Using Educational Data Mining to Identify and Analyze Student Learning Strategies
- Gove Allen, Information Systems Department, Brigham Young University, Provo, Utah, United States
- Randy Davies, Education Department, Brigham Young University, Provo, Utah, United States
- Nicholas Ball, Information Systems, Utah Valley University, Orem, Utah, United States
- Conan Albrecht, Information Systems Department, Brigham Young University, Provo, Utah, United States
- Nesrin Bakir, Computer Information Systems, West Texas A&M University, Canyon, Texas, United States
AbstractThis 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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