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Understanding the impact of quality elements on MOOCs continuance intention
1School of Business and Management, Shanghai International Studies University, No.550, West Dalian Road, Shanghai, 200083 China.
Education and Information Technologies
|May 2, 2022
Summary
Improving teaching and platform quality in Massive Open Online Courses (MOOCs) enhances student engagement and trust, ultimately reducing dropout rates and increasing learning continuation.
Area of Science:
- Educational Technology
- Information Systems
Background:
- High dropout rates in Massive Open Online Courses (MOOCs) are a critical concern for researchers and practitioners.
- Understanding factors influencing learner continuance intention is essential for improving online education effectiveness.
Purpose of the Study:
- To investigate the impact of teaching-based and platform-based quality on MOOC continuance intention.
- To examine the mediating roles of Task Technology Fit, confirmation, flow theory, and trust in this relationship.
Main Methods:
- An online questionnaire survey was administered to 555 university students who had participated in MOOCs.
- Partial Least Square Structural Equation Modeling (PLS-SEM) was employed to analyze the data.
Main Results:
- Teaching-based quality positively influences students' task technology fit and confirmation.
- Platform-based quality enhances confirmation and perceived value in MOOCs.
- Task technology fit, confirmation, and perceived value improve user experience, trust, and satisfaction, leading to higher continuance intention.
Conclusions:
- Both teaching and platform quality are crucial determinants of MOOC continuance intention.
- Enhancing quality elements can significantly improve learner engagement, satisfaction, and completion rates in online learning environments.
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