Using Sequence Clustering to Unveil Students' Learning Strategies and Explore the Relationship with Cognitive Load

Authors

  • Ching-Hsiang KANG Computer Science & Information Engineering, National Central University, Taoyuan City, Taiwan Author
  • Anna Y.Q. HUANG Computer Science & Information Engineering, National Central University, Taoyuan City, Taiwan Author
  • Owen H.T. LU College of Computer Science, National Pingtung University, Pingtung City, Taiwan Author
  • Bin-Shyan JONG Information & Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan Author
  • Irene Y.L. CHEN Department of Accounting, National Changhua University of Education, Changhua City, Taiwan Author
  • Stephen J.H. YANG Computer Science & Information Engineering, National Central University, Taoyuan City, Taiwan Author

Abstract

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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Published

2020-11-23

How to Cite

Using Sequence Clustering to Unveil Students’ Learning Strategies and Explore the Relationship with Cognitive Load. (2020). International Conference on Computers in Education, 267-271. https://library.apsce.net/index.php/ICCE/article/view/3929