Several studies have found that virtual exchange (VE) has a positive impact on intercultural effectiveness (IE) development. However, few VE studies have measured and unpacked perceived learning gains from VE in this area using data from multiple VEs and mixed-methods approaches. In this study, we explored the impact of VE on perceived IE development among pre-service teachers in two exchanges. Using k-means cluster analysis of reported gains in IE, we identified three groups of students who reported high-medium-low IE gains. Cluster analysis informed our qualitative analysis of students’ reflections on VE. Having analysed data from 486 diary entries at four successive time measurements, we identified three factors critical to students’ perceived IE development: students’ ability to overcome challenges during VE, level of engagement with their partners, and engagement with cultural difference. These findings shed light on what experiences in VE influence participants’ perceptions of their intercultural learning. The study provides recommendations for the design of online collaborative learning programmes, such as VE, that might help address students’ diverse needs.

Mentored online intercultural interaction offers foreign language learners the opportunity to develop different competences, including intercultural, linguistic, and digital competence (O’Dowd, 2021). Such virtual exchange (VE) projects typically involve computer-mediated communication via, for example, Zoom. However, the use of high-immersion virtual reality (VR) for synchronous online collaboration in VE projects has received little attention. This study investigated the effect of VR on students’ levels of presence and engagement, on students’ communication and on students’ views on using VR for intercultural encounters compared to traditional videoconferencing tools. Twenty-seven university students from the Netherlands and Germany utilised VR to carry out intercultural learning tasks using English as a lingua franca during a four-week implementation period. Participants responded to pre- and post-intervention questionnaires, completed reflection journals, audio- or video-recorded their VR meetings and participated in interviews. Results showed that the levels of presence and engagement and preferences of social VR compared to videoconferencing for intercultural encounters depended on students individually. A VR immersion experience and comfortability scale was created based on the data which showed mixed experiences. VR influenced participants’ interactions, topics of conversation and communication strategies when they explored their spaces together. The results showed that students’ attitudes towards VR and their subjective experience of VR seem to play an important role in the VE-VR setting. VR provided a safe space for many participants. Positive attitudes towards communicating in the VR environment are highly correlated with positive attitudes towards meeting students from other countries in VR. Implications for language education are provided.

In recent years, the number of studies investigating the effectiveness of using digital games for incidental second language (L2) vocabulary learning has been rapidly increasing; however, there is still a lack of research identifying the factors that affect incidental L2 vocabulary learning. Hence, the current study examined vocabulary-related (word level, exposure frequency, salience) and learner-related (language proficiency, interest, viewing captions) variables and investigated factors affecting EFL students’ incidental vocabulary learning in the use of a vernacular (noneducational) murder mystery game (N = 59). The study employed a quantitative research method and descriptive and inferential statistics (repeated measures ANOVA and multiple linear regression). The results showed that playing the game greatly facilitated L2 vocabulary acquisition and retention. Among the vocabulary-related variables, the study found that only salience significantly influenced vocabulary acquisition. Regarding the learner-related variables, the students’ interest and viewing captions were positively related to vocabulary learning, whereas their language proficiency levels were negatively correlated. The study found that the students’ conscious attention, in conjunction with salience of the word, was the main facilitating factor in incidental vocabulary acquisition and retention in the game-enhanced language learning environment. The study suggested pedagogical implications for incidental vocabulary learning through game play based on the results of the study.

Although it has been suggested that automated writing evaluation (AWE) can liberate teachers’ time to focus more on higher-order concerns as it can take care of lower-order concerns, AWE’s impact on teachers’ feedback practice is underexplored. Additionally, scant literature exists on teachers’ perception of AWE when they use it to complement their feedback. This study explored how Grammarly shaped postsecondary L2 writing teachers’ feedback when it was used to complement teacher feedback as well as teachers’ perceptions of the tool. To understand Grammarly’s impact, teachers’ comments on 10 essays were analyzed. The teachers then had a semi-structured interview aimed at exploring their perceptions of Grammarly. The findings showed that teachers provided feedback both on global and local aspects of writing despite using Grammarly as a complement, and there was no division of labor such as that a teacher takes care of higher-order and Grammarly takes care of lower-order concerns. The findings also revealed factors that impacted teachers’ feedback, including teachers’ use of Grammarly reports, their attitudes toward automated feedback, as well as their beliefs about feedback and course objectives. Overall, of the six teachers, four were positive about Grammarly, while two were skeptical. The study provides implications on how to use Grammarly meaningfully as a complement to teacher feedback.

This study investigates and compares the quality of Google-translated texts (GTTs) across writing genres (narrative, descriptive, expository, and persuasive) with EFL student–generated texts (SGTs), and explores students’ attitudes toward Google Translate (GT) output. In a mixed-methods design with a computational approach to text analysis, this study utilizes multiple data sources, including 328 written texts, written reflections, four attitude questionnaires, focus group discussion, and individual interviews. Forty-one Arabic-speaking undergraduate students majoring in English language and translation at a Saudi university participated in this study. They engaged in eight computer-mediated writing sessions by responding to tasks using English, then responding to the same tasks using their first language (L1). Subsequently, they utilized GT to translate L1 texts into English and compared SGTs with GTTs. The findings show that GTTs have higher literacy levels and richer content in the persuasive and expository genres, and higher style levels in the narrative and descriptive genres. Moreover, the comparison between SGTs and GTTs reveals that GTTs have higher literacy levels, better style, and richer content in the descriptive, expository, and persuasive genres. Meanwhile, the students hold positive views on the general quality, grammatical accuracy, and provision of lexical alternatives in GTTs across genres. Pedagogical implications are discussed.

In 2016, Lawley proposed an easy-to-build spellchecker specifically designed to help second language (L2) learners in their writing process by facilitating self-correction. The aim was to overcome the disadvantages to L2 learners posed by generic spellcheckers (GSC), such as that embedded in Microsoft Word. Drawbacks include autocorrection, misdiagnoses, and overlooked errors. With the aim of imparting explicit L2 spelling knowledge, this correcting tool does not merely suggest possible alternatives to the detected error but also provides explanations of any relevant spelling patterns. Following Lawley’s (2016) recommendations, the present study developed a prototype computer-based pedagogic spellchecker (PSC) to aid L2 learners in self-correcting their written production in Spanish. First, a corpus was used to identify frequent spelling errors of Spanish as a foreign language (SFL) learners. Handcrafted feedback was then designed to tackle the commonest misspellings. To subsequently evaluate this PSC’s efficacy in error detection and correction, another learner Spanish corpus was used. Sixty compositions were analysed to determine the PSC’s capacity for error recognition and feedback provision in comparison with that of a GSC. Results indicate that the PSC detected over 90% of the misspellings, significantly outperforming the GSC in error detection. Both provided adequate feedback on two out of three detected errors, but the pedagogic nature of the former has the added advantage of facilitating self-learning (Blázquez-Carretero & Woore, 2021). These findings suggest that it is feasible to develop spellcheckers that provide synchronous feedback, allowing SFL learners to confidently self-correct their writing while saving time and effort on the teacher’s part.

This study employs a bibliometric approach to analyse common research themes, high-impact publications and research venues, identify the most recent transformative research, and map the developmental stages of data-driven learning (DDL) since its genesis. A dataset of 126 articles and 3,297 cited references (1994–2021) retrieved from the Web of Science was analysed using CiteSpace 6.1.R2. The analysis uncovered the principal research themes and high-impact publications, and the most recent transformative research in the DDL field. The following evolutionary stages of DDL were determined based on Shneider’s (2009) scientific model and the timeline generated by CiteSpace, namely, the conceptualising stage (1980s–1998), the maturing stage (1998–2011), and the expansion stage (2011–now), with Stage 4 just emerging. Finally, the analysis discerned potential future research directions, including the implementation of DDL in larger-scale classroom practice and the role of variables in DDL.

This study reviews 71 high-quality studies of massive open online courses focused on languages (LMOOCs) that were published from the inception of LMOOCs to 2021. The purpose of this study is to gain a deeper understanding of the current state of research and identify fruitful directions for future LMOOC research. First, we reviewed three basic sets of characteristics of these studies: (1) research trends – for example, publication types and years; (2) research contexts – for example, countries in which the studies were conducted, the subjects’ target languages, language-ability levels, skills, and whether the focal courses are for specific purposes; and (3) research design, including data collection, data analysis, and theoretical frameworks. We then utilized a text-mining approach called Latent Dirichlet Allocation that uses machine-learning techniques to identify research-topic commonalities underlying the collected studies. In this way, a total of nine topics were identified. They were: (1) core elements of LMOOCs; (2) interaction and communication in LMOOCs; (3) innovative LMOOC teaching practices; (4) LMOOC standards and quality assurance; (5) LMOOC implementation, participation, and completion; (6) LMOOC teaching plans; (7) LMOOC learning effectiveness and its drivers/obstacles; (8) learners and learning in LMOOCs; and (9) inclusiveness in LMOOCs. These were then diagrammed as a ThemeRiver, which showed the evolutionary trend of the nine identified topics. Specifically, scholarly interest in Topics 5, 7, and 9 increased over time, whereas for Topics 1 and 6, it decreased. Based on our results, we highlighted specific directions for future LMOOC research on each of the identified research topics.