Giải thích mức độ tham gia học trực tuyến của sinh viên Trường Đại học Nha Trang bằng việc vận dụng Mô hình chấp nhận công nghệ mở rộng (Extended Technology Acceptance Model - ETAM)
Tóm tắt
Technology Acceptance Model (TAM) has been widely used in recent time as a means of predicting the extent to which new technologies will be adopted in the field of information systems. The paper studies on adjusting TAM model with extended variables including: efficiency and anxiety using computers and variables in the original TAM model to explain online learning behavior of students at the University of Dentistry. The results of this study have demonstrated the predictive ability of the extended TAM in discovering the online learning behavior of students at Nha Trang University in the context of online learning in Vietnam. From there, it helps educational institutions in general and Nha Trang University in particular pay attention to factors on the part of learners to improve the level of online learning participation and further enhance the implementation of online learning in higher education curricula.
Tài liệu tham khảo
Arbaugh, J. B., Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses - An exploratory study of two on-line MBA programs. Management Learning, 33(3), 331-347.
Compeau, D. R., Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158.
Chen, M. F. (2016). Extending the theory of planned behavior model to explain people's energy savings and carbon reduction behavioral intentions to mitigate climate change in Taiwan-moral obligation matters. J. Clean. Prod, 112(2), 1746-1753.
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Fishbein, M., Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gao, L., Wang, S., Li, J., Li, H. (2017). Application of the extended theory of planned behavior to understand individual's energy saving behavior in workplaces. Resour. Conserv. Recycl, 127, 107-113.
Hair, J. F., Hult, G. T. M., Ringle, C., Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications.
Hair, J. F., Rishes. J. J., Sarstedt, M., Ringle, C. M. (2019). When to use and how to report the result of PLS-SEM: Sage Publications.
Hsu, C. L., Lu, H. P. (2004). Why do people play online games? An extended TAM with social influences and flow experience. Information and Management, 41, 853-868.
Katz, Y. J. (2000). The comparative suitability of three ICT distance learning methodologies for college level instruction. Educational Media International, 37(1), 25-30.
Katz, Y. J. (2002). Attitudes affecting college students’ preferences for distance learning. Journal of Computer Assisted Learning, 18, 2-9.
Li, J., Zuo, J., Cai, H., Zillante, G. (2018). Construction waste reduction behavior of contractor employees: an extended theory of planned behavior model approach. J. Clean. Prod, 172, 1399-1408.
Masrom, M. (2007). Technology Acceptance Model and E-learning, 12th International Conference on Education. Sultan Hassanal Bolkiah Institute of Education University Brunei Darussalam.
Piccoli, G., Ahmad, R., Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skill training. MIS Quarterly, 25(4), 401-426.
Pituch, K. A., Lee, Y. K. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47, 222-244.
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., Yeh, D. (2008). What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183-1202.
Trentin, G. (1997). Telematics and online teacher training: the POLARIS project’. Journal of Computer Assisted Learning, 13, 261-270.
Volery, T., Lord, D. (2000). Critical success factors in online education. The International Journal of Educational Management, 14(5), 216-223.
Đã Xuất bản
Cách trích dẫn
Số
Chuyên mục
Giấy phép
Tác phẩm này được cấp phép theo Ghi nhận tác giả của Creative Commons Giấy phép quốc tế 4.0 .