Projects per year
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.
Original language | English |
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Title of host publication | ICCE 2020 - 28th International Conference on Computers in Education, Proceedings |
Editors | 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 |
Publisher | Asia-Pacific Society for Computers in Education |
Pages | 267-271 |
Number of pages | 5 |
ISBN (Electronic) | 9789869721455 |
State | Published - 23 Nov 2020 |
Event | 28th International Conference on Computers in Education, ICCE 2020 - Virtual, Online Duration: 23 Nov 2020 → 27 Nov 2020 |
Publication series
Name | ICCE 2020 - 28th International Conference on Computers in Education, Proceedings |
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Volume | 1 |
Conference
Conference | 28th International Conference on Computers in Education, ICCE 2020 |
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City | Virtual, Online |
Period | 23/11/20 → 27/11/20 |
Keywords
- Cognitive Load
- Learning Strategies
- Sequence Clustering
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Dive into the research topics of 'Using sequence clustering to unveil students' learning strategies and explore the relationship with cognitive load'. Together they form a unique fingerprint.Projects
- 3 Finished
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The Research of Applying Educational Big Data and Learning Analytics to Improve Self-Regulated Learning in Programming(1/3)
Yang, S. J. H. (PI)
1/08/20 → 31/07/21
Project: Research
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An Empirical Study on the Cultivation and Learning Analytics of Computational Thinking Skills(2/3)
Yang, S. J. H. (PI)
1/08/20 → 31/07/21
Project: Research
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The Research of Applying Big Data to Improving Moocs Learning Analytics:An Empirical Study of College Calculus(3/3)
Yang, S. J. H. (PI)
1/08/19 → 31/07/20
Project: Research