Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59442

Using Educational Data Mining to Identify and Analyze Student Learning Strategies

File Size Format  
0002.pdf 682.62 kB Adobe PDF View/Open

Item Summary

Title:Using Educational Data Mining to Identify and Analyze Student Learning Strategies
Authors:Allen, Gove
Davies, Randy
Ball, Nicholas
Albrecht, Conan
Bakir, Nesrin
Keywords:Advances in Teaching and Learning Technologies
Collaboration Systems and Technologies
educational strategies, learning strategies, online courses, student learning
Date Issued:08 Jan 2019
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.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/59442
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.004
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Advances in Teaching and Learning Technologies


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons