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Xiaoqing Xu; Wei Zhao; Yue Li; Lifang Qiao; Jinhong Tao; Fengjuan Liu – Education and Information Technologies, 2025
The success of online learning relies on college students' self-regulated learning. The common visualizations (e.g., presentation learning behaviors' frequency and duration) are widely used to enhance online self-regulated learning. But most college students still have difficulty in accurately understanding their learning patterns and…
Descriptors: Individualized Instruction, Electronic Learning, College Students, Visualization
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Skulmowski, Alexander – Education and Information Technologies, 2022
Digital learning increasingly makes use of realistic visualizations, although realism can be demanding for learners. Color coding is a popular way of helping learners understand visualizations and has been found to aid in learning with detailed visualizations. However, previous research has shown that color coding must not always be an effective…
Descriptors: Color, Coding, Visualization, Electronic Learning
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Liu, Chan; Liu, Hao; Tan, Zhanglu – Education and Information Technologies, 2023
In online education, the appropriate choice of means of knowledge visualization can reduce cognitive load and improve cognitive efficiency. However, no universal basis for selection can cause confusion in the pedagogical context. This study used the revised Bloom's taxonomy to combine the types of knowledge with cognitive goals. We used a course…
Descriptors: Epistemology, Visualization, Eye Movements, Electronic Learning
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Jae-Yeop Jeong; JiYeon Oh; Jin-Woo Jeong – Education and Information Technologies, 2024
Pre-recorded lectures have become a prevalent approach in online education due to the proliferation of MOOC platforms and the COVID-19 pandemic. However, due to the lack of real-time interactions between instructors and learners, learners have encountered various difficulties in understanding the lectures and actively engaging with the learning…
Descriptors: Learning Experience, Teaching Methods, Cues, Video Technology