The Success of Massive Open Online Courses (MOOCs): An Investigation on Course Relevance

Ying Wang, Jaeki Song

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

MOOCs have provided online learners easy access to education for professional development, helping them acquire new skills to advance their careers during the pandemic. However, the importance of linking MOOCs with job market demands has not been explored in the existing literature. This study investigates the role of course relevance in MOOC success by examining the effect of the alignment between courses and job market demands on learner satisfaction. By adopting the DeLone & McLean information system success model as a framework, we propose that course relevance positively influences learner satisfaction. This relationship is moderated by course level and accessibility. We tested our model using information about 1,987 MOOCs and 485 job postings. The results show that learners will be more satisfied with courses if instructors enhance course relevance on trending topics. The effect of relevance is greater for advanced courses and magnified by lifetime accessibility. This paper contributes to MOOC research from three perspectives: 1) it examines the role of course relevance in MOOC success; 2) it points out the importance of considering learners’ characteristics in evaluating MOOC success; 3) it provides valuable guidance on course design, which helps course providers maintain the prosperity of MOOCs in the post-pandemic.

Original languageEnglish
Article number40
JournalCommunications of the Association for Information Systems
Volume51
Issue number1
DOIs
StatePublished - 2022

Keywords

  • Business Analytics
  • Course Relevance
  • Learner Satisfaction
  • MOOCs
  • Online Learning
  • Topic Modeling

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