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Sepp, Stoo; Wong, Mona; Hoogerheide, Vincent; Castro-Alonso, Juan Cristobal – Journal of Computer Assisted Learning, 2022
Background: As a result of the COVID-19 pandemic, many teachers found themselves making a rapid and often challenging shift from in-person classroom teaching to teaching in an online environment. As teachers continue to learn about working in this new environment, research in cognitive and learning sciences, specifically findings from cognitive…
Descriptors: COVID-19, Pandemics, Online Courses, Teaching Methods
Lahza, Hatim; Khosravi, Hassan; Demartini, Gianluca – Journal of Computer Assisted Learning, 2023
Background: The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher-order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored.…
Descriptors: Learning Analytics, Learning Strategies, Electronic Learning, Independent Study
Lange, C.; Costley, J. – Journal of Computer Assisted Learning, 2018
Highly interactive and complex content within e-learning induces high levels of intrinsic load. Self-regulated effort represents one strategy that may help learners overcome such issues within e-learning. Using intrinsic load items representative of content complexity, germane load items representative of learning, and self-regulated effort items…
Descriptors: Metacognition, Electronic Learning, Independent Study, Correlation
Yen, M.-H.; Chen, S.; Wang, C.-Y.; Chen, H.-L.; Hsu, Y.-S.; Liu, T.-C. – Journal of Computer Assisted Learning, 2018
This article develops a framework for self-regulated digital learning, which supports for self-regulated learning (SRL) in e-learning systems. The framework emphasizes 8 features: learning plan, records/e-portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each…
Descriptors: Independent Study, Electronic Learning, Models, Online Courses
Fleming, R.; Stoiber, L. C.; Pfeiffer, H. M.; Kienzler, S. E.; Fleming, R. R.; Pedrick, L. E.; Barth, D. J.; Reddy, D. . – Journal of Computer Assisted Learning, 2016
This study was undertaken to evaluate whether the student success associated with the "U-Pace" instructional approach, which integrates mastery-based learning with proactive instructor support in an online learning environment, would replicate for both economically disadvantaged students and students who are not economically…
Descriptors: Teaching Methods, Mastery Learning, Academic Achievement, Economically Disadvantaged
Bolman, Catherine; Tattersall, C.; Waterink, W.; Janssen, J.; van den Berg, B.; van Es, R.; Koper, R. – Journal of Computer Assisted Learning, 2007
This article investigates the usability of a navigation support tool, which guides learners by generating advice on the next best step to take in a self-study e-learning course. The article draws on log data and responses from online questionnaires to provide insights into learners' evaluation of the tool, their adherence to the advice and their…
Descriptors: Experimental Groups, Self Efficacy, Distance Education, Independent Study

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