Factors Engaging College Students in Online Learning
An Investigation of Learning Stickiness
Bibliographic Data
| ID | 4182199 |
|---|---|
| Authors | Aixia Li (0000-0002-4210-9982, East China Normal University), A Y M Atiquil Islam (0000-0002-5430-8057, East China Normal University), Xiaoqing Gu (0000-0001-8256-5408, East China Normal University, corresponding author) |
| Year | 2021 |
| Volume | 11 |
| Issue | 4 |
| Publication date | 2021-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/21582440211059181 |
| OpenAlex | W3215495332 |
| Language | EN |
| Citations received | 4 |
| References cited | 50 |
This study extended the Expectancy Confirmation model (ECM) to examine the factors that influence online learning stickiness. The structural equation modeling was used to reveal the relationships among the factors through a survey of 395 online consumers. The findings indicate that learning stickiness was significantly impacted by switching cost and satisfaction. Learners' perceived usefulness, perceived interactivity, and expectation confirmation have a significant effect on their satisfaction. Furthermore, learners' perceived usefulness was significantly influenced by their perceived interactivity and expectation confirmation. The results of this research also provide sustainable development directions for online platforms, such as the quality of curriculum design and the level of interaction between curriculum platforms
Business · Computer-assisted web interviewing · Curriculum · Expectancy theory · Interactivity · Mathematics education · Multimedia · Online learning · Pedagogy · Perceived quality · Structural equation modeling · Applied Psychology · Computer Science · Customer Service Quality and Loyalty · Knowledge Management and Sharing · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing
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| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |