Perceptions of learning management system quality, satisfaction, and usage
Differences among students of the arts
Bibliographic Data
| ID | 19514768 |
|---|---|
| Authors | Joyce Hwee Ling Koh (0000-0001-5626-4927), Joyce Hwee Ling Hwee Ling (University of Otago), Rebecca Y P Kan (0000-0001-7634-5812, Nanyang Academy of Fine Arts) |
| Year | 2020 |
| Pages | 26-40 |
| Publication date | 2020-01-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Australasian Journal of Educational Technology (JOURNAL) |
| Journal identifiers | ISSN: 1449-3098 • E-ISSN: 1449-5554 |
| Publisher | Australasian Society for Computers in Learning in Tertiary Education (PUBLISHER • NZ) |
| DOI | 10.14742/ajet.5187 |
| OpenAlex | W3004031995 |
| Language | EN |
| Citations received | 10 |
| References cited | 5 |
The model of information system success has been used to evaluate students’ satisfaction with the system quality, information quality, and service quality of learning management systems. This study extends the model by considering the pedagogical dimensions of instructional quality, learning quality, and interaction quality as well as how perceived usage frequency influences students’ quality perceptions. Through a sample of 376 higher education students, this study validated a five-factor quality structure for the evaluation of learning management systems with respect to the perceptions of students of the arts. Regression analyses showed differences among the quality factors that predicted satisfaction for arts students perceiving infrequent, average frequency, and frequent use. Although the quality of instructional experiences predicted satisfaction for all student groups, information quality significantly predicted satisfaction for only infrequent and average frequency users. System quality was a significant predictor of satisfaction for only average frequency and frequent users, whereas only frequent users perceived the quality of learning outcomes to be a significant predictor of satisfaction. The theoretical, instructional, and institutional implications for higher education institutions are discussed
Business · Higher education · Information quality · Information system · Learning Management · Mathematics education · Medical education · Perception · Service quality · Applied Psychology · Engineering · Knowledge Management and Sharing · Medicine · Online and Blended Learning · Psychology · Technology Adoption and User Behaviour · Marketing
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| Citations per year | 2 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |