E-Learning Program Adoption: Technology Acceptance Model Approach

Haryanto Haryanto, Honest Ummi Kultsum


Indonesian government has launched e-book for elementary till high school’s students as an important part of e-learning program.   That program has some impacts both for students and teachers.  The aim  of  this study is to  analyze  the  crucial  variables that  influence  teachers’ intention to adopt e-learning program. To achieve the research’s objective, the population of the research is teachers in Surakarta and purposive sampling method is chosen as sampling method approach with criterion, first, participants must be the state high school teachers; second, participants have an intention to adopt e-learning program. Based on survey to 243 teachers and also after SEM AMOS applied , the result showed that first, computer self-efficacy and perceived easy of use effect perceived usefulness; second, perceived easy of use and perceive usefulness influence the attitude towards using; finally, perceived usefulness and attitude towards using are predictor variable of intention to use. Overall, Technology Acceptance Model is a good model to investigate the intention to use e- learning for teachers

Full Text:



Agarwal, R. and Prasad, J. (1999),”Are individual differences germane to the acceptance of new information technologies?”, Decision Sciences, Vol.30 No.2,pp.361-91

Agarwal, R. Sambamurthy, V. and Stair, R.M. (2000), “research report: the evolving relationship between general and specific computer self efficacy – an empirical assessment”, Information System Research, Vol.11 No., pp.418-30

Ajzen, I and Fishbein, M (1980), Understanding Atitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ.

Ajzen, I., & Fishbein, M. (1969). The Prediction of Behavioral Intention in a Choice Situation. Journal Of Experimental Social Psychology, 5, 400–416.

Ajzen, I., Czasch, C., & Flood, M. G. (2009). From Intentions to Behavior : Implementation Intention, Commitment, and Conscientiousness. Journal of Applied Social Psychology, 39, 1356–1372.

Ba, S. 2001, Establishing Online Trust Through A community Responsibility System. Decision Support System, 31, 323-336. June 28, 2005.http//www.cos.ufjr.br/~jano/ CSCW2004/onlinetrust.pdf

Brown, T.J. 2002. Individual and Technological Factors Affecting Country, The Electronic Journal on Information Sytems in Developing Countries, http://www.ejisdc.org.

Conner, M., & Armitage, J. (1998). Extending the Theory of Planned Behavior : A Review and Avenues for Further Research. Journal of Applied Social Psychology, 28(15), 1429–1464.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease Of Use, And User Accep. MIS Quarterly, (September), 319–340.

Davis, F.D. (1989), “Perceived usefulness, perceived ease of use and user acceptance of information technology”, MIS Quarterly, Vol. 13 No.3,pp.318-39

Fishbein, M., & Ajzen, I. (1974). Attitude Toward Objects As Predictors of Single and Multiple Behavioral Criteria. Psychological Review, 81 No.1, 59–74.

Ghozali, I and Fuad. 2005. Struktural Equation Modelling. Semarang: Badan Penerbit Universitas Diponegoro.

Hair, J.T., Anderson, R.E., Tatham, R.L. and Black, W.C (1992) Multyvariate Data Analysis with Readings, 3rd ed., Macmillan, New York, NY.

http://www.depdiknas.go.id/ diakses 30 Juni 2008

Leong, Leslie.2001. Theoritical Models in IS Research and The Technology Acceptance Model (TAM), Information system Research, www.brint.org/technologyacceptance.pdf

Sam, H. K., Ekhsan, A., Othman, A., & Nordin, Z. S. (2005). Computer Self-Efficacy, Computer Anxiety, and Attitudes toward the Internet : A Study among Undergraduates in Unimas Purpose of the research. Educational Technology & Society, 8, 205–219.


  • There are currently no refbacks.