Exploring the structural relationships between course design factors, learner commitment, self-directed learning, and intentions for further learning in a self-paced MOOC

Dongho Kim, Eulho Jung, Meehyun Yoon, Yunjeong Chang, Sanghoon Park, Dongsim Kim, Fatih Demir

Research output: Contribution to journalArticlepeer-review

97 Scopus citations

Abstract

The open and massive characteristics of Massive Open Online Course (MOOC) lead to a lack of instructor presence, which potentially hinders learners' commitment and learning processes. As a result, the effectiveness of MOOCs is contingent upon the extent to which learners direct their own learning. However, learners' self-directed learning and commitment are largely influenced by course design factors due to lack of direct learner-instructor interactions. In order to address the current gap in the literature with regard to how course design factors influence learning processes and outcomes, this study investigated the relationships between MOOC design factors, learner commitment, self-directed learning, and intentions for future learning, using survey responses collected from 664 learners who took a large-scale MOOC. We found that the transactional distance between learners and content was associated with students' self-directed learning. Course structure and organization predicted both students' self-directed learning and commitment to the MOOC. Importantly, self-directed learning mediated relationships between the course design factors and learners’ intentions for further learning. Based on our findings, we provide design strategies for effective learner-content interaction in large-scale self-paced MOOCs.
Original languageAmerican English
JournalComputers and Education
Volume166
DOIs
StatePublished - Jan 2021

Keywords

  • Continuance intention
  • Instructional design
  • Learner commitment
  • MOOC
  • Self-directed learning

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