Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom

Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an...

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Autores principales:	Randall Davies, Gove Allen, Conan Albrecht, Nesrin Bakir, Nick Ball
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	learning analytics data analytics instructional design education online learning Education L
Acceso en línea:	https://doaj.org/article/a9f1ccc071894af79e9436e5dbf7a8a8
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spelling	oai:doaj.org-article:a9f1ccc071894af79e9436e5dbf7a8a82021-11-25T17:23:12ZUsing Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom10.3390/educsci111106682227-7102https://doaj.org/article/a9f1ccc071894af79e9436e5dbf7a8a82021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7102/11/11/668https://doaj.org/toc/2227-7102Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an online flipped spreadsheet course. An analysis of these results showed that students did tend to follow a specific learning strategy as they completed this course. However, students also self-regulated to some degree, based on the topic and context of specific lessons. These insights not only improve our understanding about the students taking the course, but they also provide guidance for how the instructional design of the course might be improved. Of note is the practical value of this proof-of-concept study in using educational data mining to improve the instructional design of a course.Randall DaviesGove AllenConan AlbrechtNesrin BakirNick BallMDPI AGarticlelearning analyticsdata analyticsinstructional designeducationonline learningEducationLENEducation Sciences, Vol 11, Iss 668, p 668 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	learning analytics data analytics instructional design education online learning Education L
spellingShingle	learning analytics data analytics instructional design education online learning Education L Randall Davies Gove Allen Conan Albrecht Nesrin Bakir Nick Ball Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
description	Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an online flipped spreadsheet course. An analysis of these results showed that students did tend to follow a specific learning strategy as they completed this course. However, students also self-regulated to some degree, based on the topic and context of specific lessons. These insights not only improve our understanding about the students taking the course, but they also provide guidance for how the instructional design of the course might be improved. Of note is the practical value of this proof-of-concept study in using educational data mining to improve the instructional design of a course.
format	article
author	Randall Davies Gove Allen Conan Albrecht Nesrin Bakir Nick Ball
author_facet	Randall Davies Gove Allen Conan Albrecht Nesrin Bakir Nick Ball
author_sort	Randall Davies
title	Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
title_short	Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
title_full	Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
title_fullStr	Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
title_full_unstemmed	Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
title_sort	using educational data mining to identify and analyze student learning strategies in an online flipped classroom
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a9f1ccc071894af79e9436e5dbf7a8a8
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Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom

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