\input zb-basic
\input zb-matheduc
\iteman{ZMATH 2012b.01145}
\itemau{Juang, Shue-Tien; Lin, Chien-Chung; Chu, Yao-Ming; Fang, Rong-Jyue; Chang, Sung-Shan}
\itemti{Study of web-based learning and auxiliary training with vocational college students in applied technology acceptance model.}
\itemso{Chen, Shengyong (ed.) et al., New advances in multimedia systems and signal processing. Proceedings of the 10th WSEAS international conference (MUSP '10), Hangzhou, Chinaa, April 11--13, 2010. Athens: World Scientific and Engineering Academy and Society (WSEAS) (ISBN 978-960-474-177-9/CD-ROM; 978-960-474-176-2/hbk). Electrical and Computer Engineering Series. A Series of Reference Books, 143-149 (2010).}
\itemab
Summary: This study proposes the theories of the electronic learning and technology acceptance model to help promote acceptance rate of web-based learning and auxiliary training for technical and vocational college students. The study discusses the external factors, perceived ease of use, perceived usefulness, satisfaction toward E-learning tools and intention of use. A survey was conducted with technical and vocational college students, and 400 effective samples were received. The findings are as follows: 1. The perceived ease of use shows positive correlations with \lq\lq frequency of internet use'' and \lq\lq function and interaction of web-based learning''. 2. The perceived usefulness shows positive correlations with \lq\lq frequency of internet use'' and \lq\lq function and interaction of web-based learning''. 3. The perceived ease of use has a positive correlation with the perceived usefulness. 4. The perceived ease of use shows positive correlations with outcomes of using E-learning tools, content of E-learning tools and overall satisfaction. 5. The perceived usefulness has a positive correlation with the intention of use. 6. The intention of use shows positive correlations with outcomes of using E-learning tools, content of E-learning tools and overall satisfaction. 7. The perceived usefulness and overall satisfaction of using E-learning tools have a significant effect on intention of use with a predicted loading of 47.7\%. Intention of use and overall satisfaction are the most influential factors. Therefore, the research suggests special emphasis on the enhancements of learners' self-efficacy on the internet and of the interaction between the instructor and the student body in activities. The options of web-based learning and auxiliary training can make this process more flexible, and thus the features of E-learning and its goal can be maximized.
\itemrv{~}
\itemcc{U50}
\itemut{technology acceptance model (TAM); web-based learning; auxiliary training; vocational college students}
\itemli{}
\end