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The study examined the effects of sociolinguistic background, nonverbal reasoning, and phonological working memory (WM) on heritage language (L1) and second language (L2) skills in Heritage Bilingual (HB) children attending preschool, considering relationships between L1 and L2 abilities. A total of 108 HB children completed vocabulary, morphosyntactic, nonverbal reasoning, and phonological WM tasks in both L1 and Italian (L2). Sociolinguistic background, including socio-economic status and linguistic history, was assessed through parental interviews. The analysis of reciprocal correlations between L1 and L2 showed within-language relationships and cross-language correlations only for morphosyntactic skills. Sociolinguistic background significantly influenced vocabulary skills, particularly in L1, while nonverbal reasoning impacted morphosyntactic skills, especially in L2. The findings highlight the importance of supporting families in enriching linguistic input in the heritage language and underscore the role of nonverbal reasoning and phonological WM in developing L2 competencies.
Executive attention, an underlying mechanisms enabling self-regulation, can be behaviorally indicated by post-error slowing (PES) – a delay in reaction time following an error. PES develops during early childhood – plausibly shaped by genetic and environmental factors. We tested whether mothers’ and children’s PES predicted their post-traumatic stress disorder (PTSD) symptoms during a real-life stressful situation, and how each one’s PTSD symptoms moderated the other’s. Ninety-five kindergarten-aged children and mother pairs participated. In T1, participants’ PES was measured during a laboratory task. About 1.5 years afterwards, six months after a national traumatic event, mothers reported their own and their child’s PTSD symptoms (T2). Key findings show that for mothers with high PTSD symptoms, children with more developed PES at T1 showed less PTSD symptoms at T2. In contrast, for mothers with low PTSD symptoms, children’s PES was unrelated to their PTSD symptoms. For mothers of children with high PTSD symptoms, those with less developed PES at T1 showed high PTSD symptoms at T2. Mothers of children with low symptoms showed no such relation. The models explained 61.1% of children’s and 51% of mothers’ PTSD symptoms. These findings provide evidence for the protective effect of self-regulation against PTSD, and the mutual dyadic moderating effects of its manifestation.
In the decades since Nolen-Hoeksema’s (1991) original work on response styles, research on rumination has flourished within psychological science. This literature often emphasizes the association of impaired problem-solving with rumination. Spikes in the prevalence of rumination coincide with the entry into adolescence, as youth become increasingly sensitive to social feedback and interpersonal relationships. This article introduces the idea that rumination represents a socially reinforced process in adolescent girls, who are particularly likely to engage in rumination and to find interpersonal stress aversive. In the event that relationships evoke distress, girls may be able to generate solutions through ruminative coping; however, they are unwilling to accept and enact these solutions when these solutions have the potential to be further socially disruptive. Although ruminative inaction may have grave consequences for the moods of youth, it maintains an interpersonal harmony that some youth may prioritize and, in the process, avoids changing a social milieu, angering or displeasing others, or generating unwanted social controversy or conflict. This serves as reinforcement for ruminative coping, creating the risk that rumination will become an entrenched habit with the potential to further erode mood over time.
This chapter highlights the importance of regional and local settings and knowledge in the energy transition, and how to integrate this into teaching for graduate and undergraduate learners using Design Thinking (DT) as a pedagogical framework. Supplying clean, low-carbon energy to a growing global population presents one of the most complex challenges related to our societal needs. As awareness of the climate crisis increases, and as regional factors influencing the impacts of climate change become more apparent, there is a growing demand for localized approaches to achieving net-zero carbon emissions. These approaches are essential for equitable mitigation and adaptation strategies, and they are informed by local resources, customs, and geographical contexts that shape the availability of energy carriers.
Building operations require about a third of global energy demand and about a quarter of global carbon emissions, not counting the embedded carbon emissions associated with building materials. Cost-effective solutions are available today to reduce those emissions by 75% or more by 2050. But buildings also represent a massive long-term investment, both for individual families and for society at large, and the current pace of renovation needs massive acceleration if those goals are to be met. Accelerating building energy solutions will require changes in policy and regulation, new financial models, and a vast retraining effort for hundreds of millions of construction workers and building professionals as well as billions of building residents all across the globe. This chapter focuses on that education effort, which must be local as well as global, place-based and people-centered, and leverage international agreements as well as use-inspired research. We provide case studies and a roadmap to illustrate the range and scope of the educational efforts required to address the complexity and critical nature of this challenge.
Energy access, sustainability, and innovation introduce complex scenarios for all dealmakers, regardless of their level of power and leverage. This chapter examines negotiation planning, strategies, tactics, and ethics to provide a roadmap for educators who will develop strategic courses for future energy dealmakers, whether they are business leaders, politicians, environmentalists, entrepreneurs, bureaucrats, or educators.
What is a successful projects-based course? What is a failure? We walk through the process with recommendations to build a successful energy focused project-based pedagogy. Of course, the first step is to “acquire” the project and this is one of the most complicated and important steps in the process. We offer several tips and ideas on project acquisition. Additional details are provided on suggestions to structure the project, assign teams, guide and coach, but don’t mandate, grade; including external validation suitable for Assurance of Learning for particular programs, and finally how to assess the process. Along the way are reconciliations to concerns and hurdles to effective implementation and success.
This chapter will attempt to set the stage with facts and trends in the energy workforce, and link those with cultural and policy shifts that are affecting capital and investments which will drive the future of the energy workforce to look and act differently. Background with statistics on energy resource portfolio and graduates (new workforce) starting in 1980. Graphically depicting where jobs are within the energy sectors and the demographics of those employees and leaders, 1880s to current. Discussion about percentage of retirements, innovation, policy intervention, social responsibility, and individual values changing company cultures and hiring practices. The future of the energy workforce is unpredictable, but positive as we use energy more efficiently and create a more nimble workforce.
Over the course of seven years, the Tata center recruited and trained more than 200 graduate students from 18 different MIT departments to design and implement energy solutions that are practical and reliable in the developing world. Their work produced 45 patents, 12 commercial licenses, and over a dozen startups. This chapter demonstrates the method for implementing similar programs, with a focus on energy-related research projects. The program leaders describe their project as “CPR for Engineers,” with a three-axis model focusing on developing Compassion, Practice, and Research.
Within higher education, there is a general trend that students in science-related fields (e.g. engineering, energy, biological sciences, chemistry, etc.) focus on the necessary skills of their field but do not engage in training in business strategies and processes. As a result, scientists may struggle entering into, and progressing through, management positions. This chapter focuses on the business aspects of entrepreneurship that energy engineers should develop. Technical concepts of product management, marketing, financial models, and business structures are included with interpersonal skills of leadership, teamwork, creativity, and of introspection. Inclusion of these concepts will enhance scientists’ training and provide a supporting structure to help them lead in industry settings.
Previous research on bilingual language processing has shed light on language control mechanism behind comprehension and speech production of bilinguals but the commonness or habitualness of code-switched terms in the design of the stimuli is seldom explored. This research attempted to explore the relationship between habitualness of code-switched terms and cognitive load level in Cantonese-English sight translation tasks among native Cantonese speakers in Macao through investigation from both objective and subjective data. The research collected and analysed eye-tracking data, audio data and NASA-TLX data. The results provided partial evidence that Macao native Cantonese speakers tended to experience lower cognitive load in the sight translation task when they were allowed to code switch the words they habitually applied in English; however, the correlation between code-switching and reduction of cognitive load was not significant. The findings suggest the selectivity of code-switching in language output and indicate that different levels of habitualness of the code-switched terms may modulate cognitive load.
The value of an international energy internship is multifaceted. It serves as a critical growth opportunity for the student, who experiences the professional applications of his or her classroom learnings and develops an understanding of the challenges and solutions evident in different countries’ political, socioeconomic and cultural frameworks. It also provides a potential post-graduation career entry point, through access to an international network of professionals and by showcasing career paths within the sector. Beyond the impact for the student, these internships also pay dividends for host companies in the energy sector, by injecting cutting-edge knowledge from the students’ academic studies and cultural perspective they bring. As students return to campus from their international experiences, their new perspectives frame their understanding of the dynamic energy ecosystem and the different types of energy solutions needed in different contexts. These experiences position students to shape meaningful and successful careers in this new and evolving energy future.
Educators interested in teaching energy justice, either as a stand alone course or as part of another topic, have few resources to help them get started. This chapter seeks to expand and accelerate the inclusion of energy justice in higher education by offering educators new to this space a jumping-off point based on a project examining a set of university-level syllabi that focus on or include energy justice. Snowball methodology was used to identify courses and instructors in energy justice, and an adapted course mapping strategy was used to compare course rationales, learning objectives, schedules, and reading lists. Examples are drawn from numerous disciplinary and topical perspectives and highlight pedagogical choices made by instructors, including primary learning objectives, approaches to experiential learning, relationships to adjacent concepts such as environmental and climate justice, emotional and motivational elements, and essential texts. The chapter closes with a suggested list of questions for educators to wrestle with as they architect their own energy justice curricula.
This chapter will outline a collaborative approach to develop an interdisciplinary undergraduate energy program that embraces the strengths of and connections between STEM disciplines, social sciences, policy, communications, business, and the arts at your institution. The strategies presented will be based on the Collaborative Leadership Action Model developed by the author (Gosselin 2015) as well as his work as a facilitator with the Traveling Workshop Program of the National Association of Geoscience Teachers. Each curriculum developed is different. There is no "one size fits all" for the curriculum outcome. The focus will be on a continuum of processes that can facilitate the development process.
Our study examines chunking ability in the processing of auditory multi-word expressions (MWEs) in first (L1) and second languages (L2) using a single- and dual-task paradigm. The findings reveal that divided attention caused by dual tasks does not impair L1 speakers’ ability to bind individual words into a complete MWE (i.e., a unitary chunk). In contrast, L2 learners struggle to form complete MWEs under dual tasks, representing them as smaller, multiple chunks in memory. Divided attention also reduces the overall number of chunks recalled for both groups. Additionally, increased language proficiency and repeated practice through training are positively correlated with the formation of larger chunks, whereas greater working memory capacity is associated with the recall of a greater number of chunks. These findings underscore the challenges L2 learners face in acquiring relatively large chunks and suggest that L2 learning improves through gradually binding smaller units into larger chunks over time.
Energy education can no longer be merely a subtheme of engineering or economics. Educators must develop a holistic and integrated approach that develops and delivers new ways to deliver and analyze information. Fortunately, educational and industry groups responded by building mathematical and computational models and software tools to do just that. These models and tools have proved efficient in combining information from fields including engineering, economics, and social sciences to find solutions to both simple and complex problems. This chapter aims to support the interested educator, junior researcher, or young engineer along their trip to select the appropriate set of tools and models for their course, curriculum, or project.