Using Educational Data Mining to Identify and Analyze Student Learning Strategies

Date
2019-01-08
Authors
Allen, Gove
Davies, Randy
Ball, Nicholas
Albrecht, Conan
Bakir, Nesrin
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Abstract
This paper explores student learning strategies in an introductory spreadsheets course. Student study habits were tracked at a level of detail not available in previous research. Detailed data were collected regarding reading, video watching, actions in practice assignments, references to assignment instructions, and actions in graded assignments. The analysis indicates that student strategies cluster into four primary learning groups. The study provides insight into how instructors can develop their courses and lectures in ways that better match the learning strategies of their students.
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Advances in Teaching and Learning Technologies, Collaboration Systems and Technologies, educational strategies, learning strategies, online courses, student learning
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9 pages
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Proceedings of the 52nd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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