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Abdullahi Yusuf; Amiru Yusuf Muhammad – Journal of Educational Computing Research, 2024
The study investigates the potential of anxiety clusters in predicting programming performance in two distinct coding environments. Participants comprised 83 second-year programming students who were randomly assigned to either a block-based or a text-based group. Anxiety-induced behaviors were assessed using physiological measures (Apple Watch…
Descriptors: Novices, Programming, Anxiety, Coding
Rivers, Damian J.; Nakamura, Michiko; Vallance, Michael – Journal of Educational Computing Research, 2022
As education is remodelled to online solutions, instructors and students are required to adapt their teaching and learning through different forms of monitoring, regulation and assessment. This remodelling requires conceptual and philosophical reflection relating to stakeholder roles and the relationship between learners and teaching materials…
Descriptors: Electronic Learning, Self Control, Learning Strategies, Academic Achievement
Zhang, Mingyan; Du, Xu; Hung, Jui-Long; Li, Hao; Liu, Mengfan; Tang, Hengtao – Journal of Educational Computing Research, 2022
In online learning, students' learning behavior might change as the course progresses. How students adjust learning behaviors aligned with course requirements reflects their self-regulated learning strategies. Analyzing students' learning patterns can help instructors understand how the course design or activities shape students' learning…
Descriptors: Elementary Secondary Education, Students, Independent Study, Self Control