Abstract
This study examined the relationship between computer self-efficacy and learning performance and investigated learning engagement as a mediator of this relationship. The theoretical background is a combination of the conservation of resources (COR) theory and a theoretically extended job demands–resources model (JD-R model) proposed by Crawford, LePine, and Rich (2010). A daily diary design was carried out with 121 late-middle- and old-aged job seekers attending 10 computer cram schools. Participants completed a baseline questionnaire, seven daily diary questionnaires, and seven daily end-of-class computer skills examinations over the course of 1 week (N = 121∗7 = 847 occasions). The results of multi-level analyses showed that 1) computer self-efficacy is positively related to learning performance, 2) computer self-efficacy is positively related to learning engagement, 3) learning engagement is positively related to learning performance, and 4) learning engagement fully mediates the relationship between computer self-efficacy and learning performance. The theoretical contributions, research limitations, implications for future research, and practical implications of this study are discussed.
Original language | English |
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Pages (from-to) | 362-370 |
Number of pages | 9 |
Journal | Computers in Human Behavior |
Volume | 72 |
Early online date | 7 Mar 2017 |
DOIs | |
Publication status | Published - Jul 2017 |
Keywords
- Computer self-efficacy
- Conservation of resources (COR) theory
- Job demands–resources model (JD-R model)
- Learning engagement
- Learning performance
ASJC Scopus subject areas
- Arts and Humanities (miscellaneous)
- Human-Computer Interaction
- General Psychology