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Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation
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Timothy Gallagher; Bert Slof; Marieke van der Schaaf; Michaela Arztmann; Sofia Garcia Fracaro; Liesbeth Kester – Journal of Computer Assisted Learning, 2024
Background: Learning analytics dashboards are increasingly being used to communicate feedback to learners. However, little is known about learner preferences for dashboard designs and how they differ depending on the self-regulated learning (SRL) phases the dashboards are presented (i.e., forethought, performance, and self-reflection phases) and…
Descriptors: Learning Analytics, Experiential Learning, Individualized Instruction, Computer System Design
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Onur Karademir; Daniele Di Mitri; Jan Schneider; Ioana Jivet; Jörn Allmang; Sebastian Gombert; Marcus Kubsch; Knut Neumann; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Teacher dashboards can help secondary school teachers manage online learning activities and inform instructional decisions by visualising information about class learning. However, when designing teacher dashboards, it is not trivial to choose which information to display, because not all of the vast amount of information retrieved…
Descriptors: Learning Analytics, Secondary School Teachers, Educational Technology, Design
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Juan M. Pieschacon; Ross T. Smith; Andrew Cunningham; Ellen O'Callaghan; Daniel Harvie – Journal of Computer Assisted Learning, 2025
Background: Physiotherapy education traditionally relies on face-to-face instruction for teaching complex manual therapy techniques. Current remote teaching methods struggle to convey spatial aspects of physical techniques, limiting their effectiveness for practical skills training. Few examples were found of immersive training systems for…
Descriptors: Spatial Ability, Visualization, Physical Therapy, Training
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Faruk Arici; Rabia Meryem Yilmaz – Journal of Computer Assisted Learning, 2025
Background: Inquiry-based learning (IbL) has significantly contributed to science education, and this impact can be enhanced with technology. Augmented Reality (AR) offers 3D visualisation and interactive experiences, whereas Video-based Learning (VbL) provides narratives with visual and audio support. Both methods aid students in exploring,…
Descriptors: Simulated Environment, Computer Simulation, Video Technology, Inquiry