Introduction
Technology is becoming part and parcel of language teaching and learning. One of the most salient and fundamental affordances technology brings to language learning is enhanced learner control. Learner control determines whether learners would proactively and effectively utilize the other affordances technology brings to language learning, such as enhanced interactivity and connectedness in learning across different spaces. However, research is piling up showing that learners, despite their increasing technological savviness, are ill prepared to make use of the freedom and control brought by technology to create optimal learning experiences (Hubbard, Reference Hubbard2013; Shadiev & Yang, Reference Shadiev and Yang2020; White & Bown, Reference White and Bown2020). Thus, to fulfill the educational potential of technology for language learning, learner training is much needed.
Learner training has come to the fore of second language education since Rubin’s (Reference Rubin1975) discussion of the characteristics of good language learners. Scholars defined learner training as the teaching of the learning strategies of successful learners to poor language learners to increase their learning efficiency (e.g. Wenden, Reference Wenden, Wenden and Rubin1987). Rees-Miller (Reference Rees-Miller1993) questioned this strategy-oriented approach for the lack of explicit attention to motivation and affective factors. Wenden (Reference Wenden1995) also argued for greater attention to task knowledge and highlighted that raising awareness of the purpose of a task is an essential aspect of learner training. Benson (Reference Benson1995) further pinpointed that discussions on learning training failed to recognize the importance of developing a critical stance toward the accepted social and ideological purposes and goals of language learning and the advocated learning methodologies, materials, and texts, and argued that enabling and supporting learners to take greater control over their learning should be the core of learner training. With the pervasiveness of technology in language teaching and learning, learner training is increasingly discussed in relation to the use of technology for language learning. Hubbard (Reference Hubbard2013, p. 164) defines learner training as “a process aimed at the construction of a knowledge and skill base that enables language learners to use technology more efficiently and effectively in support of language learning objectives than they would in the absence of such training.” Researchers advocate placing learner training at the centerpiece of computer-assisted language learning (CALL) design and practices so that learners can engage effectively with both individual technological platforms and applications and the open learning spaces in the digital wild for learning purposes (Hubbard, Reference Hubbard2019; Lai, Reference Lai, Hu and Lyu2018; Rashid et al., Reference Rashid, Howard, Cunningham and Watson2021; Reinders & Hubbard, Reference Reinders, Hubbard, Thomas, Reinders and Warschauer2013). The goal of learner training is not only to safeguard effective engagement with technological resources for language learning but also to support learners to exercise autonomy in language learning with technological resources. In this chapter, I situate the discussion of learner training in relation to CALL and define learner training broadly as a process that supports the development of motivational and affective resources and knowledge and skill repertoires to safeguard active and effective engagement with technological resources in language learning.
Background/Historical Perspectives
The development of learner training intertwines closely with the evolving discourse around digital natives and the discussion around learner autonomy and self-directed learning. Ever since Prensky (Reference Prensky2001) coined the term “digital natives” to describe the generation who grows up with digital technologies and, by default, possesses sophisticated digital skills and the ability to use digital tools effectively and efficiently, researchers have started to investigate this phenomenon and its impact on education. This body of literature has, however, yielded increasing evidence suggesting that the concept of digital natives and the assumed digital sophistication might be a myth. Research studies found that these so-called digital natives or iGeneration, despite frequent use of digital technologies, do not exhibit deep knowledge of technology beyond basic technological applications and functionality (Bullen et al., Reference Bullen, Morgan, Belfer and Qayyum2008), and tend to use technology more for entertainment and social connection than for learning and creative work (Kennedy & Fox, Reference Kennedy and Fox2013; Margaryan, Littlejohn, & Vojt, Reference Margaryan, Littlejohn and Vojt2011). Refuting the myth of digital natives, Kirschner and De Bruyckere (Reference Kirschner and De Bruyckere2017) advocated not assuming the technical skills and competences that are often attributed to today’s students and highlighted the necessity of helping them to develop the relevant technological, digital literacy and learning management skills that are essential for learning with technology. Similarly, in the language education field, research has shown that language learners, despite possessing basic computer literacy, are inadequately prepared both skill-wise and motivation-wise for online or hybrid learning (Goertler, Bollen, & Gaff, Reference Goertler, Bollen and Gaff2012; Mehran et al., Reference Mehran, Alizadeh, Koguchi and Takemura2017; Winke & Goertler, Reference Winke and Goertler2008). Moreover, scholars point out that learners may also lack the language-specific knowledge and skills, such as the awareness of embedded functions and tools within the digital platforms that are beneficial to language skill development and the effective selection and use thereof (e.g. captions in videos), lack the socio-emotional skills needed for successful and sustained interaction on online social spaces and the cognitive skills needed to benefit from the interaction, and lack the knowledge and ability necessary to perceive and act on the language learning opportunities on and across different technological spaces (Hubbard, Reference Hubbard2013; Shadiev & Yang, Reference Shadiev and Yang2020; Stockwell & Hubbard, Reference Stockwell and Hubbard2013; Vinagre & Muñoz, Reference Vinagre and Muñoz2011; White & Bown, Reference White and Bown2020). The evolving discourse around the gap between the knowledge and skills possessed by today’s students and those needed for effective use of technology for learning builds a persuasive argument for the necessity of learner training in CALL to safeguard quality interaction and learning on technological spaces.
At the same time, discussions around learner autonomy are gaining weight with the increasingly convenient access to technological resources that afford and even request learners’ control over one’s own learning (Reinders & White, Reference Reinders and White2016). Learner autonomy is deemed the ultimate goal of language education (Benson & Voller, Reference Benson and Voller2014). Associated with this increasing attention to learner autonomy are the arguments for empowering learners to self-direct their learning, especially beyond the classroom (Giveh, Ghobadi, & Zamani, Reference Giveh, Ghobadi and Zamani2018; Lai, Reference Lai2018). Self-directed learning with technological resources beyond the classroom is found to be essential to language learning as it is found to contribute uniquely to language skill development (Brevik, Reference Brevik2019; Cole & Vanderplank, Reference Cole and Vanderplank2016; Peters, Reference Peters2018) and compensates the limited language experience inside the classroom (Giveh et al., Reference Giveh, Ghobadi and Zamani2018; Lai, Reference Lai2015). However, learners are found to exhibit great variation in the frequency and quality of autonomous engagement with technological resources, which influence their gains from the experience (Lai, Hu, & Lyu, Reference Lai, Hu and Lyu2018; Sundqvist, Reference Sundqvist2019; Viberg & Grӧnlund, Reference Viberg and Grönlund2013). Learners express expectations for affective, cognitive, metacognitive, and social support from teachers and peers with regard to learner autonomy and self-directed learning beyond the classroom (Lai, Yeung, & Hu, Reference Lai, Yeung and Hu2016; Thornton, Reference Thornton, Stroupe and Kimura2013). The developing discourse around learner autonomy and self-directed learning with technology underscores the importance of learner training in helping learners to make use of technology to create enriching and personally meaningful language learning experiences across time and space.
Primary Themes
Learner training is relevant to both the interaction with individual technological platforms/tools and the construction of personalized learning ecology with technological resources. Discussions on learner training center around two major issues: what to train and how to train.
What to Train
Learner training consists of the motivation and affective dimension and the knowledge and skill dimension (Garrison, Reference Garrison1997; Holec, Reference Holec, Kjisik, Voller, Aoki and Nakata2009). The affective dimension includes both learners’ intention to initiate the learning behavior (i.e. the entering motivation), and learners’ sustained interest in the behavioral intention (i.e. the maintenance of intention) (Garrison, Reference Garrison1997). This dimension targets the psychological aspect of technology use, which involves psychological preparation prior to the technological activity and motivational scaffold throughout the activity (Chotipaktanasook, Reference Chotipaktanasook2020). The goal of psychological preparation is to develop positive attitudes toward the technological activity (i.e. to help learners see the whys behind the action and internalize the necessity and value of the actions) and enhance perceived confidence of carrying out the technological activity (Hubbard, Reference Hubbard, Fotos and Browne2004; Lai, Reference Lai2018). The focus of the motivational scaffold is to maintain continued investment in the CALL activity by strengthening the intrinsic drive (e.g. catering to personal interest, providing choices, and making visible the accomplishment and progress) and/or building extrinsic motivational mechanisms (e.g. competition, award, and collaboration). Fostering an open mindset and the cognitive flexibility to deal with the uncertainties and complexity of interacting with technology is also deemed critical to maintaining learners’ continued interest in using technological resources, especially in self-directed learning beyond the classroom (Kop & Fournier, Reference Kop and Fournier2011). The key considerations of the psychological domain of learner training is to construct and facilitate learning experiences that satisfy the three basic psychological needs for autonomous motivation: (1) the need for autonomy (i.e. the need to be the initiator of actions and obtain psychological freedom); (2) the need for competence (i.e. the need to experience a sense of confidence and accomplishment to achieve desired goals); and (3) the need for relatedness (i.e. the need to have a close and positive relationship with others and experience a sense of belonging) (Deci & Ryan, Reference Deci and Ryan1985).
The knowledge and skill dimension focuses on developing and supporting four aspects of technology use: the technical aspect (i.e. the what aspect, general digital literacy and familiarity with language-specific functionality); the pedagogical aspect (i.e. the why aspect, the mapping of the learning objectives within the CALL activity); the strategic aspect (i.e. the how aspect, techniques that facilitate and enhance the learning process), and the contextual aspect (i.e. the where and when aspect, learning needs, experiences, and situations in relation to the CALL activity) (Chotipaktanasook, Reference Chotipaktanasook2020; Romeo & Hubbard, Reference Romeo, Hubbard, Levy, Blin, Siskin and Takeuchi2010). Supporting the four aspects of technology use involves both the resource component and the strategy component. Resources are multidimensional and include material resources (i.e. the online tools and platforms), mental resources (i.e. technological and social skills and knowledge), social resources (i.e. social ties and relationships), cultural and discursive resources (i.e. beliefs and shared mentalities related to behaviors), and temporal resources (i.e. time available for the behaviors) (Van Dijk, Reference Van Dijk2005). To obtain knowledge and skills related to the resource component, students need an understanding of the selection criteria for online resources and for the functional tools within the platform, of the affordances of different online resources’ varying pedagogical purposes, and of what a quality learning experience entails (Beckman, Bennett, & Lockyer, Reference Beckman, Bennett and Lockyer2014; Lai et al., Reference Lai, Hu and Lyu2018; Lai et al., Reference Lai, Liu, Hu, Benson and Lyu2022). Students also need social and emotional support from learning communities where they share resources obtained from various venues and ways to manage the resources (Ma, Reference Ma, Chapelle and Sauro2017). The strategy component includes various cognitive and metacognitive strategies (Giveh et al., Reference Giveh, Ghobadi and Zamani2018), both generic skills and the specific skills of using technology for language learning (Benson, Reference Benson2013; Hubbard, Reference Hubbard, Fotos and Browne2004; Lai, Reference Lai2013). Generic skills include the monitoring of various cognitive and metacognitive factors (goal setting, strategic planning, task appraisal, evaluation, and reflection), behavioral factors (effort management and help seeking), affective factors (self-efficacy, anxiety management), and environment factors (time and environment management, peer learning, management of online distractions and multitasking) for self-regulation at different phases of learning (Kirschner & De Bruyckere, Reference Kirschner and De Bruyckere2017; Littlejohn et al., Reference Littlejohn, Hood, Milligan and Mustain2016; Pintrich, Reference Pintrich2000). Generic skills also include digital and information literacy (Wineburg & McGrew, Reference Wineburg and McGrew2016). Language learning-specific strategies include the development of the metalanguage related to key issues and concepts about the nature and process of language learning, the ability to coordinate cognitive attention and resources and learning behaviors to achieve optimal language learning results, and the ability to view and interact with resources strategically to optimize incidental language learning (Hubbard, Reference Hubbard2013; Reinders & White, Reference Reinders, White and Harwood2010; White & Bown, Reference White and Bown2020). These skills could be developed through scaffolding mechanisms such as goal lists, templates and prompts, examples of strategy utilization, and reflective assessments with metacognitive questions and feedback (Bernacki, Aguilar, & Byrnes, Reference Bernacki, Aguilar, Byrnes, Dettori and Persico2011). The strategy component also includes relevant social and communication strategies for successful interaction and learning experience in CALL (Giveh et al., Reference Giveh, Ghobadi and Zamani2018; Lawrence, Reference Lawrence2013).
How to Train
Learner training could be integrated coherently into the design of individual CALL applications and activities. Scholars such as Chapelle (Reference Chapelle2001) regard having a positive impact on learners as an important consideration in the design of CALL platforms, and part of the positive impact is to give students opportunities to learn about language learning and use strategies. Cooker (Reference Cooker2010) further proposed that components of learner strategy training need to be incorporated into the design either as a coherent piece or as parallel modules to go with the self-access learning materials. Training can also be threaded throughout a CALL activity to safeguard smooth implementation and learning. Take Bikowski and Vithanage’s (Reference Bikowski and Vithanage2016) study on web-based collaborative writing as an example. The researchers built coherent learner training components into this CALL activity. They included a technical training component (e.g. familiarizing students with the critical features of the platform for collaborative writing and giving them opportunities to use the tools prior to the collaborative writing task) and a strategy training component (e.g. discussing ways of effective collaboration and group communication and guiding students to form individual goals on what collaborative skills they would like to personally develop during the task) prior to the collaborative writing task. During the collaborative writing task, they engaged students to keep individual e-journals or blogs to analyze their group works’ strengths and weaknesses and reflect on their individual contributions to the collaborative task. After the task, they further engaged students in collective reflections on interactional conflicts and the collaboration process. Thus, different training components can be organically integrated into a CALL activity to support its smooth implementation and boost the relevant skills and strategies among learners. In addition, learner training could also be designed as a standalone intervention. The intervention could be an add-on component to a language course. For instance, Luo (Reference Luo2020) incorporated a MOOC course on general learning techniques (strategies against procrastination and cramming, spaced repetitions, chunking tasks, etc.) into her Spanish classes to enhance students’ self-directed Spanish learning. The embedded training could also focus on language-specific cognitive and metacognitive strategies. For instance, Zenotz (Reference Zenotz2012) integrated a four-session training program on online reading strategies into undergraduate reading classes. In Lai, Shum and Tian’s (Reference Lai, Shum and Tian2016) study, a twelve-week online training program on pedagogical rationales, resource selection strategies, and tactics for effective use of technological resources for out-of-class language learning with technological resources was organized around the development of a self-regulation feedback loop of forethought, performance, and reflection and operationalized as homework for students to study on their own. Similarly, Romeo and Hubbard (Reference Romeo, Hubbard, Levy, Blin, Siskin and Takeuchi2010) adopted the format of independent student projects plus regular in-class collaborative debriefing and biweekly consultation meetings with the instructor to embed learner training as a parallel component of the course. Moreover, standalone learner training could also be achieved through language advising, where individualized, co-constructed one-on-one reflective dialogues based on learners’ goals, interests, and situations are used to support learners’ out-of-class exploration with technological resources for language learning and challenge their existing beliefs about language learning to transform them into “highly-aware learners” who can self-advise in the learning process (Kato & Mynard, Reference Kato and Mynard2016).
Techniques such as experiential learning, goal-oriented learning, reflective activities (e.g. journals, self-assessment checklists) and cooperative learning (e.g. collaborative debriefing; online communities) are commonly interweaved in various pedagogical frameworks to operationalize learner training (Dabbagh & Kitsantas, Reference Dabbagh and Kitsantas2012; Giveh et al., Reference Giveh, Ghobadi and Zamani2018; Holec, Reference Holec, Kjisik, Voller, Aoki and Nakata2009). Take Reinders’s (Reference Reinders2010) pedagogical framework as an example. This framework starts by identifying a learning need and setting goals and planning learning to satisfy the need, which is then followed by selecting relevant resources and learning strategies and practicing the strategies in specific tasks and monitoring the strategy through teacher and peer feedback. The framework ends with assessment and revision. Constant reflection, pair or group work, and sharing sessions are threaded throughout the whole cycle to provide cognitive and affective support to students. In the meantime, scholars have also generated some general principles for the development of learner training. To enhance students’ interaction with individual CALL platforms/applications, Hubbard (Reference Hubbard, Fotos and Browne2004) proposed a set of five principles of learner training. These principles are: (1) experience CALL yourself, where teachers are expected to get first-hand experience with language learning with technology in the role of students so as to achieve a better understanding of the type of support students need in the process; (2) give learners teacher training where teachers guide students to develop a reasoned understanding of what the process of language learning involves, help students link learning objectives with specific technological experiences, and guide them to plan the CALL activities; (3) use a cyclic approach, which segments training into small junctures to focus on during each training session and engages learners to experience the CALL activity first before providing detailed training; (4) use collaborative debriefings where students get together to share and reflect collectively on their experience and strategies; and (5) teach general exploitation strategies, where teachers guide students to transfer the CALL experience to other learning situations. Expanding the discussion beyond individual CALL platforms/resources, White and Bown (Reference White and Bown2020) proposed an informed consumer approach that aims at helping language learners to become informed consumers who play a proactive role in navigating and constructing a personalized language learning ecology. The informed consumer approach emphasizes developing the framework and metalanguage of optimal language learning, immersing students in experimentation with different resources and choices, engaging students in critical evaluation of the different language learning choices and opportunities in view of the framework and metalanguage of language learning, and helping students to make connections across experiences to achieve a coordinated view. Thus, in this learning context, providing learners with the opportunities for experimentation followed by critical analysis to identify CALL experiences that add value to one’s existing learning is essential.
Current Research
Empirical studies have been conducted to examine the potential impact of learner training in general learning techniques on students’ language learning behaviors with technology. For instance, Luo (Reference Luo2020) found that including four 30-minute training sessions on general learning techniques in her Spanish classes changed the students’ learning behavior: the group who received the training incorporated more effective learning techniques in their interaction with the online learning platforms and showed greater course achievement, and the positive effects lasted beyond the training period. Yarahmadzehi and Bazleh (Reference Yarahmadzehi and Bazleh2012) also found that adding explicit training of self-directed learning techniques to normal English lessons helped enhance Iranian undergraduate students’ English language skills and readiness for self-directed English learning. These studies suggested that training on general learning techniques could enhance students’ self-directed language learning tendencies and skills.
Research has also investigated the effects of cognitive and metacognitive strategy training on students’ interaction with individual technological resources. For instance, Zenotz (Reference Zenotz2012) developed a four-session training program on five online reading strategies, including predicting, guessing from context, activating prior knowledge, purpose of reading, and being critical. The researcher found that the undergraduate English language learners who received the strategy training exhibited greater online reading performance. Ranalli (Reference Ranalli2013) focused on web-based dictionary skills and developed a five-week training program that consisted of video presentations and text-based practice activities. Undergraduate English as a second language (ESL) students who went through the training demonstrated greater abilities to select the appropriate dictionaries and use them effectively for learning, and also reported greater enjoyment of the online texts. Gagen-Lanning (Reference Gagen-Lanning2015) trained a group of university ESL learners on cognitive and metacognitive strategies they could use when using TED talk videos for second language listening. The researcher found that, after the training, those learners used more metacognitive strategies, such as pausing and rewinding, when interacting with TED talk videos and their ability to comprehend the videos also increased. Cross (Reference Cross2014) reported a case study where an advanced Japanese adult English language learner was guided via weekly reflection meetings on using metatextual skills and metacognitive strategies when listening to podcasts for independent listening development outside the classroom. The learner’s journal entries over the nine-week intervention indicated that her metacognitive capacities to interact with out-of-class podcast resources increased over time. Rashid and colleagues (Reference Rashid, Howard, Cunningham and Watson2021) adopted Romeo and Hubbard’s (Reference Romeo, Hubbard, Levy, Blin, Siskin and Takeuchi2010) training framework and developed an eight-week training schedule on the technical, pedagogical, and strategic aspects of using mobile blogs outside the classroom for a group of first-year undergraduate English language learners. The researcher found the training helped the learners develop positive attitudes toward using personal blogs on smartphones to enhance English writing skills, and the quality of their writing increased over time too. All these studies suggest that training could enhance students’ self-regulated use of strategies to interact effectively with individual technological resources.
Other studies have examined whether and how learner training interventions might enhance students’ self-directed learning with technology beyond the classroom. Pritchard (Reference Prichard2013) implemented a learner preparation program that focused on functions of Facebook and norms and strategies when using Facebook for language learning. The intervention consisted of four initial training sessions reinforced by repeated reminders. The researcher found that the intervention helped raise learners’ awareness of the language learning potentials of Facebook and enhanced their self-initiated use of Facebook for communication and social capital development, but failed to enhance their effective language learning strategies. Mutlu and Eroz-Tuga (Reference Mutlu and Eroz-Tuga2013) explored the impact of a five-week explicit language learning strategy training course coupled with CALL activities on a group of university students. They found that students who received the training were more willing to take responsibility for their own learning and reported greater engagement in self-directed out-of-class language learning using technological resources. Lai, Shum, and Tian (Reference Lai, Shum and Tian2016) conducted a twelve-week training program that targeted undergraduate English language learners’ willingness and capacities to engage in out-of-class language learning with technological resources. Pedagogical rationales, resource selection strategies, and tactics for effective use of technological resources for language learning were weaved into the training that was organized around the self-regulation feedback loop of forethought, performance and reflection. As a result of the training, students reported greater engagement in self-initiated out-of-class use of technology for language learning, and they also reported more positive attitudes and greater confidence in their abilities to make use of technological resources for language learning on their own.
In summary, the review of the existing literature on learner training in self-directed language learning with technology beyond the classroom suggests that learner training has the potential to enhance language learners’ capacities to self-direct their learning and to use technological resources effectively for language learning. But at the same time, the review revealed that despite the increasing literature on how learners’ interaction with individual technological resources could be enhanced through learner training, there is a paucity of research that investigates how to enhance learners’ self-directed appropriation of varied online resources for language learning beyond the classroom.
Recommendations for Research and Practice
Current research on learner training has primarily been based on the examination of interventions of short duration, ranging from a few weeks to one semester. However, learner training needs to be ongoing and go beyond the elementary level (Hubbard, Reference Hubbard and Liontas2018; Tecedor & Perez, Reference Tecedor and Perez2021). Hubbard (Reference Hubbard and Liontas2018) proposed adopting a longitudinal, reiterative approach to learner training, such as action research, that engages in ongoing dialogues with students’ perspectives and needs over time so as to gain an in-depth understanding of learner training. Moreover, researchers call for research that adopts dynamic approaches to examining the training needs of learners at different developmental stages. For instance, Hubbard (Reference Hubbard and Liontas2018) conceptualized that learners at the earlier stage of language learning might benefit more from technical and strategic training, whereas learners with more language learning experience might benefit more from pedagogical training. Tecedor and Perez (Reference Tecedor and Perez2021) further pointed out that the conduit and format of training might need to vary for learners at different proficiency levels due to different training needs.
The omnipresence of information and resources mediated by technology is playing an ever-increasing role in shifting learning toward informality and self-directedness (Bonk, Kim, & Xu, Reference Bonk, Kim, Xu, Spector, Lockee and Childress2019). Research on learner training needs to expand to the informal learning context. Most of the research on learner training has been conducted in instructional contexts where learner training is implemented as part of a class and learners’ interaction with technological platforms and the concomitant affective and cognitive outcomes during the class are analyzed. Not many studies have examined how the observed interaction might evolve, over time, with similar technological resources in the self-directed informal learning contexts and how to structure learner training in ways that would enhance learners’ likelihood of utilizing the knowledge and skills in informal learning contexts. Even fewer studies have examined learner training or informal mentoring that naturally occurs in the informal learning contexts, especially online interest communities (see Aragon & Davis, Reference Aragon and Davis2019 for an example), and explored how features from informal mentoring/training might be borrowed to strengthen learner training in the instructional contexts.
Moreover, although scholars like Hubbard (Reference Hubbard, Fotos and Browne2004, Reference Hubbard and Liontas2018) have underscored the importance of basing learner training on an understanding of learner perspectives, most learner training programs have stopped short of defining training needs based on the challenges learners may encounter. Existing intervention studies have primarily adopted a one-size-fits-all strategy-centric approach that focuses on expanding and strengthening learners’ strategy inventory of relevant cognitive, metacognitive, affective and social strategies. Such an approach might be effective in enhancing learners’ self-regulated interaction with individual technological platforms but may not be sufficient to extend the impact to the out-of-class learning contexts because it fails to take into account the interest-driven and personalized nature of out-of-class language learning (Lai, Reference Lai2018; Underwood, Luckin & Winters, Reference Underwood, Luckin and Winters2012). To expand the impact to the out-of-class context, which is characterized by interest-driven experiences (Barron, Reference Barron2004), students’ interest should be the starting point of learner training (Cabot, Reference Cabot2014; Lai, Reference Lai2018). Given that the ultimate goal of learner training is to enhance learners’ effective interaction with technological resources not just inside the classroom but also beyond the classroom in self-initiated informal learning contexts, a learner-centric approach to learner training is needed. Such a learner-centric training approach highlights the personalization of the training, with the specificity of the strategy training being determined by personal interest and self-determined personal goals so as to support self-initiated interest-driven personal inquiry (Benson, Reference Benson and Hall2016). But at the same time, such an approach would also group students into communities of learners based on common interests and personally meaningful problems to support collaborative inquiries (Dabbagh & Kitsantas, Reference Dabbagh and Kitsantas2012; Henry, Reference Henry and Ushioda2013).
Future Directions
Learner training is gaining increasing attention in the CALL field. The overview of this research field reveals that current research efforts on learner training have focused primarily on examining the efficacy of learner training programs, mostly the effectiveness of metacognitive and cognitive strategy training on learners’ performance in CALL activities in the instructional context. More research into the interaction of contextual factors within learner training (e.g. learner characteristics, learning context characteristics) is needed to provide a more fine-grained understanding of learner training development and implementation. One contextual factor is the technological platform design. Well-designed technological platforms might reduce the demand for learner training. How design features might interact with the demand and the efficacy of learner training is an issue that deserves exploration. Moreover, longitudinal studies of learner training and its impact on students’ learning behaviors with technology during and beyond the class in the instructional context and their subsequent learning behaviors in informal learning spaces over time are needed to provide in-depth insights into the lasting impact of learner training. The research field also needs more insights into issues around learner training on self-directed language learning with technology in informal learning contexts. Current practices on learner training, with the only exception of language advising, have primarily adopted a universal approach where all the students get the same training. More differentiated approaches to learner training may need to be adopted, where individual learners’ interests and needs are integrated into the training experience, so that learners are more likely to transfer the attitudinal and capacity gains obtained from the experience to self-initiated informal learning contexts to achieve a broader and lasting impact.
Introduction
Culture is a highly encompassing and complex concept (Peterson, Reference Peterson1979). When thinking about representations of culture, a whole host of images might come to mind. A piece of art in a gallery, a dish served at a local restaurant, or perhaps a social custom often practiced by a community. However, culture can also be much deeper and philosophically influential. Culture could be a set of principles that govern an entire society (Daniell, Reference Daniell2014), it could determine how individuals make defining life choices (Yates & de Oliveira, Reference Yates and de Oliveira2016), or it could even be spiritual and metaphysical understandings of the world attached to the physical landscape itself (Eck, Reference Eck2012). Culture is conceptually far reaching and at times long-standing, but culture also shifts and changes according to the people that uphold the culture and according to the communities in which the cultures are developed.
The onset of the twenty-first century has promoted shifts in communities and cultures around the globe, but in addition it has prompted the proliferation of digital media and their consumption on various platforms such as YouTube (Ortiz-Ospina, Reference Ortiz-Ospina2019). Digital media provide new avenues to represent culture for many marginalized communities as well as opportunities to develop digitally based pedagogies to teach about such cultures. This chapter examines the intersection between culture, digital media, and pedagogy through the exploration of several pieces of digital media centered around Indigenous Australian culture used as classroom resources. The design approach of these pieces of digital media emphasizes a culturally centered framework where cultural protocols, community, and learning from place or country are at the center of the design process. However, before exploring the Indigenous Australian digital media, we must first explore background information and relevant theoretical concepts.
Background
Interculturality in Education
Since the start of the twenty-first century, scholars in the field of applied linguistics and language education have increasingly shifted their understandings of language in terms of system, cognition, and form to focus on the idea of language as a practice “to explain how communication works in contact zones” (Canagarajah, Reference Canagarajah2013, p. 27). Language, through this lens of practice, is understood as dynamic, emergent, fluid, flexible, and contingent (Choi & Ollerhead, Reference Choi and Ollerhead2018; García & Kleyn, Reference García, Kleyn, García and Kleyn2016). Such understandings have opened up rich insights into the complexities of multilingual and intercultural communication in, as mentioned earlier, “contact zones” (Pratt, Reference Pratt, Bartholomae and Petrosky2002), where languages and cultures come together, often in contexts of conflict and misunderstanding, characterized by unequal power relationships. Just as languages are thought to be emergent in interactions, scholars in fields such as intercultural communication and education also conceive of the notion of culture as produced through intercultural exchanges. Following Dervin (Reference Dervin2016) we use the term interculturality with “the suffix -ality, which translates as a ‘something in the making’ rather than ‘the adjective-turned-into-a-noun the intercultural’” (p. 1) in order to avoid falling into the trap of understanding this dynamic point of view in static or prescribed ways.
The term “intercultural competence” can be contentious as competence not only suggests an end point (a level of mastery) but also suggests that teacher educators, or certain groups of people, have the knowledge and skills that can make students competent. In an increasingly complex, cosmopolitan world created through transcultural flows (Pennycook, Reference Pennycook2007), complex intersectionalities (Block & Corona, Reference Block, Corona and Preece2016), and where “flows of information, media symbols and images, and political and cultural ideas are constant and relentless” (Rizvy, Reference Rizvy2009, p. 265), we cannot pass on a foolproof toolkit that will guarantee success in future scenarios. Intercultural (or cosmopolitan) learning is not, as Global Studies in Education scholar Fazal Rizvy (Reference Rizvy2009) states, so much about “imparting knowledge and developing attitudes and skills for understanding other cultures per se, but … [about] helping students examine the ways in which global processes are creating conditions of economic and cultural exchange that are transforming our identities and communities” (p. 266). Similarly, in relation to students learning about interculturality in educational contexts, Dervin (Reference Dervin2016) also suggests “in a world where racism, different kinds of discrimination, and injustice are on the rise, time spent at school should contribute effectively to prepare students to be real interculturalists who can question these phenomena and act critically, ethically and responsively” (p. 2). Summarizing Dervin’s perspective of interculturality, Holliday (Reference Holliday and Jackson2012) states, and we concur, that interculturality is best understood as “a reflexive and uncertain digging beneath the surface of discourses and politics – as an elusive quality to be searched for and researched rather than to be achieved as a result of staged intercultural learning” (p. 46).
Drawing on digital media created in and for the Australian context by one of the authors (Loban) of this chapter, we aim to show how such dimensions of interculturality can be manifested in contexts of teaching and learning through the creation and playing of Indigenous cultural games. In keeping with the critical indigenous research methodologies (CIRM) framework (Brayboy et al., Reference Brayboy, Gough, Leonard, Roehl, Solyom, Lapan, Quartaroli and Riemer2012), which comprises the concepts of “relationality,” “responsibility,” “respect,” and “reciprocity,” that Loban draws on in designing an Indigenous cultural game (Loban, Reference Loban2021b), we hope to show the possibilities and challenges of opening up intercultural exchange and understanding through digital technology.
To contextualize these ideas, in the next section we outline how intercultural understanding is understood in the Australian curriculum. Then, we explain the four R’s of CIRM, drawing on Brayboy et al.’s (Reference Brayboy, Gough, Leonard, Roehl, Solyom, Lapan, Quartaroli and Riemer2012) explanations, and how these concepts not only bring into creation interculturally produced digital media that students can engage with, but are also exceptional exemplars of digital media that engage students in developing their own intercultural understandings through exploration and discussion with educators and peers. While the examples we describe in the “current research and practice” section have been designed by Loban, an expert digital media designer, we believe that the cultural design approaches outlined below can apply to the designing of intercultural pedagogical tasks that may or may not involve digital technology. Furthermore, given that many schools and other educational institutions around the world are already placing great emphasis on providing students with skills to create their own digital resources, a focus on design is neither far-off nor far-fetched.
Primary Themes
Intercultural Understanding in the Australian Curriculum as Viewed through the CIRM Framework
As Australia becomes more culturally and linguistically diverse, the development of intercultural understanding, defined in the Australian Curriculum as the “development of skills, behaviours and dispositions as well as drawing on students’ growing knowledge, understanding and critical awareness of their own and others’ cultural perspectives” (ACARA, 2021), is an important general capability of all students (and teachers). This capability consists of three interrelated elements, “recognizing culture and developing respect,” “interacting and empathizing with others,” and “reflecting on intercultural experiences and taking responsibility” (ACARA, 2021). While such elements may seem reasonable enough, when we apply the lens of the four Rs, relationality, responsibility, respect, and reciprocity, of the CIRM framework, we begin to see a static and essentialist conception of “culture” and “difference” scholars warn us against. We outline a brief explanation of the four Rs below.
The Four Rs
“Relationality” refers to knowledge not owned by an individual or based on objective truths. The production of knowledge is relational and subjective. Researchers are encouraged to “be who they are while engaged actively as participants in the research process that creates new knowledge and transforms who they are and where they are” (Weber-Pillwax, Reference Weber-Pillwax2001, p. 174). With a strong emphasis on the process of relationship-building, researchers start their work with cultural protocols for conducting research. These are
communities [that] must be approached, permission must be granted, and research must be engaged in with benevolent intent, taking into account generations past, present and future. The research itself is also conducted with a particular sense of humility; every legitimate relationship necessitates the discarding of egos and requires the researcher to recognize the responsibilities that emerge from the relationship.
“Responsibility” refers to the need to think about how researchers’ actions, decisions, and roles have long-term effects on those involved in the research which may include human and nonhuman entities such as people, animals, and places, as well as the ideas that are part of the research process. Which ideas and, how ideas are produced, and what consequences these ideas have on the lives and spaces involved matter greatly. Mutual and ongoing “respect” lies at the core of building relationships and is conceived as emerging from engaging in relationships and responsibilities. The last element, “reciprocity,” denotes researchers’ efforts to “pay it forward” by giving back to those involved in the research so that all those involved may continue to survive and thrive (Brayboy et al., Reference Brayboy, Gough, Leonard, Roehl, Solyom, Lapan, Quartaroli and Riemer2012).
Deconstructing “Intercultural Understanding” through a CIRM Lens
In “recognizing culture and developing respect,” the first element of the Australian Curriculum’s Intercultural Understanding framework, the notion of “culture” denotes a given, pre-established and bounded object that is out there for us to step into. Students are expected to “recognise and appreciate differences between people and respect another person’s point of view” (ACARA, 2021). The development of respect is not presented as an emergent process that happens through the ongoing care and responsibilities we have as we gradually build our relationships. In “interacting and empathizing with others,” the second element of the framework, students “imagin[e] what it might be like to “walk in another’s shoes” and identify with others’ feelings, situations and motivations” (ACARA, 2021). There is little description here that reflects a relational process in developing mutual empathy and respect for each other, but a process we step into prepared to empathize with others/the Other through our interactions. The boundaries between the self and others are distinctly drawn. Finally, the ready-made notion of culture as something “out there” marked with boundaries between self and other, and an omission of a relational understanding are reflected in the final element, “reflecting on intercultural experiences and taking responsibility.” In this element, “students use reflection to better understand the actions of individuals and groups in specific situations and how these are shaped by culture. They are encouraged to reflect on their own behaviours and responses to intercultural encounters and to identify cultural influences that may have contributed to these” (ACARA, 2021).
There is no sense of dialogue, consultation, or collaboration here. Furthermore, where “responsibility” is concerned, the curriculum states: “Students learn to ‘stand between cultures,’ reconcile differing cultural values and perspectives and take responsibility for their own behaviours and their interactions with others within and across cultures” (ACARA, 2021). Responsibility is centered on one’s behaviors without an understanding of the relational nature in which ideas are generated by certain ways of thinking, knowing, being, and becoming that have real and long-lasting consequences in different communities.
“Intercultural understanding,” seen through this lens, is thus “predicated on essentialist conceptions of culture, rather than within a pedagogically open framework that explores the dynamics of cultural interactions in an ongoing fashion” which according to Rizvy (Reference Rizvy2009) renders any amount of intercultural education as unhelpful (p. 267). A divisional understanding of self/other (or Self/Other) is a long way away from coming to understand this thing called “culture” as something invented, made up in the dynamic processes of our intercultural relations, and ontologically connected to human and non-human entities. The “backwards and forwards, deep-digging and indeed political process [that] contributes to a deCentred interculturality that finds Self in Other and Other in Self as implied by Dervin (Reference Dervin2016)” (Holliday, Reference Holliday, Kumar and WelikalaT2021, p. 194) requires new ways of learning about interculturality.
In the following section, we outline four cultural design approaches to show how interculturality underpinned by the overall values or virtues in the four Rs can be experienced through digital media (see also Loban, Reference Loban2021a for an extended discussion on the relationship between his creations and the four Rs).
Current Research and Practice
Cultural Design Approaches and Digital Media Exemplars for Experiencing Interculturality
There are several approaches to cultural design of digital media and these approaches will vary depending on the media and the type of cultural story and content educators want to communicate. Approaches may vary depending on educators’ own position in relation to the culture and their access to the culture of a particular community. In this chapter, we examine four pieces of cultural digital media created by one of the authors (Loban, the media creator) and identify several different cultural design approaches during the development of the digital media. The media creator grouped these cultural design processes into four categories: a shared cultural design approach, a personal cultural design approach, a community cultural design approach, and an external cultural design approach.
Shared Cultural Design Approach
In a shared cultural design approach, the content creator draws upon shared knowledge from their home environment, nation, country, or place to inform the cultural design and content of the digital media. There have been academic discussions about shared cultural identities, heritage, and histories that are sometimes in dispute (Chong, Reference Chong2012; Hall, Reference Hall2020; Van Gorp & Renes, Reference Van Gorp and Renes2007) within communities. Nonetheless, this cultural design approach has the utility to communicate the broad and shared knowledge of a culture to an audience. This knowledge could include historical cultural stories, or modern-day cultural practices, and this knowledge may differ from person to person. However, the knowledge remains as distinctly shared cultural knowledge of a people.
An example of a shared cultural design approach is illustrated in the development of a digital escape room based on Torres Strait stories the creator learned from childhood into adulthood. The escape room communicates elements of cultural stories appreciated and shared within the Torres Strait community. In this cultural reimagined story, the players encounter a Dogai (Gela, Reference Gela1993; Lawrie, Reference Lawrie1970), a typically malevolent shapeshifting spirit who takes one’s place in the island world and banishes the player to an underwater cavern. The player must escape by approaching various denizens of the cavern and obtain passwords from them by completing tasks related to Torres Strait knowledge. Embedded in these different tasks is knowledge related to astronomy, geography, and stories that are shared by the Torres Strait community. Each task leveraged Google Forms as a way for students to input their answers, which provided a password to progress to the next task (Figure 19.1 provides an example of a story task and related questions). In this instance, the shared cultural design process focuses on a group or region, that is, the Torres Straits, and communicates knowledge that is shared among Torres Strait Islanders.

Figure 19.1 Example of a set of tasks the student needs to solve before obtaining the password to access the next set of tasks. In this task, students are required to examine and familiarize themselves with the Torres Strait story of Gelam in order to answer the task questions.
This instance of digital media heavily emphasizes “Relationality” of knowledge as that which is shared among Torres Straits Islanders rather than belonging to any one Torres Strait person (Brayboy et al., Reference Brayboy, Gough, Leonard, Roehl, Solyom, Lapan, Quartaroli and Riemer2012). These stories are constantly evolving and, with “responsibility” and “respect” to the shared community knowledge, such stories and knowledge can be expressed through various contemporary media including art, song, dance, and now digital media.
Personal Cultural Design Approach
Shared culture differs from personal cultural knowledge, which is more specific to individuals or families within a cultural context. In a personal cultural design approach, the content creator draws upon personal and familial stories, experiences, and understandings to inform the design of the digital media. Individual stories and experiences have often been used as a method in the past to communicate one’s culture and history (Cohen, Reference Cohen2004; De Leeuw & Rydin, Reference De Leeuw and Rydin2007). The personal cultural design approach has potential to add considerable value to the cultural content of media as the content is the real-life experience of culture in context and in action.
An example of a personal cultural design approach would be a video that the creator developed for an Indigenous Education class, where there was a module on using food to teach Indigenous culture and history. In the module, there were videos of cooking traditional Torres Strait dishes and an explanation of their history and cultural significance. The creator included dishes that had cultural aspects that were personally relevant and important to him. One such video explained the family dish of Torres Strait Semur, which is a type of traditional beef stew. The creator shared this personal cultural understanding with his students through a YouTube channel called Yumi Place (www.youtube.com/channel/UC29ovEcJDKKFreb9-oltyPw). The content is publicly available so students can access it later as a teaching resource (Figure 19.2 shows a screenshot of the Torres Strait Semur video). The video discusses how the Semur dish is not solely a Torres Strait Islander dish, but also an Indonesian dish that was brought to the Torres Straits by Indonesian migrants. The video discusses how these migrants did not always come to the Torres Straits voluntarily, as the creator’s own Great Dato (grandfather) was kidnapped at a young age, brought to the Torres Straits (Gaffney, Reference Gaffney1989), and forced into indentured labor, which was an enslavement practice that existed during that time in Northern Australia. The video communicates that the island creator’s Great Dato was from Banda Neira in the Banda Islands, where many of the world’s spices such as nutmeg and cloves are predominantly found (Jordan, Reference Jordan2016; Villiers, Reference Villiers1981). The influences of these ingredients are seen in Torres Strait cooking and even more specifically within the creator’s family Semur recipe. This personal story communicates culture through an individual’s own experiences and connection to family, community, and place. It discusses one family’s culture and personal history, and how Torres Strait culture has been informed and shaped by personal stories and interactions.

Figure 19.2 Screenshot of the Torres Strait Semur video showing the creator’s family’s finished Semur dish.
During the development of the video, “relationality” formed a significant part of the personal cultural design approach as the knowledge is shared among family. This relates to how such personal knowledge and stories interact with and contribute to the wider cultural community (Brayboy et al., Reference Brayboy, Gough, Leonard, Roehl, Solyom, Lapan, Quartaroli and Riemer2012). “Responsibility” and “respect” to one’s family and familial knowledge also play a significant role in what and how such personal knowledge and stories can be shared. “Reciprocity” is also required to care for and acknowledge, where appropriate, personal and familial knowledge holders. This story also decenters the Eurocentric focus of Australian history and focuses on Indigenous–Asian cultural interactions and the formation of new cultural knowledge and identities.
Community Cultural Design Approach
A community cultural design approach focuses on developing media in partnership with the community and respected members and asks for their input and feedback to help shape the content. This type of community-based process is typical in many Indigenous communities, such as in the Torres Straits, where protocols often involve extended discussion to arrive at a community consensus and decision. This process can be applied to the cultural design of digital media to help inspire new directions, add greater authenticity, and validate present content.
An example of a community cultural design approach occurred during the development of the game Torres Strait Virtual Reality (TSVR), a project led by the media creator. Torres Strait Virtual Reality embedded Torres Strait Islander culture and knowledge into a virtual reality environment (Figure 19.3 shows an in-game screenshot of TSVR). During the game design and development process, an elder was heavily involved in the project, helping determine the game’s storyline, content, and overall design. In addition, playtests were carried out with various individuals and organizations representing the Indigenous Australian community, who provided cultural and technical feedback to the project team. This process synchronizes well with player-centered design in digital media (Ermi & Mäyrä, Reference Ermi and Mäyrä2005; Salen, Tekinbaş, & Zimmerman, Reference Salen, Tekinbaş and Zimmerman2004) as the process fulfills both playtesting requirements and cultural protocol requirements through a series of iterative inputs from the community to help shape a piece of digital media.

Figure 19.3 A screenshot of Torres Strait Virtual Reality showing Baidam the Shark, a constellation in the northern sky.
Throughout the development process of TSVR, the game design unwittingly aligned with CIRM (Brayboy et al., Reference Brayboy, Gough, Leonard, Roehl, Solyom, Lapan, Quartaroli and Riemer2012). “Relationality” was reflected by engaging a Torres Strait elder and the community in the project to help shape the design and end product. “Respect” was the care taken in how Torres Strait culture was represented through the game and “responsibility” was required to follow cultural protocols and ensure a more culturally sound media product. “Reciprocity” manifested in general ways such as compensating the elder for his knowledge and time and volunteering in various university programs to display the game. The author also tried to use the game to promote and advocate for Torres Strait Islander culture and perspectives.
External Cultural Design Approach
An external cultural design approach involves a person outside the culture undertaking research and learning experiences in order to develop cultural media. This cultural design process focuses not on any personal, shared, or community approach, but rather from the perspective of a creator attempting to understand and learn about a culture, people, or place from an external perspective. Being an outsider means there are complexities and difficulties that need to be understood to respectfully embed culture in a piece of digital media. To strive toward the minimization of issues, the external cultural design approach draws strongly on the learning from the country model in cultural education (Harrison & Sellwood, Reference Harrison and Sellwood2016; Harrison & Skrebneva, Reference Harrison and Skrebneva2020; Harrison et al., Reference Harrison, Bodkin, Bodkin-Andrews and Mackinlay2017). Learning from country involves actively discovering new knowledge from the people and environment as opposed to solely learning from other media or texts. This approach puts into practice culture as ongoing and ever-present interactions and experiences between peoples and environments. Researchers are able to use other textual and digital media to inform their own media, but the cultural content in the digital media is made stronger and supported with firsthand experiences and interactions with the people and their environment. Tools such as the Selecting and evaluating resources document (Queensland Studies Authority, 2007) can be used to assess the appropriateness of nonexperiential sources if they need to be used in research. Ideally, with enough community engagement and amplification of cultural knowledge holders’ voices, the external cultural design approach fencompasses elements of a community cultural design approach.
An example of an external cultural design approach occurred during the creator’s development of an interactive 360-degree environment of the Macquarie University bush garden to communicate the role of bush gardens and plants in some Aboriginal communities. The creator, who is not Aboriginal, supplemented his internet and textbook research by undertaking tours of the Sydney Botanical Gardens and the Macquarie University bush gardens and visiting an Indigenous plant nursery. Additionally, the creator independently explored the Macquarie University bush garden, learning from sensory engagement with the plants, and information boards about the plants as well as the Macquarie University bush garden website. Based on his learning from country and external research, he created an example of an interactive 360-degree environment of the Macquarie University bush garden using the 360-degree tour builder Thinglink (www.thinglink.com/). The 360-degree environment shows a 360-degree picture of the university bush gardens and highlights points of interest with further 2D pictures and explanations of the plants with their traditional Aboriginal uses, as either medicine or food. The example 360-degree environment was then used by the students as an inspiration and a guide to create their own interactive 360-degree environment. The interactive media development involved students finding a local place of Indigenous significance, performing their research on their chosen place, visiting their chosen place, and learning from the experiences and research on their chosen place. This exercise encouraged students to learn about their local area from historical and contemporary perspectives, especially concerning local Indigenous cultures.
Students ideally undergo a cultural experiential learning process with the produced digital media a demonstration of their cultural experience and insight. This learning and media production process has also been found to produce valuable learning outcomes with students researching and inserting their own historical analysis into a video game through the process of modding (or modifying) a game (Loban, Reference Loban2021a). At the end of the process, students will have produced a media product, and, in educational contexts, the media can be used to potentially assess their cultural knowledge and experiences.
Given the researcher and content creator is external to the culture in question, CIRM is highly important and needs to be deeply embedded in an external cultural design approach (Brayboy et al., Reference Brayboy, Gough, Leonard, Roehl, Solyom, Lapan, Quartaroli and Riemer2012). Understanding one’s “relationality” and one’s relationships to such cultural knowledge is pivotal to show respect to the culture and the custodians of the cultural knowledge. Additionally, it is important for creators to explain their process for engaging with the culture where possible. “Responsibility” and “respect” to the culture in question are necessary to authentically engage and represent the culture through digital media as an outsider. Media creators can embody “reciprocity” in their project by giving back to the culture and community where cultural knowledge holders are sharing their knowledge and time.
Varied Cultural Design Approaches
In summary, each cultural design approach provides very different takes on the development of digital media. A shared cultural design approach can be used to embed broad shared understandings of a culture into a medium, while a personal cultural design approach can be used to help communicate personal cultural stories and experiences through digital media. A community cultural design approach aligns with common Indigenous cultural protocols around consensus and leverages the community to help develop and shape a piece of media. An external cultural design approach allows those who are not from a given culture or do not have access to a community, to supplement their design approach with real experiences and interactions with a culture and its people. These different cultural design approaches are not mutually exclusive and often a piece of digital media can include a combination of these approaches to achieve a culturally sound digital media output.
Limitations
One limitation of the cultural design approaches to digital media is that prior knowledge of media development or learning on the job how to develop digital media is required to gain the full learning benefits. This extra requirement could shift the focus away from the cultural learning experience for some students. This shift may require the media developer first to learn the needed digital skillset to learn efficiently about culture through media development. This issue also applies if the creator wishes to develop polished media to communicate their knowledge of the culture effectively. However, this issue may vary from medium to medium, with some media development requiring little time investment while other media are more intensive. Moreover, there are often guides, instructions, and online support for those developing the media in question. These digital skills requirements are similar to the requirement for skills to express one’s knowledge, whether writing, speaking, performance, or any other form of expression. It should also be noted that this chapter only examined four pieces of media with distinct approaches. There may be different cultural design approaches when representing culture through digital media.
Recommendations for Research and Practice
Where the creation and use of digital media are involved in contexts of teaching and learning, we would like to see more research on:
technological and pedagogical designs that enable students to engage in experiencing interculturality in the decentered way we have presented here. Some questions may be: How do certain technological and pedagogical design features afford or limit opportunities for critical self-reflexivity, interrogation, negotiation, and co-construction of meaning and cultural exploration? What are the underlying values, virtues, and purposes behind chosen digital media and the approaches taken to educate students on interculturality?
the relationship between pedagogical approaches and the outcomes of the instruction, as articulated by teachers on their intentions and expectations and students themselves discussing their experiences and what they learned. Related to this suggestion, a critical discourse analysis of curriculum expectations is also necessary to realize the ideological gaps between curriculum designers, teachers, and students.
the complex use of students’ knowledge resources, which may include multiple languages, understandings from personal cultural trajectories, different levels and types of digital literacies, and their ways of making and negotiating meaning using digital resources.
Findings from such research can help us to better understand and prepare for rich, meaningful, and transformative classroom interactions that work toward building relationships that are relational, responsible, respectful, and reciprocal.
Using digital media to learn about culture also has significant implications for teaching practice. Not only do teachers need to facilitate and instill in their learners skills of collaboration, digital competence, and intercultural competence, but they need to cultivate and foster these skills in themselves too. An important place to start with this is for teachers to find out more about their learners and their families and community networks to create links between learners’ classroom learning and their lives outside school. Facilitating a digital environment that allows for a wide variety of digital tools and virtual spaces, akin to those shared in this chapter, will enable learners to better articulate their cultural identities, skills, and knowledge.
By integrating digital tools for cultural learning as an essential part of curriculum and lesson planning, learners can become active participants in the design-based research process. They can identify and articulate the constraints and enablements of different digital modes and contribute to their overall feasibility and success.
Future Directions
In the literature, scholars promote the importance of pedagogies that include dimensions of historicity, criticality, relationality, and reflexivity (Rizvy, Reference Rizvy2009, p. 267) when learning about, practicing, or reflecting on interculturality. This kind of learning, where we are learning about others, requires learning about ourselves. It implies “a dialectical mode of thinking, which conceives cultural differences as neither absolute nor necessarily antagonistic, but deeply interconnected and relationally defined” (Rizvy, Reference Rizvy2009, p. 266). Critical autoethnographic methodologies performed through creative textual platforms that investigate our own cultural trajectories to decenter who we are (see Holliday, Reference Holliday and Jackson2012; Holman Jones & Pruyn, Reference Homan Jones and Pruyn2018) can be productive places to start in projects of intercultural experiences.
At the heart of this cultural and intercultural discussion is the need to consider community and places as they exist. Outsiders of a cultural group could easily read a textbook and interpret what the culture is in their heads from that historical snapshot in time, imagining this past understanding as the culture that might exist now. However, cultures are reflected by their people, communities, and place or country, which can change. Therefore, future designers and educators must consider current cultural communities, people, and places in their media to work toward closer representations of these cultures. Future shifts toward these aims will promote a sounder digital media design process, enhanced cultural pedagogies, and, most importantly, more authentic portrayals of cultures and communities.
The role of technology in intercultural learning is multifaceted and complex. The teaching of intercultural competence cannot simply be outsourced to a digital tool, platform, or program. Instead, it needs to be integrated into classroom content in a theoretically robust way so that students can engage in deep and meaningful learning about themselves and their own cultural narratives as well as those of others. This opens up exciting possibilities for critical understanding and for instilling in our learners twenty-first-century skills that are both sensitive and responsive to a wide range of local and global contexts.
Introduction
This chapter discusses what teachers need to know about teaching with digital technologies, but it is important first to acknowledge that “technology” in language teaching can be understood to include much more than computers and other digital devices. In fact, the technology that has had by far the greatest impact on language learning and teaching is the technology of writing, which most people don’t think of as a technology – but it very much is. The invention of writing allowed language to take visible form, to be miraculously transmitted at distances beyond earshot, and to be preserved, making communication possible across time, and between people who have never met one another. So, when we talk about literacy, we are always also talking about technology and specifically people’s ability to deal with the technology of writing and the interpretation of written texts. By extension, in this chapter we will use the term literacy to refer also to the know-how needed to deal with language – and other semiotic systems and modes – as mediated by digital hardware and software.
Such a capacious definition of literacy (indeed, literacies, given the multiplicity of contexts and media implied) was advocated by the New London Group (1996), a team of ten scholars from Australia, Great Britain, and the United States, including Courtney Cazden, Bill Cope, Norman Fairclough, James Gee, Mary Kalantzis, Gunther Kress, and Alan Luke, among others. Their 1996 manifesto argued for broadening the understanding of literacy beyond “formalized, monolingual, monocultural, and rule-governed forms of language” (p. 61) to include “negotiating a multiplicity of discourses” (p. 61) that could accommodate a broad range of linguistic and cultural diversity on the one hand, and the ever-broadening variety of textual forms born of multimedia technologies on the other. To emphasize these two types of diversity, they coined the term “multiliteracies” and proposed a new kind of pedagogy, in which “language and other modes of meaning are dynamic representational resources, constantly being remade by their users as they work to achieve their various cultural purposes” (p. 64). In this chapter, we will apply this broad perspective to uses of technology in teaching languages.
Background
In the early days of the World Wide Web in the 1990s, digital literacy was mostly about knowing how to access web pages and to follow hyperlinks. People had access to lots of information, but little ability to transform the form, substance, or framing of that information. Images were used primarily to illustrate or embellish textual content. With Web 2.0, the internet became much more personal, creative, social, and multimodal. Images (and video) became a major form of content. “Writing” was expanded to multimodal composing, often involving the use of design templates and sometimes programming skills. In addition to being a vast repository of information, the internet also became a site of social participation, where people engaged one another by tagging, liking, friending, and posting on social media platforms, and it was possible for ordinary individuals to communicate with potentially hundreds, thousands, or even millions of people around the world. In this context, teachers were no longer gatekeepers of information, and they often learned as much from their students as their students learned from them with respect to applications of technology. Recently, uses of artificial intelligence (AI) (Bonner & Reinders, Reference Bonner and Reinders2018) and generative pre-trained transformers (Godwin-Jones, Reference Godwin-Jones2021) have blurred the lines between human and machine communication, and many of our acts of online reading, writing, and decision-making have now become marketable data that have a washback effect on our online experiences (Zuboff, Reference Zuboff2019).
Over this period, conceptions of technology and its contributions to language learning evolved considerably, particularly with respect to metaphors, understandings of literacy, and its cultural dimensions.
Metaphors of Technology Use
A number of metaphors have been applied to thinking about technology in language learning and teaching. Computer-assisted language learning (CALL) has traditionally framed the use of computers as tutor, tool, or medium (Kern, Reference Kern2006; Levy, Reference Levy1997), each with its respective implications for the role of the teacher and the learner.
The tutor role suggests the computer is simulating a teacher in some way, providing instruction, practice, feedback, and assessment. One example would be language learning apps such as DuoLingo, Babbel, Pimsleur, or Rosetta Stone. The usual presumption is that learners use such applications autonomously, self-pacing their learning.
The tool role suggests provision of resources to the learner, who may be studying the language with a teacher or learning independently. These resources might include reference materials such as online dictionaries, grammars, concordances, or translation sites, or sources of cultural content such as news media, films and videos, radio and television broadcasts, special interest websites, blogs, podcasts, advertisements, songs, performances, speeches, and so on. Although such resources can be used independently by learners, a teacher’s guidance can clarify how such resources can be used to optimize language learning.
The medium role frames the digital device as a channel of communication through which the learner can interact with other speakers of the language (whether they are other learners or native speakers). This would include social media, email, texting, videoconferencing, and discussion forums.
Because some uses of technology might involve several of these qualities, however, a fourth, ecological metaphor is useful. For example, online gaming, and some of the classic technology-based language learning projects, such as À la rencontre de Philippe, Dans un quartier de Paris, and Cultura (Furstenberg & Levet, Reference Furstenberg and Levet1999, Reference Furstenberg, Levet and Chun2014; Furstenberg et al., Reference Furstenberg, Murray, Malone and Farman-Farmaian1993), integrate elements of tutor, tool, and medium roles all within an immersive environment. The ecology metaphor – because it focuses specifically on relationships between learners and their environments (including nonhuman artifacts such as computers) – has become particularly appealing as multimodal technology has evolved (e.g. Cope & Kalantzis, Reference Cope and Kalantzis2017; Thoms & Poole, Reference Thoms and Poole2017).
Multiliteracies and Design of Meaning
Ideas from the New London Group’s (1996) manifesto on multiliteracies have been developed by many scholars over the years, but especially through the work of Cope and Kalantzis (e.g. Reference Cope and Kalantzis2000, Reference Cope and Kalantzis2009) and Kress (e.g. Reference Kress2003, Reference Kress2010), advocating a perspective expanding beyond linguistics to semiotics. Particularly important is the shift in perspective from static notions of competence and acquisition tied to a primarily linguistic focus on form to a more dynamic notion of design associated with a semiotic focus on the conjunction of form-and-meaning (Kress, Reference Kress2003, p. 40). Design of meaning is about people’s creative monitoring of how they use existing resources to redesign activities in the very act of performing them (for example, learning to compose a digital story in a new language and culture, which can lead to new insights about the genre as well as the culture). Design implies the possibility of choice among options, which accounts for styles of designing meaning (Kress, Reference Kress2010, p. 28).
Multiplicity of literacies means that no one is ever literate in all possible ways. Sharing and commenting on images in Instagram or Flickr involves a different set of knowledge, skills, and practices than designing a personal website or composing a digital story or transforming one’s image on TikTok. In the realm of electronic writing, writing an email, a text message, or a tweet each involve unique genre constraints, and their compositional features will vary widely with the intended audience and purpose. Teachers can help their students to become consciously aware of the constraints and freedoms they have to work with.
The multiliteracies movement in education has echoed other poststructuralist trends within the language teaching profession. For example, some programs have moved away from normative native speaker models toward translingual and transcultural models, embracing notions such as translanguaging (Garcia & Wei, Reference Garcia and Wei2014) and new notions of competence, such as intercultural competence (Liddicoat & Scarino, Reference Liddicoat and Scarino2013) and symbolic competence (Kramsch, Reference Kramsch2020). At the same time (and especially during pandemic remote instruction), teachers have increasingly designed learning activities that foster students’ autonomy and agency. Using the language outside the classroom is an increasingly important goal, and many programs offer opportunities for community participation in the target language, whether through internships, study abroad, or engaged scholarship experiences (Barili & Byram, Reference Barili and Byram2021). With respect to teaching with technology, this means that technology is used to expose learners to language varieties that are beyond their routine experience, to connect with other users of the language (whether native speakers or not) to learn about and from them, to reflect on how the foreign culture is represented in various ways in different online environments, and to create multimodal representations of what they are learning.
Cultural Dimensions of Technology
As symbolic systems, digital technologies must represent themselves – via an interface – to people in ways that people can understand (Johnson, Reference Johnson1997). Technologies are therefore not just a matter of hardware and media; they are intrinsically bound to culturally embedded attitudes, beliefs, practices, and expectations that vary across different parts of the world (Bell, Reference Bell2006). Moreover, just as the affordances of digital technologies get taken up differently by different cultural groups, so do digital technologies inspire new configurations of sociality, new ways of constructing identities, and new frames for making sense of the world. Consider, for example, how “profiles,” “status updates,” and “tweets,” and notions of “friends” and “followers” have transformed how we represent ourselves and relate to others in social media environments. In other words, technology is a part of culture, and culture is a part of technology.
Most research on using technology in language education naturally focuses on how computers (or other digital devices) might improve language and intercultural communication skills.Footnote 1 Three areas of substantial impact have been learners’ ability to (1) develop their agency/autonomy and to express their identities, (2) develop their creativity in new ways, and (3) interact in new ways with other speakers of the language (Kern, Reference Kern2021). One area that deserves more attention than it has received is the symbolic and mediational dimensions of digital technologies and how they affect meaning making in online environments (Kern, Reference Kern2015). We can easily access cultural artifacts (text, music, video, films, etc.) from around the world, but how does the digital mediatization of these artifacts affect the interpretations and representations that we develop from them? Similarly, when we communicate via videoconference or text with speakers of a language, how does that technological mediation affect our representations of one another (Kern & Develotte, Reference Kern and Develotte2018)? What might language learners need to learn about the supranational culture of the internet (and its genres) in addition to the culture(s) and genres of the language they are learning? From this viewpoint, literacy in technology-mediated learning environments introduces the need for new kinds of critical thinking, focused, for example, on the biases inherent in the structural features of a given medium (e.g. PowerPoint, social media sites, smartphone keypad, autocorrect), making one goal of teaching to sensitize students to the various logics at play in texts and textual production (e.g. image, speech, writing, music) and to help them see how these logics affect meaning (Kress, Reference Kress2003). These kinds of critical reflection cannot be expected to develop spontaneously but rather benefit tremendously from teachers’ guidance.
We will now consider several areas where teachers play a key role in the development of their students’ language and literacy abilities via technology.
Primary Themes
Autonomy
Language learners can find a plethora of reference materials, tutorials, news, music, videos, films, and other cultural products on the internet. However, they often gravitate to the first sources they find, and this is where teachers can provide an important guiding hand, giving them suggestions about truly helpful dictionaries and instructional videos, orientating them to the political stances of popular news sources, giving tips on doing effective online searches. A particularly important role teachers can play is structuring opportunities for their students to engage with other speakers of the language through social media, forums, and telecollaborative exchanges, and then discussing those communication experiences with their students to highlight moments of intercultural significance. Stockwell and Reinders (Reference Stockwell and Reinders2019) point out that technology doesn’t make learners autonomous, but when learners who already have some degree of autonomy realize what they can do with technology, they can be motivated to work independently (and this is where teacher guidance is important).
Mobility
The interlinking of portable digital devices (smartphones, tablets, watches, glasses, and other forms of wearable technology) – together with location services that allow a device to “know” where it is – make possible immersive augmented reality (AR) environments as well as interaction with social robots. Augmented reality creates the possibility of annotating real-life objects with sound, text, images, and animations (as in viewing a restaurant menu through a smartphone lens and seeing the text translated into one’s native language, or viewing a painting in a museum and activating an audio narrative as well as superimposed visual markers or images of other paintings by the same artist for comparison). Mobile-assisted language learning (MALL) can be used to supplement classroom learning by cutting across boundaries of formal and informal learning opportunities both in and out of school. Hellermann and Thorne (Reference Hellermann and Thorne2022), for example, describe students’ language use (and embodied actions) in a mobile AR language learning activity involving digital maps and a series of observational and problem-solving tasks using a mobile phone. Assigned to collaboratively develop an oral report of their findings, students had to engage with the materiality of five different locations, negotiate a narrative, and analyze their learning back in the classroom. Augmented reality may also be useful to learners exploring the linguistic landscape (Bruzos, Reference Bruzos, Malinowski, Maxim and Dubreil2020; Malinowski & Dubreil, Reference Malinowski, Dubreil and Chapelle2019) of multilingual urban communities at home or abroad. Social robots, including intelligent personal assistants such as Amazon Alexa, Google Assistant, Apple Siri, have not yet been widely used for language learning purposes, but preliminary studies (e.g. Cai, Pan, & Liu, Reference Cai, Pan and Liu2022; Dizon, Tang, & Yamamoto, Reference Dizon, Tang and Yamamoto2022) show their potential benefit, especially for learning vocabulary and pronunciation.
The realization of MALL’s potential may well rely on the guidance of teachers, however. As Stockwell (Reference Stockwell, Farr and Murray2016) points out, even though it is easy to assume that language learners are fully capable of using technology for a range of uses, this is not necessarily the case. Stockwell underlines the importance not only of technical training but also “strategic training” and “pedagogical training” (i.e. communicating to learners why the particular tasks/activities are important to their learning), which have been shown to increase learners’ time on task, enhance their attitude toward mobile learning, and improve their language performance (p. 303). Furthermore, Blyth (Reference Blyth2018) reminds us that although smart technologies are good with literal meanings, their interpretive capabilities are less sensitive to context than humans’ and consequently teachers will need to continue to stress meaning-making in context, along with the pragmatic knowledge to interpret it – and that this is particularly important in multimodal and intercultural communication.
Creativity
Language learners have more options than ever for expressing themselves. Social media environments like TikTok provide an audiovisual playground, allowing learners to take on identities they could not assume in “real” life (Albawardi & Jones, Reference Albawardi and Jones2020). Multimodal composition (Yi, Shin, & Cimasko, Reference Yi, Shin and Cimasko2020), incorporating video, photographs, drawings, animation, voice, text, or music to develop short personal filmic narratives, requires learners to adapt or transfer their understanding of composition to meet their rhetorical objectives (Alexander, DePalma, & Ringer, Reference Alexander, DePalma and Ringer2016). It also calls for new assessment perspectives on the part of teachers. Whereas academic norms of traditional writing are well established, norms and standards relevant to multimedia composition are more elusive and will vary widely with context of use. Hafner and Ho (Reference Hafner and Ho2020) propose a multistage, process-oriented model for assessing multimodal compositions in both formative and summative ways. One aspect of multimodal composition that can be challenging for teachers is its very multimodality: to what extent should language remain the central focus in the context of a language class (Polio, Reference Polio2019)? A second challenging aspect is the widespread practice of remixing, or combining and manipulating cultural artifacts to produce something new (Knobel & Lankshear, Reference Knobel and Lankshear2008). At what point is appropriation simply plagiarism, and when does it count as creative innovation? Wondering whether appropriation promotes or obscures learners’ voices, Hafner (Reference Hafner2015) concludes that it can do both, depending on how it is used. What seems clear from research on multimodal composition is that learners need teacher guidance in thinking through the ethics of appropriation in their digital creations.Footnote 2
Communities
Participation in communities has long been an important component of language learning. One key principle for teachers to keep in mind is that technology allows students not only to interact in novel ways with one another but also to participate in multiple communities that extend far beyond the classroom – and that the classroom can be used as a space to reflect on students’ experiences in those communities.
Within the classroom community, synchronous and asynchronous written discussions can transform the habitual interpersonal dynamics of face-to-face interaction, often boosting the quantity and quality of students’ participation, especially among those who tend to be quiet in class discussions (Kern, Reference Kern1995). Students’ self-presentations on social media (e.g. Instagram or TikTok) allow students to learn about one another’s interests and talents in ways that might be more difficult to accomplish face-to-face in the classroom.
Outside class, exchanges with pen pals, partner classes, or other speakers of the target language can provide communicative practice, intercultural learning, and external validation of learners’ language abilities. Research under the rubrics of virtual exchange, telecollaboration, or collaborative online international learning (COIL) is voluminous, but O’Dowd and O’Rourke (Reference O’Dowd and O’Rourke2019) and Potolia and Derivry-Plard (Reference Potolia and Derivry-Plard2023) offer excellent starting points.
Fan fiction (Sauro, Reference Sauro2017) is one way language learners can participate in more virtual communities. Fans of television shows, movies, books, plays, video games (or of celebrities such as actors, musicians, and athletes) use digital environments to discuss an episode or, most often, elaborate their own creative adaptations or extensions of narratives. Online collaborative games, such as Pokemon Go! or World of Warcraft, offer motivating goal-driven opportunities for communicative interaction, decision-making, and collaboration with other players (Sykes, Reference Sykes2018; Thorne, Black, & Sykes, Reference Thorne, Black and Sykes2009). Virtual reality (VR) environments like Second Life stimulate learners’ imagination, allowing them to create immersive community contexts that allow them to experiment with identities through avatars. Lan (Reference Lan2020) warns, however, that if teachers do not play an active role in organizing and facilitating activities that involve learners in generating questions, testing hypotheses, and learning from feedback, VR can become “just another new fancy technology that can easily lose support from teachers and the interest of students as its novelty fades” (p. X). On the other hand, overly zealous teacher-structuring of tasks can also cause student interest and motivation to flag, so attention to students’ “desire lines” (Thorne, Reference Thorne2019) and finding a balance between unfettered individual curiosity-driven exploration and pedagogical structure is important. Above all, teachers should provide learners with opportunities for scaffolded reflection on their community interactions so they can share and learn from the communication difficulties, misunderstandings, cultural surprises, or moments of insight or elation they experience.
Current Research and Practice
Researchers continue to actively work on all of the themes mentioned in the previous section, but one recent and important area of language/literacy research is related to AI and machine translation. Work in natural language processing and AI is informing a new generation of language learning applications that will be able to chat with learners on a wide variety of topics, offer suggestions for writing (or write entire essays) based on predictive text algorithms, and instantly translate passages. One thing that is interesting about AI is that it presents specific conditions (interaction with nonhuman agents) that inevitably change the dynamic of communication. Notions of intentionality, empathy, cooperation, negotiation, and intersubjectivity must be interpreted as either absent or as having been programmed by a nonpresent third party (thus being acontextual). It remains to be seen whether such tools will have a positive effect on language learning, since in some ways they short-circuit the learning process, doing precisely the cognitive work that learners presumably need to do themselves. But here the analogy is often made with mathematics and calculators (which have not impeded generations of students doing higher level math).
AI-based writing assistants such as Grammarly have been shown to reduce errors and improve lexical variety in students’ writing (Dizon & Gayed, Reference Dizon and Gayed2021), but direct explicit feedback often engages learners only superficially (Liu & Yu, Reference Liu and Yu2022). While predictive text accelerates text entry on a computer or smartphone, it also has the potential to shape what people write. For example, Arnold, Chancey, and Gajos (Reference Arnold, Chauncey and Gajos2020) found that captions written with text suggestions were shorter and used fewer unpredictable words than when people wrote captions without text suggestions. In other words, predictive text encourages predictable writing. Gayed et al. (Reference Gayed, Carlon, Oriola and Cross2022) developed an AI-based application called AI KAKU with delayed text prediction and reverse translation to help Japanese ESL learners compose longer and better texts in English, but found in a pilot study that the only positive effect was on syntactic complexity. Although current research does not suggest that AI is revolutionizing the development of writing ability, this is certainly an area to watch closely in the coming years (for an excellent state-of-the-art paper see Godwin-Jones, Reference Godwin-Jones2022).
Generative pre-trained transformers, such as OpenAI’s ChatGPT, have been fed most of the language content on the internet and can generate entire texts based on some initial content provided by the user. Teachers face at least two problems with such texts. First, essays written by ChatGPT (and not by a student) may be difficult to detect because they are unique, created on demand, and will therefore evade plagiarism-detecting programs. Second, ChatGPT can absorb negative cultural stereotypes represented on the internet. Abid, Farooqi, and Zou (Reference Abid, Farooqi and Zou2021) examined ChatGPT output when the word “Muslim” was included in prompts (as in “Two Muslims walked into a …”) and found that 66 percent of the text completions included acts of violence. However, when “Muslims” was replaced by “Christians” or “Buddhists” or “Sikhs” or “Jews” or “Atheists,” text completions containing violence fell dramatically (never higher than 15 percent). They found similar anti-Muslim bias when ChatGPT was fed images of people and detected women wearing the hijab.
This problem of bias extends to search engines, which by their nature sort and rank data to provide the most relevant search results – but “relevancy” is influenced by the user’s search history and by algorithms that promote paid content and the most visited sites (Noble, Reference Noble2018). Algorithms also operate in news aggregators, online merchant sites, and social media feeds, leading Jones (Reference Jones2019) to write that “What we read and how we read, and, more importantly, how we are conditioned to think of ourselves as readers (especially the degree of agency we are able to exercise over what and how we read), is increasing [sic] determined by algorithms that operate underneath of the surface of texts” (p. 1).
Machine translation (MT) presents yet another set of literacy issues by allowing students to compose an essay in their native language and then automatically translate it into the language they are studying. This has led some instructors or whole departments to ban the use of Google Translate and similar programs. But O’Neill (Reference O’Neill2019) reported that almost 90 percent of the Spanish and French students he surveyed used MT programs at least occasionally, even when prohibited by their teachers. Thus, trying to determine if students have used MT in their writing is not likely to be an effective strategy. Machine translation is readily available and attractive to students and can be of genuine benefit if it is used appropriately. Teachers can show students that while MT may do a decent job of translating certain phrases or sentences, it is not able to take a good paper written in L1 and turn it into a good paper in L2. They can point out that because translation algorithms rely on context to predict the most appropriate translation, MT will be the least accurate when only a single word is entered (the most common practice). They can show students how reference materials of all sorts – traditional bilingual and monolingual dictionaries, thesauri, and grammars as well as electronic references such as wordreference.com, Google Translate, Google search, language corpora, etc. – can be most effectively used, and especially how they can be used together, as cross-checks for one another and to get nuances right. A flurry of research on MT has appeared recently, and an excellent starting place is the special issue of L2 Journal edited by Vinall and Hellmich (Reference Vinall and Hellmich2022).
AI-based tools also raise important assessment questions for teachers. Should students be assessed on their ability to use such resources effectively or should they be assessed exclusively on their internalized knowledge, without recourse to outside resources? This question is compounded by the increasing multimodality of composition (see ‘Creativity’ above) and the development of dynamic forms of assessment that consider the effectiveness of learners’ semiotic choices is another current area of research (e.g. Hafner & Ho, Reference Hafner and Ho2020).
In sum, teachers have an important role to play in helping learners to make the best use of AI-based tools by explaining their strengths and limitations, by monitoring learners’ engagement with them, and by modeling their own use of resources.
Future Directions
Two areas that will no doubt be prioritized in future research and development are applications of AI and extended reality (AR and VR) environments. However, I will mention two other areas that I believe are ultimately more significant in learners’ holistic language/culture development: film and study abroad.
The importance of film, video, and visual literacy in today’s world cannot be underestimated, and yet pedagogical research on film is relatively sparse. While virtually any video text can serve language instruction, feature films, documentaries, and some TV series are particularly powerful because they generally have a strong narrative arc, characters that engage viewers on a personal and often deeply emotional level, and symbolic meanings conveyed through interactions of visual, linguistic, and auditory information. Film also presents learners with a wide variety of registers and sociolects absent from textbooks, enriching the breadth and depth of their exposure to authentic language use. Finally, film’s multilayered meanings afford lessons in critical literacy. Showing language learners how meanings are made, framed, and transformed through filmic devices is crucial to today’s learners because they face a mediascape that is potentially as exploitative as it is emancipatory.
Although it is not technological in nature, study abroad has nevertheless been fundamentally affected by communication technologies (Kinginger, Reference Kinginger2013). Many concerns are expressed about students defeating their cultural and linguistic immersion by overuse of social media, internet use, and easy communication with friends and family. But there are positive uses of technology in study abroad contexts. Guichon (Reference Guichon2019) discusses keeping digital diaries (text, images, sounds) with mobile apps to track learning experiences abroad, and points out that international students need to be familiar with the digital resources needed to deal with many social situations abroad (such as renting an apartment) – thus emphasizing the need for digital literacy as well as linguistic skills. Similarly, blogging about study abroad activities can encourage reflection on experience (Savicki & Price, Reference Savicki and Price2017), and language logs (e.g. Linguafolio through the Center for Applied Second Language Studies at the University of Oregon) can help students assess their progress in taking advantage of all their language learning opportunities while abroad (Goertler & Schenker, Reference Goertler and Schenker2021). Finally, technology can facilitate students becoming engaged in online communities in the host country prior to departure.
Technology is a topic worthy of teachers’ attention not because it is either a boon or a threat, but because it affects how language is used. We use language differently as we move from one medium and setting to another, and a central duty of any language teacher is to sensitize students to linguistic and cultural norms and to guide them in navigating them. Texts mediated by technologies new and old provide ideal source material for such explorations.
Introduction
It is widely accepted that technology has been reshaping the pedagogical landscape. Although technology has been commonly used in language classrooms, some teachers still prefer traditional methods of instruction or have limited use of educational technology. These teachers are labelled “resistance to change” (Howard & Mozejko, Reference Howard, Mozejko, Henderson and Romeo2015). Reasons why teachers resist using innovative technology involve complex variables. Consequently, preparing language teachers to integrate technology into their classrooms has been the biggest challenge in language pedagogy. This chapter begins by outlining the historical and current statement of teacher resistance to a computer-assisted language learning (CALL) approach. The next section discusses the factors affecting teachers’ decisions on technology adoptions based on literature. It then critically considers particularly the challenges in sociocultural contexts for CALL teacher education. In the following section, suggestions for educational institutions, teacher trainers, in-service and pre-service teachers are provided to help break the resistance. Finally, recommendations for future research and teaching practice are provided to guide the future direction of professional development.
Background
With the use of educational technology, it has been widely believed that the traditional roles of teachers will change dramatically, where classrooms will shift from teacher-centered to student-centered (Ertmer & Ottenbreit-Leftwich, Reference Ertmer and Ottenbreit-Leftwich2010; Son, Reference Son2018). In traditional language classrooms, teachers are regarded as “managers” and/or “instructors” who are all-powerful, all-knowing, taking control over students’ learning process (Wright, Reference Wright1987). Literature in CALL has suggested that language teachers can take advantage of technology to improve their teaching efficiency, but, at the same time, teachers need to take on more roles in CALL environments. To clarify what roles educators play in CALL environments, Hubbard and Levy (Reference Hubbard and Levy2006) propose a role-based framework. They outline two prominent roles for CALL education: (1) functional roles, which include practitioners who apply knowledge and skill, developers who create something new or revise and adapt existing work, researchers who discover new information or pursue evaluation, and trainers who build CALL knowledge and skills in others and (2) institutional roles, which include pre-service teachers, in-service teachers, CALL specialists who are more skilled and knowledgeable about CALL compared with the classroom teacher, and the CALL professional, who has “relatively deeper knowledge and more elaborated skill sets in multiple areas” (pp. 14–15).
Building on this role framework, literature keeps exploring teacher roles in dynamic CALL contexts, describing teacher roles by using metaphors, for instance, cheerleader, facilitator, creator, observer, designer, and so on. Romeo and Hubbard (Reference Romeo, Hubbard, Levy, Blin, Siskin and Takeuchi2010) stress the roles teachers play in providing students with technical, strategic, and pedagogical support (see also Stockwell & Hubbard, Reference Stockwell and Hubbard2013). Furthermore, Lai (Reference Lai2015) points out that teachers should provide students with affection support, capacity support, and behavior support when using technology for out-of-class language learning, especially selecting appropriate materials for the learners. It seems that language teachers are expected to be equipped with not only pedagogical but also technical, psychological, social, and research knowledge and skills to integrate technology successfully into language classrooms.
These new roles, or perhaps more accurately, the new challenges for teachers, can be seen as threats in some senses. Teachers who are satisfied with their current teaching perceive CALL methods as an additional option. Integrating new technology into the classroom means that the present lesson plans, teaching process, and assessment need to be reconsidered. However, teachers are busy and revising teaching methods to incorporate technology may add to their workload in terms of time and effort. In particular, teachers have to learn the new technology first to decide how and what to utilize in the classrooms and then teach their students to use it. This “double innovation” (Cleaver, Reference Cleaver2014) is regarded as the primary difficulty for in-service teachers in adopting new technology. Teachers who have established beliefs about how students learn and who had a skeptical view of the value of technology in the teaching/learning process in their early career are less likely to adopt or adapt technology (see also Ertmer et al., Reference Ertmer, Ottenbreit-Leftwich, Sadik, Sendurur and Sendurur2012; Kim et al., Reference Kim, Kim, Lee, Spector and DeMeester2013; Lai, Yeung, & Hu, Reference Lai, Yeung and Hu2016). For example, traditional teachers perceive their roles as being taken away in technology-enhanced contexts. There is a common belief that younger students know more about technology than teachers, and thus, “the teacher’s expertise in the subject area may also be threatened” (Lam & Lawrence, Reference Lam and Lawrence2002, p. 298). That is to say, teachers, the so-called digital immigrants (Prensky, Reference Prensky2001), regard their students as “digital natives” (Prensky, Reference Prensky2001) who are experts of technology. This “myth” (see also Stockwell & Reinders, Reference Stockwell and Reinders2019) may transfer teacher–student roles, as teachers become learners of technology and students may teach teachers how to operate a device or software. Moreover, students are able to access information through the internet, social media, and mobile devices beyond teachers’ control. In consequence, a teacher’s authority seems to be challenged by technology because of the threat to the traditional role as a giver of knowledge.
Primary Themes
Challenges in CALL Teacher Education
As mentioned in the previous section, teachers take on multiple roles in using technology for teaching practices. What specific knowledge and skills teachers should prepare and how the contents should be taught to train teachers have recently attracted research in CALL teacher education (Son, Reference Son2018). Regarding the competence necessary for language teachers to integrate technology into classrooms, Hampel and Stickler (Reference Hampel and Stickler2005) propose a pyramid of skills ranging from lower level skills (e.g. basic computer skills, competence in using specific software, dealing with constraints and affordances of the software) to higher level skills (e.g. creating a community, facilitating communication as well as creativity, choice, selection, and development of their own teaching style). In order to help teachers to develop these competences, Son (Reference Son2018) suggests providing different types of training (i.e. formal and informal learning) to teachers, according to their varying needs. However, previous studies measuring the effectiveness of teacher training have found a gap between teacher education and teaching practices. For example, Stockwell (Reference Stockwell2009) conducted a seminar with self-direction strategies to train teachers to educate themselves to acquire CALL knowledge. However, the results showed that most of the teachers preferred using existing resources rather than the new methods that had been introduced.
Insufficient training and professional development have been pointed out as the most problematic issues in CALL education, where institutions should take on a crucial role. Inadequate policy at institutional levels to facilitate teachers’ CALL usage has been criticized (Stockwell, Reference Stockwell2009). For example, many schools purchase iPads and ask teachers to use them for teaching without clear guidelines as to how iPada are expected to be used. Without a specific purpose to integrate iPads into the classroom, it is no surprise that teachers feel uncomfortable changing their existing teaching. The lack of professional CALL trainers who are familiar with both technology and language education to help language teachers with better use of technology has been problematic (Doshmanziari & Mostafavi, Reference Doshmanziari and Mostafavi2017). Although institutions have been putting effort into providing financial and technical support, something is missing. Researchers have suggested teacher learning communities (see Chapter 22, this volume) where teachers can help each other by sharing knowledge and providing feedback to peers. Yet, research has shown that the outcomes of teacher collaboration are not always positive as teachers’ needs, competence, and teaching experience vary. A one-size-fits-all learning group may not meet the variety of professional learning requirements. Moreover, the diversity in social and cultural contexts affects the teacher community’s effectiveness (de Jong, Meirink, & Admiraal, Reference de Jong, Meirink and Admiraal2019; Little, Reference Little2003).
Teachers’ Resistance to Technology Usage
The interest in CALL in teacher education and research into teacher education has been accelerating since the turn of the twenty-first century (Kessler & Hubbard, Reference Kessler, Hubbard, Chapelle and Sauro2017); nevertheless, there remain teachers who are unwilling to integrate new technology into their teaching practices, and the reasons are still unclear (Howard & Mozejko, Reference Howard, Mozejko, Henderson and Romeo2015; Stockwell & Reinders, Reference Stockwell and Reinders2019). Among the wide range of factors that hinder teacher’s adoption of CALL and adaptation to it, Ertmer (Reference Ertmer1999) categorizes two main barriers to change, which he calls first-order and second-order barriers. Accordingly, the first-order (extrinsic) barriers refer to the lack of resources, accessibility, equipment, time, training, and support provided in teaching environments. These extrinsic factors are incremental but can be easily observed and overcome with the help of institutions (e.g. providing funds, technical support, adequate training). However, the second-order (intrinsic) barriers are fundamental and personal, referring to teachers’ views of technology integration and affective factors, which are “typically rooted in teachers’ underlying beliefs about teaching and learning and may not be immediately apparent to others or even to the teachers themselves” (Ertmer, Reference Ertmer1999, p. 51). This indicates the difficulty of measuring and eliminating teachers’ intrinsic barriers. These barriers overwhelm the extrinsic barriers, as Ertmer (Reference Ertmer1999) notes that “even if every first-order barrier were removed, teachers would not automatically use technology to achieve the kind of meaningful outcomes advocated here” (p. 52). Many institutions provide teachers with sufficient digital devices (e.g. PCs and tablets), equipment, and network to resolve access constraints, along with technical training and support. However, some teachers are still reluctant to adopt the new methods due to their internal concerns. It seems that teachers’ resistance to educational technology involves various issues which have been rooted in the educational system.
Affordances and Perceived Barriers of Technology
Teachers’ reluctance to the pedagogical use of technology is usually transferred to learners. Although constrained by institutional policy, teachers generally have some freedom to select the technology that they regard as useful for classroom practices, aligning with their teaching beliefs. Although technology may help teachers in their teaching effectiveness, at the same time, it is not without constraints. Being aware of what technology can/cannot bring us may help teachers work through the obstacles to technology integration into teaching contexts.
To explain the potentials and limitations of technology, Gibson (Reference Gibson1979) coined the term “affordances,” which he described as “the complementarity of the animal and the environment” (p. 127) from an ecological perspective. Later on, Gaver (Reference Gaver, Robertson, Olson and Olson1991) used the term to explore how technology can be used depending on the potential of technology and humans’ perceptual information, suggesting that “affordances exist whether or not they are perceived, but it is because they are inherently about important properties that they need to be perceived” (p. 80). Similarly, Beatty (Reference Beatty2010) referred to affordances as “the visual clues that an object gives to its use as well as what it is capable of doing in terms of both intended and unintended functions” (p. 50) and further constructed the word “misaffordances” to emphasize something that “distract[s] from the object’s intended use” (p. 243). The notion of affordances underlines how technologies may be used appropriately or misused by the user; also, the affordances of a particular technology that teachers perceive may foster or hinder their usage (Stockwell, Reference Stockwell2012). In other words, the use of technology may enhance the effectiveness of language education. Still, it should be noted that there are some perceived barriers to the successful integration of technology in teaching practices.
Stockwell (Reference Stockwell2022) identified three main issues regarding general technology implementation in educational settings: physical, psycho-social, and pedagogical issues. While used to describe mobile-assisted language learning, these categories are equally applicable to CALL. Physical issues are characteristics of the devices, for example, screen size, input methods, storage capacity, processor speeds, battery life, compatibility, and network access. Psycho-social issues are related to the user’s views on the devices, their willingness or resistance to engage in activities with technology, attentional involvement, distraction, addictive effect, and, also, how the user perceives others’ views in the social context. Pedagogical issues related to task or activity designs for second language learning and teaching involve teaching approaches and learning methods. Thus, when integrating technology into language classes, it should be kept in mind that the affordances of technology can relate to the design and functions, which determine the usefulness teachers perceive. Based on individuals’ experiences, skills, and digital competences, different teachers have different attitudes toward educational technology. These attitudes influence their decisions to adopt new technology.
Contextual Factors
Given that individuals have different perceptions of technology, the factors affecting teachers’ adoption of educational technology for language learning and teaching purposes are complex, involving individual aspects to environmental aspects. Researchers suggest looking into the complexity of contextual aspects to give a complete picture. Emphasizing the vital role that context plays in shaping teachers’ and students’ perceptions of educational technology, Stockwell (Reference Stockwell2012) breaks down three levels of diversity in CALL: individual, institutional, and societal factors that affect how CALL can be implemented and used. These three levels are interrelated and develop the language educational setting. To put it another way, teachers and students interact with technology in the classroom setting. Outside the classroom, a group of teachers with common goals and interests may support each other’s ongoing professional development. These individuals (i.e. teachers and learners) are grouped into an institution in which they are necessarily affected by the institutional factors. For example, teachers and students have to follow institutional policies and guidelines to use a certain technology. Meanwhile, the institution itself is shaped by the society in which it is located, and in turn society is shaped by the individuals that comprise it.
Figure 21.1 illustrates the factors affecting teachers’ resistance to technology and how individual factors influence how they use technology for language teaching purposes, and how they affect each other (e.g. their students and peers) within a certain context. Nested in an educational system, it is difficult to say which factor is more significant than the others, since they are all interrelated. Constrained by institutional policies, teachers are usually restricted or authorized to decide what and how to teach in their classrooms. Furthermore, sociocultural factors play a crucial role in influencing how people perceive themselves and others who shape the institution, the teacher community, and the classroom culture. As has been found in Wang’s (Reference Wang2021) study, the language teachers in a Japanese university were unaware of whether the other teachers were using technology to teach in their classrooms. It was also found that there was a lack of sharing and discussion on teaching methods among the teachers, though they were in the same department. The strict hierarchical relationship may hamper the professional learning community, since the teachers were aware of the others with concerns about standing out from their senpai (juniors). In addition, being different from the others seems not to be encouraged in the context (see also Bartlett, Reference Bartlett2020). This outlines the challenge for institutions in facilitating teacher communities with trust and better interactions.

Figure 21.1 Contextual factors affecting teachers’ resistance to educational technology.
The CALL environments constructed by these contextual factors have recently attracted attention in CALL research. It is suggested that researchers should look deep into the CALL context, as a variety of components are connected, from cultural, social, political, and institutional elements, to teaching practices and students’ interaction (Blin, Reference Blin, Farr and Murray2016). This range of factors highlights that the CALL context in which language education occurs influences the interrelationships between learners, teachers, and technology; furthermore, individuals’ perceptions shaped by the context make heavy impacts on their adoption, selection, and implementation of technology.
Recommendations for Research and Practice
Recommendations for Research
Studies have shown that teachers’ attitudes toward educational technology are not always aligned with their actual usage (Turner et al., Reference Turner, Kitchenham, Brereton, Charters and Budgen2010; Wang, Reference Wang2021). Although teachers claim they are interested in technology, there is no guarantee that they will adopt new teaching methods that use it. As a result, if conducting research into teacher attitudes and use of technology, mixed-methods research is suggested with multiple data resources to avoid relying heavily on a single data resource that may cause bias. Thus, a single survey to investigate teachers’ perceptions of technology use is inadequate.
Moreover, as Wang’s (Reference Wang2021) study found, existing theories could not explain the whole picture of educational technology adoption, and so there is a need for specific CALL theories. Since the field of CALL stretches across technology and second language acquisition (SLA), each of the theories seems not to describe the phenomenon appropriately. For instance, the well-known technology acceptance model (TAM) (Davis, Reference Davis1989) and the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al., Reference Venkatesh, Morris, Davis and Davis2003) might be useful to understand certain variables that influence users’ behavioral intentions to use a specific technology. However, the models ignore that foreign language teachers and learners have specific needs and purposes for using technology (see Shachak, Kuziemsky, & Petersen, Reference Shachak, Kuziemsky and Petersen2019 for the criticism). The educational contexts might differ from normal settings as well. Users of educational technology, specifically teachers and students constrained by the classroom climate and institutional policies, are influenced by social and cultural contexts. That is, the reasons why teachers are reluctant to adopt new technology are shaped by contextual factors that affect how they think and behave. Therefore, when conducting research regarding educational technology adoption, researchers should be aware that what we can see might be the tip of the iceberg. Simply extracting variables from existing frameworks can limit the factors that we can explore and in fact cloud our view of other less salient features.
In this sense, the final implication for research is the need for ethnographical studies and longitudinal studies in the CALL field. Many existing theoretical frameworks are insufficient to explain teachers’ resistance; hence, observing teachers in their educational setting can help to understand the sociocultural situation to interpret teachers’ resistance in terms of their attitudes and behaviors. It is also suggested that longitudinal studies are worth conducting to investigate teachers’ willingness or resistance to change across a period of time. Since attitudes change over time, surveys taken at one point in time are unlikely to reveal the salient factors. By exploring what is ‘under the surface’ of external and internal barriers in a naturalistic setting, we can discover the difficulties that teachers are facing in educational technology integration.
Recommendations for Institutions
Understanding why teachers resist technology may help overcome the difficulties they have and then provide teachers and students with a better pedagogical environment. Despite the fact that external barriers can be observed and resolved, teachers may be reluctant to accept technical and pedagogical support due to internal factors. For instance, though the university has its technical support team, teachers may regard it as a group of non-experts on pedagogy and do not want them to interfere with their teaching (Wang, Reference Wang2021). This concern highlights the need for CALL specialists and professionals (Hubbard & Levy, Reference Hubbard and Levy2006) who specialize in technology and language teaching to enhance teaching effectiveness. Since language classes are so different from the regular lecture classes, language teachers’ need for support might differ from the “one-size-fits-all” support center.
More critically speaking, institutions need to be aware of teachers’ internal barriers. Previous negative experiences with technology may hamper teachers’ expectations for new technology. When institutions are trying to promote a specific technology or to replace the existing technology with a new one, it may be helpful to explain the reasons for implementation. Also, there may be complexities in a hierarchical social environment. How to facilitate teachers to work together without the threat of “hurting the harmony” appears to be a challenge for institutions. The characters of a specific sociocultural context seem unlikely to be changed. However, providing teachers with a comfortable workplace with no fear of “losing face” might help teachers to become more willing to develop their professional skills. Therefore, institutions may help organize consulting groups for teachers or provide resources for teachers’ professional development.
Additionally, institutions should also provide ongoing training for teachers to facilitate technology utilization in the workplace. Having not received training in foreign language education or technology use, the teachers tend to teach according to their classroom experiences or each in the ways they had been taught. Thus, a lack of knowledge in SLA appears to be a more urgent problem than technology adoption. The end goals for institutions should not merely be increasing the adoption of classroom technology on a larger scale but should be using technology to enhance a positive educational environment for faculty and students. If not, perhaps we should not have unreasonable expectations for technology. What has not been done in the real world might not miraculously appear in the virtual world. That is, if the teachers and students lack interactions in the classroom, they are unlikely to communicate enthusiastically through technology (e.g. a learning management system or a social networking site). In a similar vein, teacher-centered classrooms will not switch to student-centered environments simply by using technology.
The main conclusion that can be drawn in this section is that governments and institutions should be more aware of the purpose of promoting educational technology. It should not be a competition to compare who uses technology more in the classroom. After all, it is quality, not quantity, that counts – how and what educators use for teaching and the outcomes matter. How to encourage teachers to use educational technology as the administration expects might be an ongoing challenge. When establishing institutional policies regarding technology implementation, it might be helpful if both teachers and students take part in the decision-making process. Listening to teachers’ and students’ voices might also lead to an understanding of the actual conditions and difficulties in technology integration.
Recommendations for Pedagogy
The key to success for educational technology integration into foreign language classes may be teachers, who play a crucial role in educational settings, making most of the decisions for the students regarding what materials to use, and what approaches to teach (whether with or without technology). Only if teachers value CALL technology can it be successfully utilized. The potential of technology may be overestimated by governments and underestimated by teachers with a lack of professional knowledge in terms of CALL. It is not the fault of technology, but rather, the responsibility lies with humans. With a lack of understanding of technology and SLA, teachers may have limited technology use and rarely adopt new teaching methods. It is expected that experienced in-service teachers are satisfied with their current teaching, which might become the main obstacle to accepting new teaching methods. Their beliefs about teaching and learning seem to be established in the early stage of their career. Moreover, there is no urgent need for them to change their existing teaching practices. Since most of the teachers have not only teaching work but also administrative work and research activities, integrating educational technology into the classrooms might increase their workload, which means that they have to change the existing syllabus and adjust their current teaching styles. As a consequence, avoiding technology might be a safe way for experienced teachers. However, the more “new methods” teachers try, the more questions may arise about teaching and learning. Using technology for education may not reduce teachers’ workload, but it provides teachers with an opportunity to reflect on their existing teaching.
Stepping out of their comfort zone, teachers may find that their fears are unfounded. Students are not as competent or confident with their digital skills as we might expect. They still need teachers’ professional support. Students may be familiar with technology, but they do not know how to use it for language learning. We should keep in mind that the students of today may be teachers in the future, which means that they may teach someday in the same way as they have been taught. After all, teachers’ attitudes toward new methods affect students’ perceptions in some sense. If teachers are more willing to try different teaching methods, students may benefit from various learning strategies that meet their needs and interests. Also, teachers should provide students with not only language knowledge but also technical and psychological support. For example, teachers should give students more control over their learning and encourage them to learn with technology, which allows students to practice learning autonomy.
Last but not least, traditional teaching roles may be challenged by educational technology, but every teacher and teacher-to-be should all be prepared to use technology for teaching. Teachers should be aware that technology will not replace teachers, but teachers who do not use technology may be replaced. Moreover, in-service teachers should be open-minded to learn up-to-date SLA theories and trends, which can help integrate technology into teaching practices more effectively. Otherwise, technology becomes simply a tool to make existing teaching look “fancy,” without any real improvements to education.
Future Directions
Technology adoption is not the end goal of CALL education but a goal to assist language learning, as its name suggests. The “normalization” (Bax, Reference Bax2003) of CALL has been unprecedentedly accelerated due to the COVID-19 pandemic. The sudden closure of schools “forced” teachers to change their current teaching practices to adopt and adapt educational technology they were not familiar with. Although technology was once a major stumbling block to many in distance teaching and remote classrooms, it seems to have become less salient in the post-COVID era. New technologies are emerging constantly - most recently generative AI technologies - and with each new innovation comes the need for teachers to familiarize themselves with it. The innovation of educational technology requires not only teachers but also policy makers, faculty, and other stakeholders to prepare for the change in order to provide a better educational environment to support language learning with the use of technology.
Introduction
The twenty-first century has witnessed growing interest in preparing language teachers to use technology for teaching purposes (e.g. Hubbard & Levy, Reference Hubbard, Levy, Hubbard and Levy2006; Kessler, Reference Kessler2021; Kessler & Hubbard, Reference Kessler, Hubbard, Chapelle and Sauro2017; Son & Windeatt, Reference Son and Windeatt2017). Despite the importance of language teachers continually enhancing their knowledge and skills in computer-assisted language learning (CALL) throughout their entire careers (Son, Reference Son2018), a number of shortcomings associated with the current state of CALL teacher preparation have been identified, one of which, persistently mentioned in the literature, being the general lack of access to effective technology training courses (Hubbard, Reference Hubbard2008, Reference Hubbard and Liontas2018; Kessler, Reference Kessler, Hubbard and Levy2006). The reality is that due to barriers related to factors such as cost, time, and geographical location, not all language teachers are able to learn through such training courses, and some would even argue that teacher training courses in general do not necessarily prepare them for real-world teaching situations (e.g. Farrell, Reference Farrell2022). As a result, language teachers often have no choice but to educate themselves, relying on self-directed informal modes of learning (e.g. Ito, Reference Ito2024; Son, Reference Son2014). As an alternative approach to CALL teacher preparation, various scholars have recommended that they locate teacher communities, where they are able to connect with others to exchange resources and ideas, seek advice, and provide each other with support (Stockwell, Reference Stockwell2009), and in recent years, these have been easily found online (Hanson-Smith, Reference Hanson-Smith, Farr and Murray2016).
Online communities have existed for several decades but have gained in popularity since the launch of the first social networking site (SNS) in the late 1990s (boyd & Ellison, Reference boyd and Ellison2007), having a profound impact on people’s lives. It is not surprising, then, that teachers with a broad range of teaching experiences and backgrounds have looked at SNSs as a means of connecting with others to discuss the various problems that they face, and communities have appeared in platforms, such as Facebook and Twitter (now known as X). In the context of language teaching, there have been a limited number of studies on online language teacher communities (cf. Wesely, Reference Wesely2013), and even fewer studies have been set where technology is the primary focus of the discussions of the online language teacher community (cf. Ito, Reference Ito2023). This chapter therefore examines the potential value of online language teacher communities on SNSs in assisting language using technology for teaching purposes. It begins with a look at the evolution of online teacher communities, including the various types of online communities developed over time. The subsequent sections draw upon prior research to identify the possible benefits and challenges in teachers’ use of online teacher communities on SNSs and current trends in the field. The concluding section provides an overview of research directions, looking to the future of online teacher communities on SNSs as a key component in supporting language teachers.
Background
While online teacher communities have been a rather underexplored area of research (Lantz-Anderson, Lundin, & Selwyn, Reference Son2018; Maciá & García, Reference Maciá and García2016), they have been around for quite some time. The earlier forms of online communities can be dated back as early as the 1980s, when computer bulletin board systems (BBSs) were used among teachers. Accessible through the use of a home computer and dial-up modem (i.e. a device that enables data communication over a telephone line) (Cavazos, Reference Cavazos1992), BBSs were essentially a text-based online community in which users were able to leave messages and files for a group of individuals interested in a certain topic. During the earlier days, teachers often appeared to be making use of only the rudimentary functions, mainly using them to explore and become familiar with the platform (Chandler, Reference Chandler1988). As time progressed, they were starting to use them to participate in public discussions and to share and acquire teaching-related information (Chandler, Reference Chandler2000). Although BBSs were relatively broadly used, participants were not representative of the entire teaching profession, with many of them being computer literate and typically having a background in the sciences (Chandler, Reference Chandler2000).
In the ensuing years when the use of the internet became increasingly affordable and mainstream, more accessible forms of online communities for teachers appeared, commonly taking the form of email discussion lists (e.g. Riding, Reference Riding2001). The early 1990s saw the launch of various online communities for language teachers: The TESL-L Electronic Network project, founded by Anthea Tillyer in 1992, was developed as an email-based resource for teachers of English as a second language (ESL) or English as a foreign language (EFL) (see Warschauer, Reference Warschauer1995). Besides the main mailing list, users were able to subscribe to a number of sublists that focused on particular aspects of teaching, including those that discuss topics pertaining to CALL, email pen-pal exchanges, teaching job opportunities, and intercultural communication (Kovacs, Reference Kovacs and Okerson1994). Although the TESL-L mailing lists have been discontinued and the email messages shared among the teachers are no longer accessible, the existence of the CALL sublist illustrates that since the early 1990s, a subset of English language teachers were interested in exchanging CALL-related ideas, experiences, and resources with like-minded others.
Another notable example of an email discussion list-based online community intended for language teachers is the Foreign Language Teaching Forum (FLTeach), which, as of 2022, is still being used among language teachers around the world. Originally founded in 1994 by Jean LeLoup and Bob Ponterio, the online community started as an email discussion list, enabling language teachers to send each other messages to discuss matters related to teaching (LeLoup & Ponterio, Reference LeLoup and Ponterio2017). Although the primary focus of the online community was on foreign language teaching and not on technology per say, the archives of the messages shared in the discussion list show that language teachers were sharing information about various events, resources, and ideas pertinent to the topic of technology. Since the early days of the online community, email subscribers were receiving messages inviting them to participate in technology-related events, including conferences, courses, and workshops, asking for their advice on how to incorporate technology in their teaching, and sharing their views and experiences about using technology in language learning settings. Besides the active email discussion list, the FLTeach online community has recently expanded to SNSs, such as Facebook
In Hanson-Smith’s (Reference Hanson-Smith, Farr and Murray2016) book chapter, she introduces the Webheads in Action (WiA) as a prime example of an active global online community for teachers using technology. Since it was initially founded in 1998 by Vance Stevens, WiA members have been connecting with each other using various asynchronous and synchronous Web 2.0 and computer-mediated communication tools on platforms such as the now defunct platforms Tapped In and Yahoo! Group and other currently available SNSs such as LinkedIn and Facebook (see Stevens, Reference Stevens and Liontas2018). One key feature of the online community is that the WiA community members meet online on a regular basis to think about ways to adapt to emerging technological tools in their language learning classes and send each other messages about related issues, questions, and events (Yilmaz & Stevens, Reference Yilmaz and Stevens2012). As part of the WiA community, a splinter community, Learning2gether, was initiated in 2009, and similar to the WiA community, Learning2gether community members essentially connect with each other through different online activities, such as reading each other’s webpages, listening to the weekly webcasts offered by its members, participating in the weekly live meetings, and interacting with each other on Facebook (Stevens, Reference Stevens2020).
While the aforementioned examples only illustrate some of the ways in which language teachers have been utilizing online communities, what seems to be evident from these long-running online communities is that they have reached out to SNS platforms. With SNSs growing in popularity, it is not entirely unexpected that they have become one of the main places where language teachers turn to find other teachers teaching in similar contexts. However, much remains unknown about how these platforms are actually providing support for language teachers, especially those who are using technology for teaching purposes. Hence, the following sections aim to outline the current literature on teachers’ use of online communities on SNSs, examining studies conducted in both language teaching and non-language teaching contexts.
Primary Themes
In recent years, it has become increasingly common for teachers to participate in free and easily accessible online communities found on SNSs to connect with other teachers to discover resources, ask questions, and expand their professional learning networks. Since the early 2010s, a growing number of scholars have therefore been interested in understanding how teachers are actually capitalizing upon them for professional purposes. As relevant research conducted thus far has predominantly focused on capturing associated benefits and challenges in teachers’ use of online teacher communities on SNSs, the current section addresses a few of these key benefits and challenges.
Potential Benefits of Teachers’ Use of Online Teacher Communities
According to Lantz-Anderson, Lundin, and Selwyn (Reference Lantz-Andersson, Lundin and Selwyn2018), who conducted a systematic review of empirical studies on online teacher communities, one commonly identified benefit is that online communities provide teachers with a source of information about their teaching. For instance, Carpenter and Krutka (Reference Carpenter and Krutka2015) employed a questionnaire that received 755 responses from teachers who use Twitter professionally and found that they most frequently use the platform to share and acquire teaching-related resources (96 per cent). In their study, participants reported on a number of occasions when their actual lessons had been directly influenced by the ideas and resources accessed through Twitter. Specifically, twenty-six participants reported that they were able to learn about educational technologies, with several of them commenting that their involvement in Twitter contributed to an increased knowledge and use of them in their classes. Although the extent to which the acquired information affects teaching practice is not yet fully known, the study illustrates how some teachers value these platforms for teaching ideas and resources that they otherwise “may not come in contact with due to limitations of professional development money” (Carpenter & Krutka, Reference Carpenter and Krutka2015, p. 718).
Another frequently mentioned benefit is that online teacher communities provide teachers with a space where they can ask for help. For example, Yildirim (Reference Yildirim2019), who observed a Facebook community for high school mathematics teachers in Turkey, found that teachers were seeking assistance, mainly asking questions about mathematical problems. Over 90 percent of the mathematical problems shared in the online community were solved during the one-month long observation, and the interviews conducted with fourteen of the members suggest that the posts asking for help were responded to quickly and the feedback rarely contained any mistakes. Besides mathematical problems, teachers in the community were asking questions related to school curriculum, resources, techno-pedagogical information, and university entrance examinations to seek advice. Since online communities are used by a range of teachers of varying teaching backgrounds, experiences, and levels of expertise, they offer easy access to an array of thoughts, opinions, and perspectives.
In addition to providing professional support, prior research has also illustrated that online teacher communities are providing teachers with a source of emotional support. In Davis’ (Reference Davis2015) study, for instance, seventeen out of nineteen interviewees participating in the discussions occurring in an online teacher community on Twitter indicated in their interviews that they felt a sense of belonging through engaging with each other on the online platform. Some interviewees also reported that they perceived the online community as a source of encouragement when they were feeling discouraged as a teacher. Closely related to this, in multiple studies (e.g. Carpenter & Krutka, Reference Carpenter and Krutka2015; Carpenter et al., Reference Carpenter, Morrison, Craft, Lee and Michalene2020a; Ito, Reference Ito2023b; Wesely, Reference Wesely2013), teachers were evidently participating in online communities to combat professional isolation. Drawing from multiple data sources, including participant observation of a Twitter community for world language teachers and interviews with nine community members, Wesely (Reference Wesely2013) found that many community members struggled with professional isolation, several of whom were working as the only foreign language teacher in a geographically remote area, teaching a certain foreign language within a single school, or receiving limited support from their administrators and coworkers. The findings suggested that they were joining the observed online community for world language teachers on Twitter to ameliorate their feelings of professional loneliness and isolation.
Potential Challenges in Teachers’ Use of Online Teacher Communities
It is clear that online teacher communities bring value to teachers’ professional lives, but they are not without flaws. As outlined as one of the key benefits in the previous section, online teacher communities potentially offer teachers a place where they can explore ideas by searching through the rich source of shared information. However, since, as Carpenter and Harvey (Reference Carpenter and Harvey2019, p. 1) point out, “there’s no referee on social media,” the quality of the content shared in the online teacher communities is not always guaranteed. Although community administrators may delete posts that are obviously wrong or misleading (Staudt, St. Clair, & Martinez, Reference Staudt, Clair and Martinez2013), the shared content at times may not be credible or reliable. For example, Hertel and Wessman-Enzinger (Reference Hertel and Wessman-Enzinger2017) analyzed 176 mathematics teaching resources shared on Pinterest, finding that approximately one-third of the posts contained some type of mathematical error. Moreover, in some cases, teachers may find the posts shared in the online communities unpleasant. In Carpenter and Harvey’s (Reference Carpenter and Harvey2019) study, 43.8 percent of the teachers (n=21) who were utilizing online teacher communities on SNSs reported that they came across posts that were deemed unprofessional, with one teacher describing that she was frustrated by three individuals who were “dropping vulgar language when it wasn’t necessary” (p. 6). Furthermore, in the same study, a number of teachers expressed that they were frustrated at posts that were promoting commercial products or posts that were not related to teaching. This seems to illuminate a growing problem that online teacher communities are attracting unwanted “spam” messages (i.e. posts that are irrelevant or unsolicited) (Carpenter et al., Reference Carpenter, Staudt Willet, Koehler and Greenhalgh2020b), which may also have an impact on how they are perceived and used. In closed Facebook groups (e.g. Yildirim, Reference Yildirim2019) and online discussion boards hosted on Reddit (e.g. Staudt Willet & Carpenter, Reference Staudt Willet and Carpenter2020), administrators may be able to filter out obvious spam posts, but platforms such as Twitter are largely unmoderated and therefore dealing with such posts may be more difficult (Carpenter et al., Reference Carpenter, Staudt Willet, Koehler and Greenhalgh2020b).
Moreover, an additional challenge regarding teachers’ use of online teacher communities relates to the issue of time. Although online teacher communities enable teachers to interact with others in the comfort of their own homes, one point easily forgotten is that participating in online teacher communities still requires a considerable amount of time and effort on the teacher’s part. For example, in a study conducted by Duncan-Howell (Reference Duncan-Howell2010), it was found that some teachers in online teacher communities spent up to six hours a week reading through the online posts and engaging in discussions with community members. Despite spending a notable amount of time participating in the communities, teachers’ efforts are not always recognized and appreciated by peers or their employers. Administrators or fellow colleagues may not accept this unconventional form of supporting or learning as “actual work,” making it difficult for them to access the online communities during working hours at the workplace (Davis, Reference Davis2015). Another challenge related to this point is the blurring of boundaries between work and private time. While busy teachers may be initially attracted to online communities because they can use them in their spare time, one danger of this is that without realizing, they may end up spending long hours on these spaces and potentially feeling overburdened with all the additional work.
The difficulty in sustaining an active online community should also be noted as another potential challenge. A study by Rutherford (Reference Rutherford2010), which extensively examined a teacher community on Facebook for teachers teaching in Ontario for a one-year period between 2007 and 2008, revealed that only 384 members were participating in the discussions despite having nearly eight thousand community members. In a similar vein, in a study of eight years’ worth of posts shared in a large technology-focused teacher community on Facebook with over 20,000 members, Nelimarkka et al. (Reference Nelimarkka, Leinonen, Durall and Dean2021) found that only approximately 10 percent of the members were actively writing posts and comments. A large number of online community members are typically reported to be “lurkers” (i.e. members who mostly observe the community without actively participating in the discussions) (Goodyear, Parker, & Casey, Reference Goodyear, Parker and Casey2019), but if too many members lurk without actively posting or commenting, the community will likely fail and discontinued.
Current Research and Practice
Reviewing earlier works published between 2009 and 2015, Maciá and García’s (Reference Maciá and García2016) study was one of the first studies that provided a useful overview of research into informal online teacher communities on SNSs, though their review was not limited to only online communities on SNSs and included a few that were formed on other web-based platforms (e.g. Cloudworks, Moodle). In their review of twenty-three articles, they identified several trends based on the reviewed studies during the six-year period. Firstly, they found that the most common online environment used in the literature was Twitter (e.g. Davis, Reference Davis2015), but other SNS platforms, such as Facebook (e.g. Ranieri, Manca, & Fini, Reference Ranieri, Manca and Fini2012) and Ning (e.g. Coutinho & Lisbôa, Reference Coutinho and Lisbôa2013) were also commonly used. Another trend was that the reviewed studies were mostly set in North America and Europe, with the United States being by far the most widely studied context (e.g. Booth, Reference Booth2012). It was apparent that there was a general lack of studies set in Oceania (cf. Cranefield & Yoong, Reference Cranefield and Yoong2009) and Asia (cf. Tseng & Kuo, Reference Tseng and Kuo2014), and no studies were found to be set in Africa, South America, Central America, or the Middle East. Moreover, the focus of the studied online communities varied, dealing with a broad range of themes about general education (e.g. Duncan-Howell, Reference Duncan-Howell2010) and specific subjects, including language teaching (e.g. Wesely, Reference Wesely2013) and science teaching (e.g. Tsai, Reference Tsai2012).
It goes without saying that SNSs have continued to evolve since Maciá and García’s (Reference Maciá and García2016) study, and the literature on online teacher communities on SNSs have reflected this, although there is yet to be a wide-scale comprehensive research synthesis. Since the late 2010s, there have been additional studies examining how teachers are utilizing online teacher communities on existing platforms such as Twitter (e.g. Staudt Willet, Reference Staudt Willet2019) and Facebook (e.g. Kelly & Antonio, Reference Kelly and Antonio2016; Yildirim, Reference Yildirim2019), and on platforms that did not appear in Maciá and García’s (Reference Maciá and García2016) study such as Reddit (e.g. Staudt Willet & Carpenter, Reference Staudt Willet and Carpenter2020). Like Twitter and Facebook, Reddit has been available since the mid 2000s but often neglected by educational researchers. As more teachers are reaching out beyond the traditional SNSs, scholars are turning their attention toward capturing teachers’ use of online teacher communities on comparatively newer platforms such as Instagram (e.g. Carpenter et al., Reference Carpenter, Morrison, Craft, Lee and Michalene2020a), Pinterest (e.g. Schroeder, Curcio, & Lundgren, Reference Schroeder, Curcio and Lundgren2019), Whatsapp (e.g. Motteram, Dawson, & Al-Masri, Reference Motteram, Dawson and Al-Masri2020), and TikTok (e.g. Hartung et al., Reference Hartung, Hendry, Albury, Johnston and Welch2022). The literature is also expanding in terms of the set context of the online teacher communities, with more studies conducted in regions that previously received little attention. An example of this is the work by Motteram et al. (Reference Motteram, Dawson and Al-Masri2020), which explored the learning of Syrian language teachers located in the Zataari refugee camp in Jordan.
Undoubtedly, technology has changed the face of education, and given the rapid changes in the teaching and learning process brought by emerging technologies, one can logically expect that the discussion topics in the online teacher communities reflect these changes. Nelimarkka et al. (Reference Nelimarkka, Leinonen, Durall and Dean2021), for instance, conducted an in-depth investigation of a Finnish Facebook teacher community with a primary focus on pedagogical ICT use and found that online community members were utilizing it to tackle technical issues and to address their worries about implementing technology into their teaching. Moreover, even in online teacher communities in which the primary focus is not on technology, teachers are discussing topics related to technology, as illustrated in the study conducted by Yildirim (Reference Yildirim2019), who found that the online community members in the mathematics Facebook teacher community were sharing information and documents about “technological content knowledge” and asking for help about “techno-pedagogical information” (pp. 598–599). Furthermore, as a result of the onset of the COVID-19 pandemic in early 2020, there was a large influx of teachers taking part in online teacher communities to discuss matters related to online teaching. As teachers were suddenly forced to teach online without little or no support (MacIntyre, Gregersen, & Mercer, Reference MacIntyre, Gregersen and Mercer2020), it is not entirely unexpected that teachers were reaching out for support, and given that their interactions with peers or colleagues become predominantly online, seeking assistance from online communities was a natural progression. Teachers were not only able to learn how to teach online, but also to find emotional support and overcome feelings of professional isolation, problems that were exacerbated by the pandemic (Ito, Reference Ito2023a; Trust et al., Reference Trust, Carpenter, Krutka and Kimmons2020). Although it is hard to say at this point how teachers will make use of these online teacher communities in the post-pandemic era, it seems probable that they will continually play a prominent role in teachers’ professional lives, considering how education and technology are closely intertwined.
Recommendations for Research and Practice
With SNS platforms in a constant state of flux, investigating online teacher communities poses various problems. Not the least of these is that researchers face the challenge of staying relevant when their field is perpetually subjected to updates (Curwood & Biddolph, Reference Curwood, Biddolph, Knobel and Lankshear2017). As various new features are released, the way users interact with each other in these spaces changes. For instance, when the Facebook group feature was first launched in 2010, Facebook users mostly used the groups to write posts and comments to other members. Since then, although users primarily still use these groups to share posts and comments, numerous additional features are now available: They can attach URL links, images, and videos, broadcast live videos, and launch poll questions. More recently, in June 2022, Facebook introduced a new feature in which group administrators can create text-based chat channels and audio-based channels within a single group to promote more casual and deeper conversations among members who want to discuss a specific topic (Smith, Reference Smith2022). In this sense, researchers need to be aware of such updates and adapt their research designs accordingly to capture new forms of engagement on these rapidly changing platforms.
An important point researchers need to consider is the ethicality of investigating online communities. At present, as there are no official universal codes of ethics involving online research, within relevant literature, only a handful of scholars explicitly address research ethics in their studies (e.g. Ito, Reference Ito2023a; Kelly & Antonio, Reference Kelly and Antonio2016). Although online researchers are generally left to their own discretion and judgement, they need to be equally if not more careful than traditional researchers when dealing with ethical dilemmas. When using data collected from SNSs, online researchers are compelled to adhere to general principles of research ethics, considering key issues such as informed consent, anonymity, confidentiality, and risk of harm (Blyth, Reference Blyth2015; Woodfield & Iphofen, Reference Woodfield, Iphofen and Woodfield2018). Moreover, even if the study seems ethically viable, researchers are still obliged to follow the terms and conditions of the SNS platform in question, which can unexpectedly change without warning. It is common practice for researchers to use application programming interfaces (APIs) to extract data from online communities on SNSs (e.g. Nelimarkka et al., Reference Nelimarkka, Leinonen, Durall and Dean2021; Staudt Willet, Reference Staudt Willet2019), but each platform has differing policies regarding their APIs. Various platforms such as X grant access to researchers to publicly available online posts and comments if the sole use of the data is for academic research purposes, but this is not applicable to all platforms. Following the Facebook–Cambridge Analytica data scandal in 2018, Facebook restricted its API, making it difficult for researchers to extract data from the platform (van der Vlist et al., Reference van der Vlist, Helmond, Burkhardt and Seitz2022). Although the platform has since updated its terms and policies to allow certain researchers to use their API (Lohman, Reference Lohman2021), such changes can be problematic to researchers, who may suddenly lose access to their dataset.
Despite these constraints, researchers should not be afraid to conduct longitudinal studies to see how teachers make use of online teacher communities over time. To date, the majority of research on online teacher communities on SNSs has employed cross-sectional research designs, examining the reasons why teachers participate in online communities and what they do in these communities at a single point in time. Although teachers’ involvement in online teacher communities is not static (Carpenter, Krutka, & Trust, Reference Carpenter, Krutka and Trust2022), little is known about why some teachers continually participate in them and others discontinue (Xing & Gao, Reference Xing and Gao2018). It is therefore worth exploring the changes into teachers’ commitment in online communities over an extended period of time.
Future Directions
Given the dynamic nature of SNSs, it is rather difficult to accurately predict what will happen to online teacher communities in the future, but based on what we have witnessed so far, several assumptions can be made: As repeatedly emphasized throughout the chapter, the landscape of SNSs has changed over the years, with newer platforms appearing one after another. Following the general trends of SNSs, teachers have increasingly been reaching out to newer platforms, such as Instagram and TikTok. It is therefore not too much of a leap to assume that teachers will continue to cultivate emerging platforms to fit their professional needs and contexts. Having said that, the fact that well-established platforms such as Facebook and X, have remained popular among teachers throughout the years may suggest that they will be here for the long haul. As some teachers are reported to be currently making use of online teacher communities across multiple platforms at the same time (e.g. Carpenter & Harvey, Reference Carpenter and Harvey2019), rather than one platform replacing another, it may be that they will be used in a complementary way, enabling teachers to leverage the unique affordances that each platform has to offer.
Second, as previously mentioned, it is still early to say how language teachers will continue to use online teacher communities on SNSs after the COVID-19 pandemic ends completely, but an anticipated outcome of the increased reliance of them during the pandemic is the lowering of affective barriers toward using SNSs, which could potentially lead to an increased use of them for teaching purposes. As prior research has revealed that technology integration is affected by teachers’ own personal experiences of using technology (e.g. Park & Son, Reference Park and Son2020), particularly when it comes to using social networking tools in classes (Kusuma, Reference Kusuma2022). If they are making use of SNSs themselves, it is expected that they will be able to see for themselves the ways in which students can benefit from the incorporation of them (see Lomika & Lord, Reference Lomika, Lord, Farr and Murray2016) and be more open to the idea of using them to enhance their students’ learning.
Finally, another potential outcome brought by the pandemic is that more teachers will be aware of the power that online communities hold, especially in times of need. It was clear that the pandemic further aggravated the ongoing issue of professional isolation, as many teachers struggled to learn how to navigate their online classes with little or no support from their coworkers or administrators (Knight, Reference Knight2020). Although schools and universities around the world have restarted in-person classes, many teachers are still required to use technology in their classes, and as a result, they will continue to face pressure to learn how to use technology for teaching purposes without receiving much support. To make matters worse, school administrators and other relevant stakeholders may now hold a false impression that teachers are fully capable of using technology because of gained experience from teaching online during the pandemic and overlook the urgency of investing in teachers’ professional learning. Without proper guidance or assistance, however, it is difficult for them to enhance their knowledge and skills in technology, so as a realistic and viable option, the first place where teachers look to receive support from here onward may be in online teacher communities on SNSs.
In conclusion, online teacher communities on SNSs show great promise in supporting language teachers, especially those who have limited funds and resources. Although they will not fix all the problems that language teachers will encounter when using technology for teaching purposes, they will unarguably continue to offer various professional benefits to language teachers. Exploring this field further will likely contribute toward building a stronger language teacher preparation infrastructure.
Introduction
The importance of integrating technologies and innovations in education is undisputed today, supported by the fact that new internet-connected devices and digital technologies have surrounded the life and learning processes of new generations of learners (González-Lloret & Ortega, Reference González-Lloret and Ortega2014). The new generation, also known as Generation Z, the iGeneration, or the Net Generation are those learners born in the early 2000s or later who consider the internet, gadgets, and technologies a crucial part of their daily existence (González-Lloret, Reference González-Lloret, Chapelle and Sauro2017). Naturally, the technologization process has also affected most areas of education given that a variety of computer and information technologies have made their way into pedagogical practices and curricula in various ways (Marek & Wu, Reference Marek, Wu and Daniela2020). The powerful technical features of digital technologies enable new forms of learning that can serve contemporary pedagogies well in several types of educational contexts since they change the nature of the physical relations between teachers, learners, and the objects of learning (Churchill et al., Reference Churchill, Lu and Chiu2014). And, language education is no exception to this movement (Zhang & Zou, Reference Zhang and Zou2022). With the pedagogical affordances of digital technologies for second language (L2) production and interaction (Sauro, Reference Sauro2011) being appreciated, a stronger link between technology integration and a learning-theoretical framework has become vital to guide research, practice, and policy. Rather than focusing on technology on its own, a fundamental project is to lead the integration of emerging technologies into education through an appropriate learning design framework (Lim & Churchill, Reference Lim and Churchill2016).
Task-based language teaching (TBLT) as a pedagogical framework for the theory and teaching of second or foreign languages has been widely adopted by educators around the world. There is extensive agreement that L2 learning benefits from teaching with, learning with, and assessing with tasks – not isolated grammar forms (Baralt & Gómez, Reference Baralt and Gómez2017). It has been argued that TBLT constitutes an ideal methodology for informing and augmenting the potential of technological innovations for language learning (González-Lloret, Reference González-Lloret, Chapelle and Sauro2017; González-Lloret & Ortega, Reference González-Lloret and Ortega2014). This is because technologies such as Web 2.0 tools (e.g. blogs, wikis, gaming environments, chats, virtual worlds, etc.) present unique environments for learners to “engage in ‘doing things’ through technology-mediated transformation and creation processes, rather than just reading about language and culture in textbooks or hearing about them from teachers” (González-Lloret & Ortega, Reference González-Lloret and Ortega2014, p. 3). In lay terms, new technologies involve learners in active learning and meaning-oriented tasks, making them great candidates for their integration in TBLT as a well-theorized pedagogical approach (Van den Branden, Bygate, & Norris, Reference Van den Branden, Bygate and Norris2009). The mutually beneficial connection between technology and TBLT is highlighted by Doughty and Long (Reference Doughty and Long2003), who suggest that technology provides a natural and authentic venue for the realization of the methodological principles of TBLT, and TBLT presents a rationale and pedagogical framework for the selection and employment of technology. However, as with any young area of inquiry, there are still dozens of issues regarding the intersection of technology and TBLT such as unanswered questions, emerging areas, and future directions that need to be discussed. Against this backdrop, it is the intention of this chapter to offer a conceptualization of technology-mediated TBLT and discuss how principles of TBLT and the transformative uses of technology can be fully integrated into each other and put to the service of progress in language education. I will then provide a critical review of the rapidly increasing collection of studies that examine the elective affinities of technology and tasks. Lastly, future research and practice in the implementation of technology-enhanced TBLT will be delineated.
Background
Task-based language teaching has attracted the attention of scholars in the domain of second language acquisition (SLA) for several decades. It is centered around the use of communicative tasks as the basis of the curriculum and the pedagogical practice in which meaning is prioritized (Ellis et al., Reference Ellis, Skehan, Li, Shintani and Lambert2020). It is an “embryonic theory of language teaching, not a theory of SLA,” encompassing all the features that make language teaching effective (Doughty & Long, Reference Doughty and Long2003, p. 51). Hence, numerous principles underlying SLA are entailed while adopting the TBLT approach. Additionally, TBLT underscores learning by doing, stemming from the concept of “integration education,” which emphasizes that newly developed knowledge is better integrated into long-term memory and more readily retrieved when associated with real-life events and activities (Doughty & Long, Reference Doughty and Long2003, p. 58). Focusing on SLA theories per se, TBLT is rooted in use-oriented theories of SLA, namely, interaction and sociocultural approaches (Ortega, Reference Ortega, Mackey and Polio2009). According to the interaction approach, learners are provided with authentic language input and negative feedback during the performance of meaning-oriented tasks, which push them to revise their language outputs and focus on the structural properties during the interaction (Long, Reference Long, Ritchie and Bhatia1996). Thus, from the theoretical perspective of cognitive interactionism, ideal linguistic contexts and conditions are developed through TBLT for negotiated interaction and are therefore conducive to language acquisition (Lai & Li, Reference Lai and Li2011). Sociocultural theory (SCT) and the related framework of activity theory (Lantolf & Thorne, Reference Lantolf and Thorne2006) are also particularly relevant in the context of current conceptualizations of TBLT. According to SCT, L2 learners develop new strategies and knowledge as they take part in the interactive activities and internalize the effects of working together. Consequently, learning is considered to occur through interaction, negotiation, and collaboration, with the main aim of instruction being the creation of an environment serving as a community in which learners are likely to employ what they are introduced to through activities (Daniel, Hunter Quartz, & Oakes, Reference Daniel, Hunter Quartz and Oakes2019).
The first model of TBLT was proposed by Prabhu (Reference Prabhu1987), which includes three stages: pre-task (a preparatory activity), task cycle (meaning-focused activity or interactive process action), and post-task (activity attending to form). Further developing this model, Willis (Reference Willis1996) put forward an instructional approach based on the use of a task with three main stages: pre-task (introduction to the topic and task, preparation), task cycle (task performance, planning, and report), and language focus (language analysis, practice). Clearly, the task cycles lend themselves readily to the utilization of technology to facilitate and improve pedagogical practice. For example, a computer classroom with online software would facilitate teachers’ recording all their learners’ speech simultaneously and allow learners to play back their own speech in the post-task stage before submitting the final audio or video files to the teacher. Therefore, the great scope of technology in supporting the development of task-based lessons deserves closer attention, which is the aim of the remainder of this chapter.
Primary Themes
In the early years of technology-mediated TBLT, tasks mirrored those that appeared in SLA and computer‐assisted language learning (CALL) in general. Initially, generic types of task such as jigsaw (a collaborative activity where each group member learns and shares a part of the content to form a complete understanding), dictogloss (a listening and reconstruction activity where learners listen to a passage, then reconstruct it in pairs or groups), information‐gap (an activity where learners exchange information to complete a task), close‐ended decision‐making (a task where learners discuss and agree on a solution or course of action based on given options), and open-ended discussion tasks were proposed as ideal candidates for learning in computer-mediated contexts (Pica, Kang, & Sauro, Reference Pica, Kang and Sauro2006). Obviously, however, a fruitful integration of technology and TBLT demands a well-defined approach to technology‐mediated tasks in order to avoid translating exercises and activities from face‐to‐face (FTF) into technology-enhanced contexts (González‐Lloret & Ortega, Reference González‐Lloret and Nielson2014). In a task framework proposed by Chapelle (Reference Chapelle2001), technology-assisted tasks are presumed to be meaning-based, authentic, practical, and commensurate to the learners’ proficiency and learning purposes. Chapelle (Reference Chapelle2001) emphasizes that CALL tasks should also embed opportunities for attracting learners’ attention to linguistic forms and bring about learning skills beyond L2 development such as an enhanced interest in L2 culture, technology use outside class, electronic literacy, and increased ability to handle multimodal communication (Ellis et al., Reference Ellis, Skehan, Li, Shintani and Lambert2020). Adopting a similar definition and underscoring the centrality of task definition to the investigation of technology‐mediated TBLT, González‐Lloret and Ortega (Reference González‐Lloret and Nielson2014) also take note of two other conditions essential for the integration of technology and tasks: an awareness of the non‐neutrality of technology‐mediated tasks, and a clear formulation of the technology‐mediated tasks within a TBLT curriculum.
The adoption of technology in education is far from being neutral. Technology creates new types of real-world target tasks in a curriculum. For example, when “writing a job application” letter is done via email, there is a need to understand the pragmatics of such a medium for that task, distinct from a paper letter or chat. Web writing via wikis, blogs, or fandoms; massively multiplayer online games (MMOGs); and massive open online courses (MOOCs) are other examples of the target tasks created by technology. MOOCs are open, large-scale web-based courses designed and delivered by accredited higher education institutions and organizations in which anyone with a smart device and internet connection can participate (Deng, Benckendorff, & Gannaway, Reference Deng, Benckendorff and Gannaway2019). The appearance of new technological experiences has brought about an array of new types of activities and distinctive learning needs (Jenkins et al., Reference Jenkins, Purushotma, Weigel, Clinton and Robison2009). The clear conclusion that can be reached is that when technology mediates the performance of tasks, it acts not just as a vehicle of teaching; rather, it imposes new demands and actions which naturally become target tasks – and as a result part of the curriculum (González‐Lloret & Ortega, Reference González‐Lloret and Nielson2014).
The second condition laid out by González‐Lloret and Ortega (Reference González‐Lloret and Nielson2014) concerns the systematic incorporation of tasks and technologies in curricular contexts. In TBLT, the task is the main pedagogical unit that directs needs analysis, task selection and sequencing, materials and instruction development, assessment, and program evaluation (Abdi Tabari, Khezrlou, & Tian, Reference Abdi Tabari, Khezrlou and Tian2024a, 2024b; Khezrlou, Reference Khezrlou2023). Hence, González‐Lloret and Ortega (Reference González‐Lloret and Nielson2014) rightly argue that technologies should become “part of the full programmatic cycle that shapes a TBLT curriculum, from needs analysis all the way to explicit learning outcomes for assessment and evaluation” (p. 7). With respect to needs analysis, not only the language skills required for the completion of a task in question or the target language to be acquired as a result of a particular task experience, but also the affordances of technological tools crucial for task enactment along with the learners’ and teachers’ digital literacies, availability of technology, and needed technological support to complete the task should be taken into account. Similarly, the design and sequencing of pedagogic tasks need to encompass several issues including the features of the technology and the task as well as learners’ familiarity with both (Khezrlou, Reference Khezrlou2019). Indeed, the design of pedagogic tasks should benefit from the potential of a specific technology to achieve learning processes and outcomes not feasible in the classroom with paper and pencil: The use of multimedia for rich, authentic input and engagement in learning enable learners to use the language and the technology in productive and innovative ways (Khezrlou, Ellis, & Sadeghi, Reference Khezrlou, Ellis and Sadeghi2017). There are other effective types of Web 2.0 technologies such as synthetic environments, simulations, and gaming that provide a real life, authentic environment (for a recent review, see Nikolenko, Reference Nikolenko2021). All these technologies have sparked much interest in research relating to their capacity to immerse learners in virtual worlds where they need to use the language to navigate, interact, and complete tasks. Second language learners’ involvement in a simulation (Michelson, Reference Michelson2019), immersion in a virtual world (Blyth, Reference Blyth2018; Wang et al., Reference Wang, Lan, Tseng, Lin and Gupta2020), or participation in multi-user games requiring L2 production (Hung et al., Reference Hung, Yang, Hwang, Chu and Wang2018) are in excellent correspondence with the learning by doing principle of TBLT.
The next key step after needs analysis and task development is task sequencing. Given that the use of technology is a type of task in itself, curriculum developers need to consider how to select and sequence tasks to develop a syllabus as a primary step prior to incorporating the technology-enhanced tasks done through them (González‐Lloret & Ortega, Reference González‐Lloret and Nielson2014). Task sequencing is usually carried out by applying what is perhaps the best-known model for task complexity: Robinson’s cognition hypothesis (Reference Robinson and Bygate2015). Robinson (Reference Robinson and Bygate2015) posits that increasing task complexity in terms of resource‐directing dimensions (number of elements, here and now, reasoning demands) is expected to augment complexity, accuracy, fluency of learners’ productions as well as the amount of negotiation. Nevertheless, sequencing tasks in technology contexts based on Robinson’s model is far from simple. For example, inserting glosses in a text or adding a link to a dictionary may decrease the complexity of a reading task; however, it will also add new elements of digital literacy and web navigation skills. For this reason, as González‐Lloret and Ortega (Reference González‐Lloret and Nielson2014) highlight, we need scales to evaluate the complexity of different technologies as well as more research on how each technology influences a task and how a task can change technologies.
As the last component of a TBLT curriculum, assessment also assumes a significant role when technology is integrated with tasks. González‐Lloret and Ortega (Reference González‐Lloret and Nielson2014) encourage the use of technology-mediated performance-based assessment as an effective and reasonable way of evaluating learners. New technology-mediated performance-based interactive assessments, which provide opportunities for social negotiations and need pragmatic use in particular contexts, have been demonstrated to best achieve the aims of technology-mediated L2 assessment (Ockey & Neiriz, Reference Ockey and Neiriz2021). However, since task-based language assessment in general and task-based assessment in technology-supported environments in particular have not been the subject of much research, there is a need to develop, validate, and evaluate such assessment, taking into account the role of technology.
Current Research and Practice
Since the 1990s, there has been an increasing interest in technology-mediated TBLT as reflected in the growing literature on the subject (e.g. González-Lloret & Ortega, Reference González-Lloret and Ortega2014; Thomas & Reinders, Reference Thomas and Reinders2015; Ziegler, Reference Ziegler2016) and in the appearance of online TBLT courses (e.g. Duran & Ramaut, Reference Duran, Ramaut and Van den Branden2006). However, the body of relevant empirical research on technologically driven TBLT is still young and there is scope for greater progress to be made. In this section, I present an overview of research undertaken on: (a) the role of technology in fostering the interactive potential of generic, FTF tasks; (b) the impact of task, mediated by technology, on L2 interaction; and (c) the effectiveness of Web 2.0 technology-enhanced tasks.
Task-Oriented Interactions in Computer-Mediated and FTF Contexts
The first batch of studies on technology-mediated TBLT aims at comparing the interactions in computer-mediated and FTF environments. Descriptive and empirical research has provided compelling evidence that interactional features which have been found to foster L2 development in FTF contexts, such as negotiation for meaning and modified output, can and do occur in technology-mediated task-based environments (Chong & Reinders, Reference Chong and Reinders2020; Iwasaki & Oliver, Reference Iwasaki and Oliver2003; Lee, Hampel, & Kukulska-Hulme, Reference Lee, Hampel and Kukulska-Hulme2019; Monteiro, Reference Monteiro2014; Ziegler & Phung, Reference Ziegler and Phung2019). For example, tasks commonly found in FTF TBLT research such as decision-making and information-gap tasks have been reported to be fruitful in eliciting learner interaction and negotiation in a computer-mediated communication (CMC) context (Pellettieri, Reference Pellettieri1999). Research has also explored the preference for self-repair with respect to negotiation of meaning in online CMC (Jepson, Reference Jepson2005; Lee, Reference Lee2001; Smith, Reference Smith2009; Yüksel & İnan, Reference Yüksel and İnan2014). Results indicate that meaning negotiation in task-based text chat differs from that in FTF interactions (Kern, Reference Kern1995; Pellettieri, Reference Pellettieri, Warschauer and Kern2000; van der Zwaard & Bannink, Reference van der Zwaard and Bannink2016; Yüksel & İnan, Reference Yüksel and İnan2014). It is maintained that meaning negotiation occurs more in CMC than in FTF interactions since it (1) enables learners to negotiate meaning at their own pace (Castañeda, Reference Castañeda2021; Fernández-García & Martínez-Arbelaiz, Reference Fernández-García and Martínez-Arbelaiz2002); (2) enhances noticing of L2 forms and meaning (Canals, Reference Canals2021; Pellettieri, Reference Pellettieri, Warschauer and Kern2000; Shekary & Tahririan, Reference Shekary and Tahririan2006); (3) advances learning of lexical items (Fernández-García & Martínez-Arbelaiz, Reference Fernández-García and Martínez-Arbelaiz2002; Smith, Reference Smith2004, Reference Smith2009); (4) promotes grammatical competence (Pellettieri, Reference Pellettieri, Warschauer and Kern2000); (5) enhances motivation and positive attitudes (Canals, Reference Canals2020; Taghizadeh & Ejtehadi, Reference Taghizadeh and Ejtehadi2021); and lastly (6) improves oral production skills (Canals, Reference Canals2020).
Although the majority of research in this realm has lent credence to the affordances of CMC in terms of enhancing negotiation of meaning and L2 development, it should be noted that there are other studies that show negotiation in CMC is not as abundant as in FTF interactions (e.g. Jepson, Reference Jepson2005; Moradi & Farvardin, Reference Moradi and Farvardin2020; Ribeiro & Eslami, Reference Ribeiro and Eslami2022; van der Zwaard & Bannink, Reference van der Zwaard and Bannink2016). The variations in the results of previous research clearly point to important differences, such as variations in triggers and patterns in the different contexts. Thus, more research is required to deepen our understanding of how patterns of interaction may alter across individual technologies. Research has indicated that written text-chat is characterized by distinctive patterns of negotiation and turn-taking (Smith, Reference Smith2003), underlying the necessity of research into whether learners taking part in mobile-assisted or multiuser gaming or immersive environments negotiate meaning in unique ways. Future research is encouraged to consider how types of technology affect the quantity and quality of interaction during task-based learning and teaching. On the whole, however, studies in this area suggest that negotiation and its advantages seem to be accessible to learners in computer-mediated task-based interactions, attesting the effectiveness of technology in task-based contexts.
Design and Use of Tasks in Technology-Mediated Contexts
Although the studies reviewed in the previous section indicate the positive effects of text chat in engaging learners in interaction, it is not simply the technology, but the design and use of appropriate tasks through the medium of technology that is likely to promote learning opportunities (Adams & Nik, Reference Adams, Nik, González‐Lloret and Ortega2014). Earlier, Ortega (Reference Ortega1997) also stressed the significance of investigating tasks, their conditions, and processes in order to reach firm conclusions about the role of CMC in L2 learning. Moreover, given that CMC unites features of both spoken and written language with aspects of the digital context (Herring, Reference Herring1996), it is vital to explore CMC tasks as activities in their own right instead of considering that tasks effective at eliciting quality L2 interaction in FTF exchanges will also do so in CMC (González-Lloret, Reference González-Lloret, Chapelle and Sauro2017).
This relatively new avenue of research led to a small number of studies exploring which task types (in the traditional FTF definition), with which features (e.g. level of complexity) and under which conditions (e.g. through which media) could be more effective in inducing interactions and thereby bring about L2 development (Blake, Reference Blake2000; Keller‐Lally, Reference Keller‐Lally2006; Mohamadi Zenouzagh, Reference Mohamadi Zenouzagh2022; Smith, Reference Smith2003; Yilmaz & Granena, Reference Yilmaz and Granena2010). However, literature offers contradictory findings, with some studies (e.g. Blake, Reference Blake2000) reporting the superiority of jigsaw tasks over information‐gap and decision‐making tasks in generating more negotiation, others indicating the reverse, that is decision‐making tasks, enriched with unfamiliar lexical items, stimulating more negotiation than jigsaw tasks (Smith, Reference Smith2003), or showing the superior effectiveness of dictogloss over the jigsaw in terms of noticing (Yilmaz & Granena, Reference Yilmaz and Granena2010), and yet others (Keller‐Lally, Reference Keller‐Lally2006) finding no impact for task type (jigsaw, decision‐making, or opinion exchange). These findings hint that task design may play a significant role in L2 learning and use in CMC.
As for task characteristics, research in TBLT has focused on whether manipulating the cognitive demands of tasks influences learners’ L2 productions. A few early studies (Adams & Nik Reference Adams, Nik, González‐Lloret and Ortega2014; Baralt, Reference Baralt2013; Nik et al., Reference Nik, Adams and Newton2012) investigated the validity of FTF task complexity theories, specifically Robinson’s (Reference Robinson and Bygate2015) cognition hypothesis. Nevertheless, Robinson’s predictions have not necessarily transferred to task performances in technology-enhanced contexts. Adams and Nik (Reference Adams, Nik, González‐Lloret and Ortega2014) attribute this to the distinctive nature of the text-based CMC medium, where there are more opportunities for processing output than in the FTF interaction. Furthermore, in contrast to speech production, there is a delay between production and transmission of message in CMC which is likely to impact the cognitive burden imposed by the production (Adams & Nik, Reference Adams, Nik, González‐Lloret and Ortega2014). This clarification receives support from Baralt’s (Reference Baralt2013) research, which compared the reasoning demands of an FTF versus a CMC task. Her findings confirmed the validity of this prediction in the FTF context yet not in the CMC environment, where more learning occurred in the less complex conditions. Thus far, the existing – albeit very limited – research suggests that the unique features of CMC mediate the complexity of tasks as is reported in FTF task-based research, underscoring the necessity of examining tasks developed for and embedded in the technology.
Tasks with Web 2.0 Technologies
Web 2.0 technologies represent a class of technologies that allow the development and exchange of user-generated content. Three-dimensional (3D) multi-user virtual environments (MUVEs), such as World of Warcraft, Active Worlds, and SimCity, have gained popularity among the Net Generation because of their affordances in terms of simulation, immersion, creativity, and collaboration (Chen, Reference Chen2020). Second Life has also attracted the attention of L2 learners wanting to discover this lively 3D space and interact with other users in world languages. Admittedly, the learning-by-doing principle of TBLT is well suited to the immersive nature of Second Life, which boosts reality and enriches the learner’s learning experience (Chen, Reference Chen2020). In addition, it enhances the use of language for communicative, meaningful, and experiential purposes (Chun, Kern, & Smith, Reference Chun, Kern and Smith2016).
Also prevalent among this group of technologies are blogs (e.g. Reinhardt, Reference Reinhardt2019) and wikis (e.g. Khezrlou, Reference Khezrlou2022; Reinhardt, Reference Reinhardt2019). All these technologies share the common objective of forming a bridge between inside and outside classroom tasks, which lead to authenticity in the classroom, present a genuine context for learners, offer a real audience for their writing, and join them with other speakers with the same interest, all crucial tenets of TBLT (González-Lloret, Reference González-Lloret, Chapelle and Sauro2017). Research has provided some evidence that blogs may function as spaces for culture learning and intercultural exchange, as well as for reflection, self-presentation, and the development and articulation of knowledge on topics in which learners have some say (for a recent review see Reinhardt, Reference Reinhardt2019). Research has also reported that tasks which impose specific topics, demand form-focused peer review, limit audiences, expand audiences, or are closed in nature may restrict learner autonomy and not advocate the learning potentials of blogs, even though the tasks might match with curricular purposes and learner expectations (e.g. Chen, Shih, & Liu, Reference Chen, Shih and Liu2015). As with blogs, wikis are effective learning tools as long as needs and tasks are truly enhanced by wiki structures and an awareness of ways and reasons behind using wikis is addressed through contextualized and explicit instruction (see Reinhardt, Reference Reinhardt2019). Building awareness might entail “exploring with students the concepts of collective intelligence and crowdsourced wisdom, for example in social media like Reddit or Digg – two popular tools” (Reinhardt, Reference Reinhardt2019, p. 17), the use of which in task-based courses has yet to be explored fully.
Recommendations for Research and Practice
Research on technology-mediated TBLT has been robustly developing during the past decade, yet there remains a significant research gap, as has already been identified in this chapter. Due to the growing use of technologies, research on technology-driven TBLT is expected to expand in the future. For example, the technology-enhanced task-based courses will capture more teachers’ and researchers’ attention in wider learning contexts. Both the research and pedagogy have mainly focused on tertiary education settings. We need more research to explore how technology-mediated task performances in elementary and secondary school settings affect L2 development and provide teachers, principals, and authorities with the knowledge on how best to adopt and implement digital tools in their contexts. Implementing technology-enhanced tasks in broader contexts will definitely deepen our understanding of how the technology can afford learner engagement and language development.
Future research that examines the impact of technologies on L2 task design and performance under different conditions is imperative. Regarding the former, we are still a long way off knowing which aspects of technology-mediated task complexity distinguish it from FTF task complexity. Also, it is still not known how the technology impacts the complexity of a task. For example, the availability of an interactive calendar on the computer or mobile phone is likely to decrease the task complexity of booking a hotel on the internet, yet it may be more cognitively demanding since learners would also need to work with different types of information (multimedia literacy) to manipulate a calendar to choose dates, use an interactive map, and view photos. Another important, yet unresolved issue in technology-based task design is the principle required for task sequencing. For example, is writing in a wiki more or less complex that writing in a blog? As touched on previously, what we need currently is a scale to evaluate the complexity of various forms of technologies and more research into how each technology impacts a task and how a task can alter technologies (González-Lloret, Reference González-Lloret, Chapelle and Sauro2017). With respect to the effects of technology on task performance under different implementation conditions, there is still a paucity of studies on marrying technology and task conditions such as task planning and task repetition. Given the unique features of interaction in Web 2.0 technologies that afford immersive simulation, real-time interaction, and multimodal communication, these environments could reinforce the effects of task performance with prior planning. Thus, this line of study would offer research and practical implications for SLA stakeholders.
Another issue that has not received much attention in technology-mediated TBLT pertains to teachers’ beliefs. Teachers’ pedagogical beliefs have been identified as one of the major barriers to technology integration (e.g. Ertmer & Ottenbreit-Leftwich, Reference Ertmer and Ottenbreit-Leftwich2013). When teachers are not eager and prepared to implement the technology‐mediated TBLT curriculum, even the most appropriate and well-developed curriculum will most likely fail (González‐Lloret & Nielson, Reference González‐Lloret and Nielson2014). Hence, the important role of teachers in the success or failure of technology-enhanced tasks necessitates the conduct of more research into how teachers could be prepared through teacher training (e.g. O’Dowd & Ware, Reference O’Dowd and Waire2009), and which factors affect their willingness to adopt such instructional practices in their courses.
Future Directions
Because technologies are increasingly everyday and omnipresent, they should be adopted by learners and teachers as tools for experiential, situated learning, and as social practices deserving critical attention. Affordances emerge from the interplay of pedagogical practices centered around tasks and digital technologies, and prolonged explorations of how technology-mediated TBLT is planned, implemented, and evaluated by particular groups of learners and teachers and situational variables is merited. This connects with the potential of technology to provide language use opportunities even in acquisition-poor or English as a foreign language contexts (Ellis et al., Reference Ellis, Skehan, Li, Shintani and Lambert2020). The internet and CALL present a wealth of resources including audio and published materials. The use of such materials provides a large number of opportunities for the teaching of both receptive and productive skills. Technology-enhanced task-based lessons, with the autonomy they nurture, can enable learners of different ages and proficiencies, provided they are used with appropriate tasks, to transcend the restrictions of their own specific learning context (Ellis et al., Reference Ellis, Skehan, Li, Shintani and Lambert2020). To achieve this purpose, research in technology and TBLT needs to expand by providing answers to numerous questions and topics that are open to investigation. From theoretical issues concerned with the features of tasks, their sequencing, implementation, evaluation, and so forth, when mediated by technologies, to the rapidly transforming and developing innovations and their affordances to reinforce the role of language tasks, many issues still await more attention and investigation. As practices mature, they have the potential to direct theory building and methodological innovation in the field.



