JOURNAL ARTICLE

Learner Satisfaction with Massive Open Online Courses

Bahaa G. Gameel

Year: 2017 Journal:   American Journal of Distance Education Vol: 31 (2)Pages: 98-111   Publisher: Taylor & Francis

Abstract

This study investigates factors that influence learners’ satisfaction with massive open online courses (MOOCs). Framed by the theory of independent learning and teaching, the three types of interaction model, and the technology acceptance model, this study analyzed data collected from 1,786 learners enrolled in four MOOCs. Results show that the learner perceived usefulness, teaching and learning aspects of the MOOC, and learner-content interaction as important satisfaction factors. Learner-learner interaction and learner-instructor interaction had no effect on the sample’s learner satisfaction with the MOOC. These findings improve our understanding of MOOC learners’ preferences and contribute to the process of designing and developing new MOOCs. Future directions in MOOCs’ development are also discussed.

Keywords:
Sample (material) Massive open online course Mathematics education Computer science Distance education Process (computing) Psychology Online learning Educational technology Multimedia

Metrics

86
Cited By
19.21
FWCI (Field Weighted Citation Impact)
41
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Online Learning and Analytics
Physical Sciences →  Computer Science →  Computer Science Applications
Online and Blended Learning
Social Sciences →  Social Sciences →  Education
E-Learning and COVID-19
Social Sciences →  Social Sciences →  Education

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