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Tornike Giorgashvili; Ioana Jivet; Cordula Artelt; Daniel Biedermann; Daniel Bengs; Frank Goldhammer; Carolin Hahnel; Julia Mendzheritskaya; Julia Mordel; Monica Onofrei; Marc Winter; Ilka Wolter; Holger Horz; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate their learning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LAD design, there remains a gap in understanding how learners make sense of information visualised on LADs…
Descriptors: Field Studies, Student Reaction, Feedback (Response), Learning Analytics
Min Young Doo; Yeonjeong Park – Journal of Computer Assisted Learning, 2024
Background: Despite the many advantages of flipped learning, it is challenging for educators to ensure that students complete the pre-class learning assignments before the in-class session. Objectives: Using a learning analytics approach, this study analysed students' pre-class video-watching behaviour in flipped learning with a focus on learners'…
Descriptors: Flipped Classroom, Video Technology, Student Behavior, Learning Strategies
Lin, Jian-Wei – Journal of Computer Assisted Learning, 2019
Team-based learning (TBL) stresses applying knowledge rather than absorbing knowledge in class; studies have investigated the use of TBL and its merits in different teaching courses (e.g., medical science and business). TBL is most effective when students learn autonomously before class. However, the ability of autonomous learning is highly…
Descriptors: Teamwork, Metacognition, Learning Strategies, Knowledge Level

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