Ngo My Tran * , Thach Keo Sa Rate and Nguyen Ngoc Thao

* Corresponding author (nmtran@ctu.edu.vn)

Main Article Content

Abstract

This study is conducted to assess the impact of using E-learning on students’ learning outcomes through combining models of technology acceptance model (TAM) and an information system success model (D&M model) basing on surveyed data from 294 students using E-learning system in Can Tho university. The main method used to evaluate this impact is structural equation model analysis method (SEM). The empirical results showed that perceived learning outcome is statistically influenced by three factors including learning assistance, community building assistance and perceived motivation. Of which, the community building assistance factor was found to play a strong role of students’ perceived learning outcome. Therefore, building solutions to develop of perceived motivation and community building assistance of the system in order to improve E-learning usage in Can Tho university should be paid attention in the coming time.
Keywords: E-learning systems, learning outcomes, D&M model, technology acceptance model

Article Details

References

Ajzen, H. and Fishbein, M., 1980. Understanding attitudes and predicting social behavior. Prentice - Hall. New York, 278 pages.

Alkhalaf, S.; Drew, S. and Alhussain, T., 2012. Assessing the impact of e-learning systems on learners: A survey study in the KSA. Procedia-Social and Behavioral Sciences. 47: 98-104.

Castillo-Merino, D. and Serradell-López, E., 2014. An analysis of the determinants of students’ performance in e-learning. Computers in Human Behavior. 30: 476-84.

Chang, Y. P. and Zhu, D. H., 2012. The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China. Computers in Human Behavior. 28(3): 995-1001.

Cho, H.; Gay, G.; Davidson, B. and Ingraffea, A., 2007. Social networks, communication styles, and learning performance in a CSCL community. Computers & Education. 49(2): 309-29.

Chua, Y. P. and Don, Z. M., 2013. Effects of computer-based educational achievement test on test performance and test takers’ motivation. Computers in Human Behavior. 29(5): 1889-95.

Coleman, J. S., 1988. Social capital in the creation of human capital. American Journal of Sociology. 94 (supplement): S95-S120.

Davis, F. D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 319-40.

DeLone, W. H. and McLean, E. R., 1992. Information systems success: The quest for the dependent variable. Information Systems Research. 3(1): 60-95.

Deng, L. and Tavares, N. J., 2013. From Moodle to Facebook: Exploring students' motivation and experiences in online communities. Computers & Education. 68: 167-76.

Gefen, D. and Straub, D. W., 2000. The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the Association for Information Systems. 1(1): 1-30.

Hassanzadeh, A.; Kanaani, F. and Elahi, S., 2012. A model for measuring e-learning systems success in universities. Expert Systems with Applications. 39(12): 10959-66.

Huet, N.; Escribe, C.; Dupeyrat, C. and Sakdavong, J.-C., 2011. The influence of achievement goals and perceptions of online help on its actual use in an interactive learning environment. Computers in Human Behavior. 27(1): 413-20.

Igbaria, M.; Zinatelli, N.; Cragg, P. and Cavaye, A. L., 1997. Personal computing acceptance factors in small firms: a structural equation model. MIS Quarterly. 279-305.

Islam, A. N., 2013. Investigating e-learning system usage outcomes in the university context. Computers & Education. 69: 387-99.

Keil, M.; Beranek, P. M. and Konsynski, B. R., 1995. Usefulness and ease of use: field study evidence regarding task considerations. Decision Support Systems. 13(1): 75-91.

Leidner, D. E. and Jarvenpaa, S. L., 1995. The use of information technology to enhance management school education: A theoretical view. MIS Quarterly. 265-91.

Liaw, S.-S.; Huang, H.-M. and Chen, G.-D., 2007. An activity-theoretical approach to investigate learners’ factors toward e-learning systems. Computers in Human Behavior. 23(4): 1906-20.

Lim, H.; Lee, S.-G. and Nam, K., 2007. Validating E-learning factors affecting training effectiveness. International Journal of Information Management. 27(1): 22-35.

Liu, Y.; Li, H. and Carlsson, C., 2010. Factors driving the adoption of m-learning: An empirical study. Computers & Education. 55(3): 1211-19.

McGill, T. J. and Klobas, J. E., 2009. A task–technology fit view of learning management system impact. Computers & Education. 52(2): 496-508.

Mohammadi, H., 2015. Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior. 45: 359-74.

Ortiz, M. G. R.; Hoyos, J. R. C. and López, M. G. R., 2004. The social networks of academic performance in a student context of poverty in Mexico. Social networks. 26(2): 175-88.

Ozkan, S. and Koseler, R., 2009. Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education. 53(4): 1285-96.

Ryan, R. M. and Deci, E. L., 2000. Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology. 25(1): 54-67.

ŠUmak, B.; HeričKo, M. and PušNik, M., 2011. A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior. 27(6): 2067-77.

Valtonen, T.; Hacklin, S.; Kontkanen, S.; Hartikainen-Ahia, A.; Kärkkäinen, S. and Kukkonen, J., 2013. Pre-service teachers' experiences of using social software applications for collaborative inquiry. Computers & Education. 69: 85-95.

Vandewaetere, M. and Clarebout, G., 2011. Can instruction as such affect learning? The case of learner control. Computers & Education. 57(4): 2322-32.

Wang, M. and Kang, M. 2006. "Cybergogy for engaged learning: A framework for creating learner engagement through information and communication technology. In: Hung D., Khine M.S. (Eds) Engaged Learning with Emerging Technologies. Springer. Dordrecht, pp. 225-53.

Zhao, L.; Lu, Y.; Wang, B.; Chau, P. Y. and Zhang, L., 2012. Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective. International Journal of Information Management. 32(6): 574-88.