Research On Influence Factors Of University Student’s Willingness Of Mobile Learning Base On TAM

In recent years, mobile learning has become the focus of academic research and has made greatachievements. However, the success of any information system applications is not only relying onthe technology itself, and more rely on user acceptance and experience, and the continued use ofother aspects. Currently experts are more concerned about mobile learning system itself, theacceptance and adoption of mobile learning combined analysis of user attitudes and user behavior isstill relatively small, and very comprehensive. One of the challenges currently facing is how to getthe learners to accept and continue to use this approach to learning.This paper is aimed at this shortcoming; the author uses a specific method which combinestheoretical analysis with empirical research. In-depth understanding of mobile learning andtechnology acceptance model, on this basis the author select college students as research subjectsand build a model of college acceptance factors of mobile learning. The author investigates the1200different professions, different grades of college students. According to the validity of theassumptions made in data model finally, the main conclusions are drawn as follows:(1) Demonstrate the validity of the theoretical model. Extended model of technology acceptancemodel itself is a major innovation, reveals the factors that affect college acceptance of mobilelearning, expanding the adoption of the theoretical system. The results not only validated theTAM model, but also extend the TAM model in the field of M-learning. But its core variables:Perceived Usefulness and Perceived Ease of use influence on behavioral intentions havedifferent degrees of decline.(2) Data demonstrate the direct or indirect effects of new variables on behavioral intentions. Thenew variables include Individual Innovation, Immersive Experience, Subjective Norms,Learning Resources, Perceived Cost, Self-learning Management."Individual Innovation" is thebiggest influence on behavioral intention factor. By the group structure equation model analysisfound that: Gender, Grade don’t have regulatory role on Perceived Usefulness, Perceived Ease,Subjective Norms, Individual Innovation. Confirmed that a two-way mechanism perceived costimpact on behavior intention, is a major innovation of this study.(3) Combined research findings for the development of mobile learning suggestions with theoreticaland practical value. Such as improve the quality of learning resources, changing roles of teachersand students, improve standardization, form a chain and so on.