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Usability factors predicting continuance of intention to use cloud e-learning application.
Lillian-Yee-Kiaw Wang1, Sook-Ling Lew1, Siong-Hoe Lau1
1Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka, Malaysia.
Heliyon
|June 15, 2019
Summary
Computer self-efficacy and enjoyment are key drivers for students continuing to use cloud e-learning. Other usability factors like perceived ease of use were not significant predictors in this study.
Area of Science:
- Educational Technology
- Human-Computer Interaction
- Cloud Computing
Background:
- Conventional e-learning methods struggle to meet higher education demands.
- Cloud computing offers a flexible, scalable solution for e-learning.
- Research on usability factors predicting continuance intention in cloud e-learning is limited.
Purpose of the Study:
- To investigate the usability factors influencing students' intention to continue using cloud e-learning applications.
- To identify key predictors of continuance intention in cloud e-learning environments.
Main Methods:
- A survey was conducted with 170 IT students in Malaysia over one trimester.
- Five usability factors were analyzed: Computer Self Efficacy (CSE), Enjoyment (E), Perceived Ease of Use (PEU), Perceived Usefulness (PU), and User Perception (UP).
- Data were analyzed using SMARTPLS 3.0 with a 30-question questionnaire.
Main Results:
- Computer self-efficacy and enjoyment significantly predicted continuance intention.
- Perceived ease of use, perceived usefulness, and user perception were found to be insignificant predictors.
- Intrinsic motivations (CSE and E) are crucial for sustained use of cloud e-learning.
Conclusions:
- Computer self-efficacy and enjoyment are vital for students' willingness to continue using cloud e-learning.
- Implications are significant for educational technology researchers and practitioners in higher education.
- Focusing on enhancing student self-efficacy and the enjoyment of cloud e-learning is recommended.