The aim of this paper is two-fold: firstly, to provide an overview of emerging digital practices that support collaborative learning, competency development, and digital literacy for student-centered learning environments in higher education during the rapid digital transition caused by pandemic-related lockdowns across the world, and secondly, to analyze and discuss how systematic reviews of generalized themes and trends can be combined with contextualized experiences and the lessons learned from the Covid-19 crisis to inform the digital transformation of higher education, with a particular focus on bridging the gap between campus-based teaching and online learning and on the identification of the digital competencies that teachers and students must acquire during the continuing shift into a ‘new normal’ for post-pandemic educational practices. This study was motivated by questions and findings emerging from an early reactive case study conducted by three of this paper’s co-authors (Lyngdorf et al., 2021a). By reviewing the full texts of 18 articles, this study provides a systematic literature review which maps the general landscape of the online, hybrid, and blended digital practices applied in existing student-centered learning environments in higher education since the onset of the pandemic. Furthermore, this mapping is used to revisit data and findings from the earlier reactive study of emerging digital practices in a specific problem- and project-based learning (PBL) environment. This study’s findings highlight critical factors and barriers related to emerging practices which support students’ interactions with teachers, content, and each other, as well as the emerging competencies that these practices will require. The paper concludes with a discussion of the main findings and their implications for further research and practice.
Deficits with time management and other cognitive functions can stem from multiple causes and be found across different diagnostic conditions. At the same time, cognitive function can differ within diagnostic classes, which calls for adaptable and personalized assistance. A great deal of literature on cognitive assistive technology (CAT) focus on diagnostic populations rather than cognitive impairments across different conditions. This study reports the initial steps towards a data-driven approach to map out the characteristics and behavior of users of a time management app, Tiimo, originally targeting children with ADHD. Based on results from a questionnaire and analysis of user activity data, findings indicate a tendency of attracting a more heterogeneous user population compared to the originally intended target group, thus supporting the need for a more complex and data-driven 'design for all' approach to CAT rather than delimitations based on diagnostic groups. Preliminary findings from the analysis of activity data across user groups and diagnoses show that users generally schedule fewer than five daily activities and most often in the morning, suggesting a potential emphasis on support particularly during morning routines. However, the analysis also highlights the need for more data points to enable assessment of progress, motivation, and effectiveness of the technology. Next steps include a more detailed analysis of user activity that takes different types of behavior and other relevant factors into account by applying NLP to further develop data-driven approaches to user profiling and personalization in time management apps for neurodivergent users.
Educational institutions around the world continue to develop teaching practices in which the importance of digital solutions is expanding. The increasing digitization of education and learning has made it even more important to explore and test how experiential collaborative teaching methods can be digitized and designed to facilitate collaboration, active participation, and exploration, elements that are all crucial to support development of complex skills and competencies. Previous research reveals that many solutions for e-learning do not sufficiently support more complex forms of learning. The authors argue that many technologies developed for the field of education fall short of their purposes and neglect or ignore intended underpinning pedagogy and didactics. As new technologies are being developed, promising great improvements in supporting student’ learning processes, the problem is exasperated by a technological euphoria, supported by EdTech companies, which effectively undermines appropriate cautions and reservations. The article applies the overarching conceptualization Experiential and Collaborative learning (ECL) in an attempt of include an array of established and complex educational methods or pedagogical models, such as Problem-Based Learning (PBL), Reflective Practice-based Learning (RPL) and Inquiry- of ECL have been derived. Based on those keywords, a systematic literature study within the database of ECEL article from 2012-2021 has been conducted to investigate and summarize the potential gap often seen between pedagogical and technological development in Edtech. The research question is twofold: "How is ECL addressed in ECELs papers" and "What is the potential gap transforming ECL to digital solutions"? The findings reveal that ECL is present in many articles to some extent. However, after sorting the articles using PRISMA, only a few articles are included capturing the complexity of ECLs. Based on the selected articles, gaps and potentials are identified, indicating a need for further research.
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