Students' satisfaction and continuance intention of the cloud-based e-learning system: roles of interactivity and course quality factors

• Published in: Education & training (London) Vol. 62; no. 9; pp. 1037 - 1059
• Main Author: Cheng, Yung-Ming
• Format: Journal Article
• Language: English
• Published: London Emerald Publishing Limited 21.11.2020; Emerald Group Publishing Limited
• Subjects: Academic Persistence; Cloud computing; Colleges & universities; Course Content; Distance learning; Educational Quality; Educational Resources; Educational Technology; Electronic Learning; Foreign Countries; Hypotheses; Information Storage; Instructional Design; Integrated Learning Systems; Intention; Interaction; Learning Processes; Multivariate statistical analysis; Online instruction; Perceptions; Q factors; Questionnaires; Structural equation modeling; Student Satisfaction; Students; Success; Technology Acceptance Model; Undergraduate Students; Value Judgment; Young Adults; Taiwan; Course content quality; Continuance intention; Structural equation modeling; Satisfaction; Course design quality; Interactivity; Expectation-confirmation model; The cloud-based electronic learning system
• ISSN: 0040-0912; 1758-6127
• DOI: 10.1108/ET-10-2019-0245

PurposeThe purpose of this study is to propose a research model based on expectation-confirmation model (ECM) to examine whether interactivity and course quality factors (i.e. course content quality, course design quality) as antecedents to student beliefs can influence students' satisfaction and continuance intention of the cloud-based electronic learning (e-learning) system within the educational institution.Design/methodology/approachSample data were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 515 (85.8%) useable questionnaires were analyzed using structural equation modeling.FindingsFindings showed that students' perceptions of interactivity, course content quality and course design quality positively significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, which in turn directly or indirectly led to their continuance intention of the system. Thus, the results strongly supported the research model based on ECM via positioning key constructs as the drivers with all hypothesized links being significant.Originality/valueThis study identifies three factors (i.e. interactivity, course content quality, course design quality) as drivers from the learner perspective within the cloud-based e-learning environment, and links these factors to students' satisfaction and continuance intention of the cloud-based e-learning system based on ECM. It is particularly worth mentioning that the three drivers can serve as precursors for recognizing the determinants that are crucial to understand students' satisfaction and continuance intention of the cloud-based e-learning system. Hence, this study may provide new insights in nourishing the cloud-based e-learning continuance literature in the future.