Chinese MOOC learners’ satisfaction and continuance intention: A mixed-method study

  • Xieling CHEN
  • , Di ZOU*
  • , Gary CHENG
  • , Haoran XIE
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Drawing on the technology acceptance model (TAM), self-determination theory (SDT), expectation-confirmation model (ECM), and massive open online courses (MOOCs) design effects, the present work introduced a conceptual model for understanding the fine-grained mechanism underlying learner satisfaction and continuance intention. A structural equation modelling analysis based on 168 MOOC learners’ survey data showed that perceived usefulness positively affected satisfaction and continuance intention. Assessment and autonomous motivation positively affected continuance intention; expectation confirmation significantly influenced perceived usefulness and satisfaction. By providing empirical evidence about affecting factors relating to learners’ satisfaction and continuance intention, this study shows valuable managerial insight into MOOC design.
Original languageEnglish
Pages (from-to)297-330
Number of pages34
JournalKnowledge Management & E-Learning: An International Journal
Volume17
Issue number2
DOIs
Publication statusPublished - 4 Jun 2025

Bibliographical note

Publisher Copyright:
© 2025 Hong Kong Bao Long Accounting And Secretarial Limited. All rights reserved.

Funding

This research is supported by the National Natural Science Foundation of China (No. 62307010) and the Philosophy and Social Science Planning Project of Guangdong Province of China (Grant No. GD24XJY17).

Keywords

  • Learner satisfaction
  • Continuance intention
  • Structural equation modelling
  • MOCC design

Fingerprint

Dive into the research topics of 'Chinese MOOC learners’ satisfaction and continuance intention: A mixed-method study'. Together they form a unique fingerprint.

Cite this