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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jerry Chih-Yuan Sun, Che-Tsun Lin, Chien Chou
Formato: article
Lenguaje:EN
Publicado: Athabasca University Press 2018
Materias:
Acceso en línea:https://doaj.org/article/729d2ddc967445b89a0220b4e8745f7b
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:729d2ddc967445b89a0220b4e8745f7b
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic learning analytics
motivation
sequential analysis
online learning
behavioral pattern
Special aspects of education
LC8-6691
spellingShingle 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.
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