Antecedents to Effective E-Learning among Selected Secondary Schools in Malaysia
Keywords:
e-learning, education, learning management system, secondary education
Abstract
As the e-learning technology continued to evolve, targeting antecedents to it effectiveness in Malaysia can be a prerequisite to increasing the success rate of this initiative. Students use e-learning for their schooling activities, learn by accessing the elearning portal through teachers’ instruction and guidance. Even though, without better understanding of their need, expectation and the problem they encounter while using the e-learning system, sometimes difficult to make their learning become more effective. The study seek to investigate the antecedents that determine the effectiveness of e-learning in Malaysian secondary schools. Although there may exist many factors that are involved in determining the effectiveness of e-learning, this study focuses on the use, users satisfaction, perceived ease of use, perceived usefulness, delivery method, content quality, system quality and self-efficacy as the antecedents to effective e-learning. Information Systems Success model and Technology Acceptance Model (TAM) were used to determine the antecedence to effectiveness of e-learning among the students in secondary schools.
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Nigerian universities. Information Management and Computer Security, 14(5),
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Lai, T. L. (2004). Service quality and perceived value's impact on
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Petter, S., DeLone, W. & McLean, E. (2008). Measuring information
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Poon, Low & Yong (2004). Biggs, J. & Moore, P. The process of learning. (3
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Selim, H.M. (2007). Critical success factors for e-learning acceptance:
Confirmatory factor models. Computers & Education, 49(2), 396-413.
Shee, D. Y. & Wang, Y. S. (2008). Multi-criteria evaluation of the webbased
e-learning system: A methodology based on learner satisfaction and
its applications. Computers & Education, 50, 894–905.
Sitzmann, T., Katherine E. & Robert, W. (2008). Designing Web-based
Training Courses to Maximize Learning. Hershey, PA: IGA Global.
Venkatesh V. & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies. Management
Science, 4, 186-204.
Volery, T., & Lord, D. (2000). Critical success factors in online education.
The International Journal of Education Management, 14(5), 216 – 223.
Presented at the third seminar workshop of the 7th programming cycle of
APEID Activities.
Allen, E., & Jeff, S. (2006). Making the grade: Online Education in the United
States. Newburyport: The Sloan Consortium.
Anderson, J., & Gerbing, D. (1988). Structural equation modeling in
practice: A review and recommended two-step approach. Psychological
Bulletin, 103(3), 411–423.
Avery, R. D., Bouchard, T. J. Jr., Segal, N. L. & Abraham, L. M. (1989). Job
satisfaction: environmental and genetic components. Journal of Applied
Psychology, 74(2), 187-192.
Balogun, N. A. and Ahlan, A. R. (2014). Issues of e-learning in developing
countries: A Nigerian perspective. Proceedings of the 5th International
Conference on Information and Communication Technology for The Muslim
World (ICT4M 2014), 1-4. Published by IEEE Xplore./ SCOPUS Index.
Benson, L., Elliot, D. Grant, M., Holschuh, D., Kim, B., & Kim, H. (2002).
Usability and instructional design heuristics for e-Learning evaluation. P.
& S. (Eds.), Proceedings of World Conference on Educational Multimedia,
Hypermedia and Telecommunications (EDMEDIA) 1615−1621.
Chesapeake, VA: AACE.
Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C., & Sun, P. C. (2005).
Usability, quality, value and e-learning continuance decisions. Computers
& Education, 45, 399-416.
Compeau, D. and Higgins, C. (1995). Computer Self-Efficacy:
Development of a Measure and Initial Test. MIS Quarterly, 19 (2), 189-211.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user
acceptance of information technology. MIS Quarterly, 13(3), 319-340.
DeLone, W. H., & McLean, E. R. (2003). The Delone and McLean Model of
Information Systems Success: a ten-year update. Journal of Management
Information Systems, 19(4), 9-30.
Ellis, R.A., & Goodyear, P. (2010). Student experiences of e-learning: the
ecology of sustainable innovation. London: Routledge Falmer
Folorunso, O., Ogunseye, O.S., & Sharma, S.K. (2006). An exploratory
study of the critical factors affecting the acceptability of e-learning in
Nigerian universities. Information Management and Computer Security, 14(5),
496-505.
Fowler, F. J. Jr. (1993). Survey research methods ( 2nd ed.). Newbury: Sage
Publications.
Gefen, D. (2003). Gender differences in the perception and use of e-mail:
An extension to the technology acceptance model. MIS quarterly, 19(7),
389-400.
Ives, B., Olsen, M. & Baroudi, J. J. (1983). The measurement of user
information satisfaction. Communications of the ACM, 26(10), 785–793.
Lai, T. L. (2004). Service quality and perceived value's impact on
satisfaction, intention and usage of Short Message Service. Information
Systems Frontiers, 6(4), 353-368.
Lowenthal, P., & Wilson, B. G. (2010). Labels do matter! A critique of
AECT's redefinition
Ngai, E. W. T., Poon, J. K. L. & Chan,Y. H. C. (2007). Empirical
examination of the adoption of WebCT using TAM. Computers &
Education, 48(2), 250-267.
Nichols, M. (2003). A theory of eLearning. Educational Technology & Society,
6(2), 1−10.
Palanisamy, S., Ahlan, A. R. and Balogun, N. A. (2016): Factors
Determining Effectiveness of E-Learning in Secondary Schools. Proceedings
of the 1st International Conference of IEEE Nigeria Computer Chapter in
collaboration with Department of Computer Science, University of Ilorin,
Oluwade, B., Babatunde, A. O., & Faruk, N. (eds.) 215-222. Published by
Department of Computer Science, University of Ilorin, Ilorin, Nigeria.
IEEE xplore/ SCOPUS Index.
Petter, S., DeLone, W. & McLean, E. (2008). Measuring information
systems success: models, dimensions, measures, and interrelationships.
European Journal of Information Systems, 17, 236–263.
Poon, Low & Yong (2004). Biggs, J. & Moore, P. The process of learning. (3
ed). Australia: Prentice Hall.
Selim, H.M. (2007). Critical success factors for e-learning acceptance:
Confirmatory factor models. Computers & Education, 49(2), 396-413.
Shee, D. Y. & Wang, Y. S. (2008). Multi-criteria evaluation of the webbased
e-learning system: A methodology based on learner satisfaction and
its applications. Computers & Education, 50, 894–905.
Sitzmann, T., Katherine E. & Robert, W. (2008). Designing Web-based
Training Courses to Maximize Learning. Hershey, PA: IGA Global.
Venkatesh V. & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies. Management
Science, 4, 186-204.
Volery, T., & Lord, D. (2000). Critical success factors in online education.
The International Journal of Education Management, 14(5), 216 – 223.
Published
2020-05-03
How to Cite
Palanisamy, S., Ahlan, A. R., & Balogun, N. A. (2020). Antecedents to Effective E-Learning among Selected Secondary Schools in Malaysia. Ilorin Journal of Computer Science and Information Technology, 2(1), 108 - 130. Retrieved from https://iljcsit.com.ng/index.php/ILJCSIT/article/view/22
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