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Direct linkQian 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
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
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
