Using sequence clustering to unveil students' learning strategies and explore the relationship with cognitive load

Ching Hsiang Kang, Anna Y.Q. Huang, Owen H.T. Lu, Bin Shyan Jong, Irene Y.L. Chen, Stephen J.H. Yang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

The generation of learning strategies is related to students' cognitive abilities, and students with similar cognitive abilities tend to adopt similar learning strategies. This study conducted an experiment of a system programming course with 113 college students and collected logs from a learning management system. There are five learning strategies that can be identified through sequence clustering analysis, they are comprehensive video-oriented learning, comprehensive slide-oriented learning, offline learning, selective learning, and reflective learning. Among the five learning strategies, selective learning strategy is positively correlated with students' cognitive load, which can be explored that these students make practice of quiz without reading learning materials, and tend to select unfamiliar concepts to read based on quiz results. Students who use selective learning strategy are referred to as incomprehensive learners, and the selective learning strategy prone to increase students' cognitive load due to overflying unclear and segmented information.

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主出版物標題ICCE 2020 - 28th International Conference on Computers in Education, Proceedings
編輯Hyo-Jeong So, Ma. Mercedes Rodrigo, Jon Mason, Antonija Mitrovic, Daniel Bodemer, Weichao Chen, Zhi-Hong Chen, Brendan Flanagan, Marc Jansen, Roger Nkambou, Longkai Wu
發行者Asia-Pacific Society for Computers in Education
頁面267-271
頁數5
ISBN(電子)9789869721455
出版狀態已出版 - 23 11月 2020
事件28th International Conference on Computers in Education, ICCE 2020 - Virtual, Online
持續時間: 23 11月 202027 11月 2020

出版系列

名字ICCE 2020 - 28th International Conference on Computers in Education, Proceedings
1

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???event.eventtypes.event.conference???28th International Conference on Computers in Education, ICCE 2020
城市Virtual, Online
期間23/11/2027/11/20

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