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Xiongjun Zhou; Yunxia Xiao; Mengxue Zheng; Zhijie Liang; Bo Sun; Juan Yang – Education and Information Technologies, 2024
A substantial amount of literature has shown that the input flooding and enhancement (Textual enhancement, TE) technique helps learners to perceive and acquire target features implicitly. Previous studies explored the efficacy of computer-assisted TE interventions in Second Language Acquisition with diverse techniques, but animation has not yet…
Descriptors: Foreign Countries, Second Language Learning, Elementary School Students, Animation
Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
Mselle, Leonard; Ishengoma, Fredrick – Education and Information Technologies, 2022
In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…
Descriptors: Visualization, Teaching Methods, Cognitive Ability, Learning Theories