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Adi Perry-Kates; Anat Cohen – Journal of Computer Assisted Learning, 2025
Background: In light of the growing need to understand interactive learning effectivity and especially post-COVID 19 pandemic constraints, the key question is how to develop interactive videos in order to get the most effective results. Objectives: This research aims to explore the pedagogical benefits of interactive video with branching…
Descriptors: Video Technology, Interaction, Instructional Effectiveness, Teaching Methods
Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Burin, Debora I.; González, Federico M.; Martínez, Magali; Marrujo, Jonathan G. – Journal of Computer Assisted Learning, 2021
Most of the studies establishing factors affecting digital text and multimedia comprehension have been conducted in controlled conditions. The present study sought to test and extend the modality and seductive details effects, and the role of verbal ability and working memory capacity, to a remote, self-paced, E-learning scenario. Two hundred and…
Descriptors: Electronic Learning, Multimedia Materials, Comprehension, College Freshmen