The purpose of this study was to investigate the structural relationships among smart learning acceptance factors for preservice teachers in South Korea. The research model based on the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model. The model suggested the determinants of smart learning acceptance including Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Hedonic Motivation and Attitude. For this research, 206 preservice teachers answered the off-line survey in Seoul, Korea. During 2 weeks of data collection, descriptive and correlation analysis were done as well as the structural equation modeling analysis to validate the model and analyze the causal relationship among variables. The implications of this study and suggestions for the future research will be discussed in the conference.
Bibliographical notePublisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.
- Behavioral intention
- Pre-service teacher
- Smart learning