Hot-Fit Model on E-Learning Success: Innovation and Quality Consciousness
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| Title: | Hot-Fit Model on E-Learning Success: Innovation and Quality Consciousness |
|---|---|
| Language: | English |
| Authors: | Muhammad Sofwan, Akhmad Habibi, Robin Pratama, Mohd Sofian Omar Fauzee, Hamdy Abdullah |
| Source: | Online Learning. 2026 30(1):175-198. |
| Availability: | Online Learning Consortium, Inc. P.O. Box 1238, Newburyport, MA 01950. Tel: 888-898-6209; Fax: 888-898-6209; e-mail: olj@onlinelearning-c.org; Web site: https://olj.onlinelearningconsortium.org/index.php/olj/index |
| Peer Reviewed: | Y |
| Page Count: | 24 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research Tests/Questionnaires |
| Education Level: | Elementary Education |
| Descriptors: | Electronic Learning, Learning Readiness, Elementary School Teachers, Teacher Education Programs, Computer Uses in Education, Self Efficacy, Innovation, Educational Quality, Teacher Attitudes, Knowledge Level, Information Systems, Models, Computer Literacy |
| ISSN: | 2472-5749 2472-5730 |
| Abstract: | The current research elaborates on the effect of the human organization technology fit model, which consists of human, organizational, and technological dimensions, on e-learning readiness in an elementary school teacher education program. The main dataset, comprising 416 student teachers, was analyzed using partial least squares structural equation modelling procedures. The study tested hypotheses linking various factors to e-learning readiness and usage. Statistically significant results demonstrated that knowledge (p = 0.008), relative advantage (p < 0.05), compatibility (p < 0.05), complexity (p < 0.001), quality (p < 0.05), and innovation awareness (p < 0.05) significantly affect e-learning readiness and actual use of e-learning. Specifically, knowledge, relative advantage, compatibility, quality, and innovation awareness exhibit positive impacts, whereas complexity exerts a negative influence. Conversely, the findings indicated no significant relationships (p > 0.05) between certain correlations, such as computer self-efficacy and e-learning readiness, innovation and actual use of e-learning, and quality and actual use of e-learning. The findings contribute to the development of e-learning, providing practical and theoretical recommendations for its improvement regarding sustainable development goal 4, quality education. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1508217 |
| Database: | ERIC |
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