Cited by 358Online and Blended LearningEducational Technology and E-LearningOnline Learning and Analytics

Changes in Student Motivation During Online Learning

Kim, Kyong-Jee, Frick, Theodore W.·2011·Journal of Educational Computing Research

Abstract

Self-directed e-learning (SDEL) refers to electronic learning environments where there are often no peer learners or instructors regularly available. Past studies suggest that lack of time and lack of motivation are primary causes of learner attrition in online settings. However, little is known about what influences motivational change during SDEL. We surveyed 368 adult learners from both higher education and corporate settings who had used commercial SDEL products. Results from stepwise regression analysis indicated that the best predictors of motivation to begin SDEL were perceived relevance, reported technology competence, and age. The best predictors of motivation during SDEL were perceived quality of instruction and learning (e-learning is right for me) and motivation to begin. Motivation during SDEL was the best predictor of positive change in motivation, which in turn predicted learner satisfaction with SDEL. Instructional design principles for sustaining learner motivation in SDEL are identified from the findings of the present study.

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References 85 · Cited by 358

Authors
Kim, K.-J., & Frick, T. W.
Affiliations
  • Sungkyunkwan University (KR)
  • Indiana University Bloomington (US)
Corresponding author
Kim, Kyong-Jee
Venue
Journal of Educational Computing Research
Published
2011-01
Volume
44
Issue
1
Pages
1-23
ISSN
  • 0735-6331 (ISSN-L)
  • 1541-4140
OpenAlex
W2080396626
Cited by
358
References
85
Citations by year
2026: 4 · 2025: 20 · 2024: 26 · 2023: 54 · 2022: 60 · 2021: 72 · 2020: 28 · 2019: 16 · 2018: 14 · 2017: 21 · 2016: 10 · 2015: 12 · 2014: 10 · 2013: 5 · 2012: 4
FWCI
32.33
Type
journal article
Language
en
Open access
closed
Locations
Journal of Educational Computing Research (publishedVersion)
Topics
  • Social Sciences › Education › Online and Blended Learning
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
student motivation, motivational change, online learning, learner attrition, perceived relevance, technological competence, student satisfaction, teaching principles, adult learners, corporate training

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