Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns
This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study’s participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration w...
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Athabasca University Press
2018
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oai:doaj.org-article:729d2ddc967445b89a0220b4e8745f7b2021-12-02T19:25:21ZApplying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns10.19173/irrodl.v19i2.28531492-3831https://doaj.org/article/729d2ddc967445b89a0220b4e8745f7b2018-05-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/2853https://doaj.org/toc/1492-3831This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study’s participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration based on a second-order cluster analysis. After performing a sequential analysis, this study reveals that highly motivated students exhibited a relatively serious reading pattern in a multi-tasking learning environment, and that online reading duration was a significant indicator of motivation in taking an online course. Finally, recommendations were provided to instructors and researchers based on the results of the study. Jerry Chih-Yuan SunChe-Tsun LinChien ChouAthabasca University Pressarticlelearning analyticsmotivationsequential analysisonline learningbehavioral patternSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 19, Iss 2 (2018) |
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learning analytics motivation sequential analysis online learning behavioral pattern Special aspects of education LC8-6691 |
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learning analytics motivation sequential analysis online learning behavioral pattern Special aspects of education LC8-6691 Jerry Chih-Yuan Sun Che-Tsun Lin Chien Chou Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns |
description |
This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study’s participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration based on a second-order cluster analysis. After performing a sequential analysis, this study reveals that highly motivated students exhibited a relatively serious reading pattern in a multi-tasking learning environment, and that online reading duration was a significant indicator of motivation in taking an online course. Finally, recommendations were provided to instructors and researchers based on the results of the study.
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format |
article |
author |
Jerry Chih-Yuan Sun Che-Tsun Lin Chien Chou |
author_facet |
Jerry Chih-Yuan Sun Che-Tsun Lin Chien Chou |
author_sort |
Jerry Chih-Yuan Sun |
title |
Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns |
title_short |
Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns |
title_full |
Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns |
title_fullStr |
Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns |
title_full_unstemmed |
Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns |
title_sort |
applying learning analytics to explore the effects of motivation on online students' reading behavioral patterns |
publisher |
Athabasca University Press |
publishDate |
2018 |
url |
https://doaj.org/article/729d2ddc967445b89a0220b4e8745f7b |
work_keys_str_mv |
AT jerrychihyuansun applyinglearninganalyticstoexploretheeffectsofmotivationononlinestudentsreadingbehavioralpatterns AT chetsunlin applyinglearninganalyticstoexploretheeffectsofmotivationononlinestudentsreadingbehavioralpatterns AT chienchou applyinglearninganalyticstoexploretheeffectsofmotivationononlinestudentsreadingbehavioralpatterns |
_version_ |
1718376566818340864 |