| Summary: | 博士 === 國立臺北教育大學 === 課程與教學研究所 === 106 === Using mobile technology in the process of learning is crucial nowadays. Mobile learning invarious countries is also developed; however, the competencies self-efficacy of students and theinfluencing factors of it in the mobile learning context haven’t clarified. The purpose of this paper is to construct and analyze the structure and scale of the Mobile Learning Self-Efficacy (MLSE) and mobile learning readiness (MLR) for learners to understand the perceptions of primary and secondary students who have received mobile learning in school. The effects of participation in mobile learning, social influence, and using behaviors of mobile devices on the mobile learning readiness is discussed, and the effects of mobile learning readiness, participation in mobile learning, social influence and the using behaviors of mobile devices on the mobile learning self-efficacy is explored. The path analysis model of the mobile learning self-efficacy is further established.
To answer the research questions, a questionnaire survey was used. 165 and 189 primary and secondary learners in Taiwan who have received mobile learning are the pretesting samples of the scale of MLSE and MLR respectively, and then 943 students of primary and secondary school in Taiwan who received mobile learning as the samples of formal scale. The statics methods of MANOVA, correlation analysis, multiple stepwise regression analysis and path analysis were used. The result shows:
1. The scales of MLSE and MLR have good reliability and validity.
2. The models of MLSE and MLR have a good fit between the theory framework and data.
3. Social influence, participation in mobile learning and using behaviors of mobile devices are affected the MLR significantly.
4. Participation in mobile learning, using behaviors of mobile devices, and Mobile Learning Readiness affected the mobile learning self-efficacy significantly.
5. The model of the path analysis on the factors of the mobile learning self-efficacy has a good fitness.
According to the result, the recommendations have been proposed.
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