Projects per year
Abstract
Many previous studies have shown that students' learning strategies and engagement are both important factors affecting students' learning outcome. We want to know whether the engagement of students who use different learning strategies is different, so that we can proxy measure students' engagement according to the learning strategies used by students. Different from the past methods of using questionnaires or interviews, this research used education data mining technology to directly analyze the learning logs of online learning system to extract students' learning strategies. We collected the learning logs of 56 students, and extracted the learning strategies of the students using sequence clustering. We classified four learning strategies and performed Pearson correlation analysis with students' learning outcome and engagement, and discussed the key strategies that affect students' learning outcome. We also found that students who use different learning strategies have different levels of engagement.
Original language | English |
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Title of host publication | Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021 |
Editors | Maiga Chang, Nian-Shing Chen, Demetrios G Sampson, Ahmed Tlili |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 360-362 |
Number of pages | 3 |
ISBN (Electronic) | 9781665441063 |
DOIs | |
State | Published - Jul 2021 |
Event | 21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021 - Virtual, Online, Malaysia Duration: 12 Jul 2021 → 15 Jul 2021 |
Publication series
Name | Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021 |
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Conference
Conference | 21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021 |
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Country/Territory | Malaysia |
City | Virtual, Online |
Period | 12/07/21 → 15/07/21 |
Keywords
- Learning analytics
- Learning outcome
- Learning strategies
- Sequence clustering
- Student engagement
Fingerprint
Dive into the research topics of 'Exploring learning strategies by sequence clustering and analysing their correlation with student's engagement and learning outcome'. Together they form a unique fingerprint.Projects
- 2 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