E-Learning Initiatives In E-Ducating Student Teachers

Vincent Pang, Lee Kean Wah, Tan Choon Keong, Shukery Mohamed

Abstract


This paper reports a study of online learning at the School of Education and Social Development, Universiti Malaysia Sabah. It focused on the context of implementation and student perception on online learning in the school. The study involved 324 undergraduate students across all levels of study in the school. A questionnaire was used to collect data about their perception on the readiness of the school, the extent to which online learning was carried out, the opportunities and limitations of the learning mode, and student perception on online learning as a whole. Quest (Adams & Khoo, 1996), an interactive computer item analysis software, was used for data analysis. It was found that online learning helped to supplement the quality of teaching and learning. The students found that online learning was not only helpful, but also enjoyable and exciting. Online learning was perceived to be a better learning experience compared to face-to-face learning. It also helped students to take more initiative in their learning and development compared to the conventional classes. However, the school needs to improve the infrastructure and facilities of ICT for more effective use of online learning for the future.

Full Text:

PDF

References


Adams, R. J., & Khoo, S. T. (1996). Quest: The interactive test analysis system. Melbourne, Australia: Australia Council for Educational Research.

Al-Kodmany, K., George, R. V., Marks, A., and Skach, J. (1999). A case study of

teaching an urban design course on two campuses simultaneously.

Asynchronous Learning Networks Magazine, 3(1), 1999.

Beller, M. (2003). The Crossroads between Lifelong Learning and Information

Technology Challenge Facing Leading Universities, JCMC 4 (2) December

Brush, T.A. (1997). The effects on students achievement and attitudes when using

Integrated Learning Systems with cooperative pairs. In: Journal of educational

Technology Research and Development. Vol 45(1). p 51-64.

Carver, R. P. (1993). The case against statistical significance testing: Revisited. Journal of Experimental Education, 61(4), 287-292.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989) User acceptance of computer

technology: A comparison of two theoretical models. Management Science, 35,

-1003.

Eastmond, D. V. (1995). Alone but together: Adult distance study through computer

conferencing. New York: Basic Books.

Glass, G.V., McGaw, B., & Smith, M. L. (1981). Meta analysis in social research. London, U.K.: SAGE.

Hambleton, R. K., & Swaminathan, H. (1985). Item response theory. Principles and applications. Boston: Kluwer-Nijhoff.

Harashim, L., Hiltz, S.R., Teles, L., & Turoff, M. (1995). Learning networks: A field

guide to teaching and learning online. Cambridge, MA: MIT Press.

Hill, J. R. (1977). Distance learning environments via the World Wide Web. In B. H.

Khan (Ed.) Web- Based instruction (pp.75-80). Englewood Cliffs,

NY:Educational Technology Publications.

Hiltz, S.R. (1986). The virtual classroom: Using computer-mediated communication

for university teaching. Journal of Communication, 36(2), 95-104

Hiltz, S.R. (1990). Collaborative learning: The virtual classroom approach.

Technological Horizons in Education Journal, 17 (10), 59-65.

Hunter, J. E., Schmidt, F. L., & Jackson, G. B. (1982). Meta-Analysis: Cumulating research findings across studies. Beverly Hills, CA: Sage.

Kok, T. (1989). Effects of individual and pair use of Computer-Aided Instruction on achievement and attitudes. (Dissertation). Education Faculty. University of Malaya. p 1-28

Mayadas, F. (1997). Asynchronous learning networks: A Sloan foundation perspective.

Journal of Asynchronous Learning Networks, 1(1).

Webster, J., and Hackley, P. (1997). Teaching effectiveness in technology-mediated

Distance learning. The Academy of Management Journal, 40(6), 1282-1309.

Wright, B. D., & Masters, G .N. (1982). Rating scale analysis: Rasch measurement. Chicago: MESA Press.

Zoltan, E., and Chapanis, A. (1982). What do professional persons think about

computers. Behavior and Information Technology, 1, 55-68.


Refbacks

  • There are currently no refbacks.


 

 

 

eISSN : 2550-2131

ISSN : 1675-8021