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Autor/inn/enSun, Jerry Chih-Yuan; Lin, Che-Tsun; Chou, Chien
TitelApplying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns
QuelleIn: International Review of Research in Open and Distributed Learning, 19 (2018) 2, S.209-227 (19 Seiten)Infoseite zur Zeitschrift
PDF als Volltext kostenfreie Datei Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1492-3831
SchlagwörterStudent Motivation; Student Behavior; Reading; Behavior Patterns; Data Analysis; Learning; Graduate Students; Multivariate Analysis; Electronic Learning; Foreign Countries; Differences; Questionnaires; Statistical Analysis; Observation; Interviews; Taiwan
AbstractThis 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 multitasking 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. (As Provided).
AnmerkungenAthabasca University. 1200, 10011 - 109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-421-2536; Fax: 780-497-3416; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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