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Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
Hengtao Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – Innovations in Education and Teaching International, 2024
Blended learning has been widely integrated in college-level computer science education. Despite evidence about benefits of blended learning, students' in-class activities remain underexplored. To afford effective blended learning experience, supporting students in both modalities is essential. This study thus took an initial step to fill the gap…
Descriptors: Blended Learning, Computer Science Education, Online Courses, Pretests Posttests
Adi Korisky; Ido Davidesco; Ofek Ben-Abu; Orel Levy; Klil Abrahami; Orly Geri; Elana Zion Golumbic – Mind, Brain, and Education, 2024
Students' school requirements and learning activities engage many different cognitive processes, including language processing, memory, learning, attention, reasoning, decision-making, and social interaction. However, students rarely learn about these cognitive processes, or the brain mechanisms underlying them and therefore lack the critical…
Descriptors: Neurosciences, Artificial Intelligence, Computer Software, Learning Activities