A Review of Technology Acceptance Studies in the Field of Education


  • Md Athar Imtiaz Advanced Informatics School, Universiti Teknologi Malaysia, Jalan Semarak, 54100 Kuala Lumpur, Malaysia
  • Nurazean Maarop Advanced Informatics School, Universiti Teknologi Malaysia, Jalan Semarak, 54100 Kuala Lumpur, Malaysia




Computer based assessment, E-Assessment, technology acceptance, TAM, E-learning


Technology acceptance studies are a common medium of determining approval and predicting future use of technologies in the field of Information Systems. Numerous technology acceptance studies have been done in the area of education however there still remain hindrances in the use of computer in education. The aim of this study is to analyse published research materials in the area of technology acceptance in education and identify the current research patterns. Upon identifying these patterns, a future research path is presented. For this purpose, initially the popular technology acceptance theories are studied so as to build a firm base for examining the technology acceptance works in education domain. The technology acceptance research works were thoroughly scrutinized to identify important aspects like acceptance theory used, constructs used, causal relationships and user types. Based on all these aspects a future research pathway is suggested.


Baek, Y., J. Jung, and B. Kim. 2008. What Makes Teachers Use Technology in the Classroom? Exploring the Factors Affecting Facilitation of Technology with a Korean Sample. Computers & Education. 50(1): 224–234.

Hu, P.J.-H., T.H. Clark, and W.W. Ma. 2003. Examining Technology Acceptance by School Teachers: A Longitudinal Study. Information & Management. 41(2): 227–241.

Chen, J.-L. 2011. The Effects of Education Compatibility and Technological Expectancy on E-Learning Acceptance. Computers & Education. 57(2): 1501–1511.

King, W. R. and J. He. 2006. A Meta-analysis of the Technology Acceptance Model. Information & Management. 43(6): 740–755.

Legris, P., J. Ingham, and P. Collerette. 2003. Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model. Information & Management. 40(3): 191–204.

Wan, Z., Y. Wang, and N. Haggerty. 2008. Why People Benefit from E-Learning Differently: The Effects of Psychological Processes on E-Learning Outcomes. Information & Management. 45(8): 513–521.

Morrison, D. 2003. E-Learning Strategies: How to Get Implementation and Delivery Right First Time. Wiley.

Horton, W. and K. Horton. 2003. E-Learning Tools and Technologies: A Consumer's Guide for Trainers, Teachers, Educators, and Instructional Designers. Wiley.

Bouhnik, D. and T. Marcus. 2006. Interaction in Distancelearning Courses. Journal of the American Society for Information Science and Technology. 57(3): 299–305.

Liaw, S.-S. and H.-M. Huang. 2007. Developing a Collaborative E-Learning System Based on Users’ Perceptions. In Computer Supported Cooperative Work in Design III. Springer. 751–759.

Bull, J. and C. McKenna. 2003. A Blueprint for Computer-assisted Assessment. Routledge.

Buzzetto-More, N.A. and A.J. Alade. 2006. Best Practices in E-Assessment. Journal of Information Technology Education. 5(1): 251–269.

Terzis, V. and A.A. Economides. 2011. The Acceptance and Use of Computer Based Assessment. Computers & Education. 56(4): 1032–1044.

Mason, O. and I. Grove-Stephensen. 2002. Automated Free Text Marking With Paperless School.

Siozos, P., et al. 2009. Computer Based Testing Using “Digital Inkâ€: Participatory Design of a Tablet PC Based Assessment Application for Secondary Education. Computers & Education. 52(4): 811–819.

Terzis, V. and A. A. Economides, 2011. Computer Based Assessment: Gender Differences in Perceptions and Acceptance. Computers in Human Behavior. 27(6): 2108–2122.

Bennett, R. E. 2002. Inexorable and Inevitable: The Continuing Story of Technology and Assessment. Computer-based Testing and the Internet. 201.

Deutsch, T., et al. 2012. Implementing Computer-based Assessment–A Web-based Mock Examination Changes Attitudes. Computers & Education. 58(4): 1068–1075.

Singleton, C. 2001. Computer-based Assessment in Education. Educational and Child Psychology. 18(3): 58–74.

Fishbein, M. and I. Ajzen, Belief. 1975. Attitude, Intention and Behavior: An Introduction to Theory and Research.

Bandura, A. 2001. Social Cognitive Theory: An Agentic Perspective. Annual Review of Psychology. 52(1): 1–26.

Davis, F. D., 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly. 319–340.

Ajzen, I. 1991. The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes. 50(2): 179–211.

Rogers, E. M. 2002. Diffusion of Preventive Innovations. Addictive Behaviors. 27(6): 989–993.

Taylor, S. and P. A. Todd. 1995. Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research. 6(2): 144–176.

Terzis, V., C. N. Moridis, and A. A. 2012. Economides, How Student’s Personality Traits Affect Computer Based Assessment Acceptance: Integrating BFI with CBAAM. Computers in Human Behavior. 28(5): 1985–1996.

Terzis, V., C.N. Moridis, and A.A. Economides. 2012. The Effect of Emotional Feedback on Behavioral Intention to Use Computer Based Assessment. Computers & Education. 59(2): 710–721.

Terzis, V., C.N. Moridis, and A.A. Economides. 2013. Continuance Acceptance of Computer Based Assessment through the Integration of User’s Expectations and Perceptions. Computers & Education.

Selim, H. M. 2003. An Empirical Investigation of Student Acceptance of Course websites. Computers & Education. 40(4): 343–360.

Lee, Y.-C. 2008. The Role of Perceived Resources in Online Learning Adoption. Computers & Education. 50(4): 1423–1438.

Galy, E., C. Downey, and J. Johnson. 2011. The Effect of Using E-Learning Tools in Online and Campus-based Classrooms on Student Performance. Journal of Information Technology Education. 10: 209–230.

Marin, S. T., et al. 2005. Implementation of a Web-based Educational Tool for Digital Signal Processing Teaching Using the Technological Acceptance Model. Education, IEEE Transactions on. 48(4): 632–641.

Selim, H. M. 2007. Critical Success Factors for E-Learning Acceptance: Confirmatory Factor Models. Computers & Education. 49(2): 396–413.

Lee, M.-C. 2010. Explaining and Predicting Users’ Continuance Intention Toward E-Learning: An Extension of the Expectation–Confirmation Model. Computers & Education. 54(2): 506–516.

Liu, I.-F., et al. 2010. Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community. Computers & Education. 54(2): 600–610.

Chow, M., et al. 2012. Extending the Technology Acceptance Model to Explore the Intention to Use Second Life for Enhancing Healthcare Education. Computers & Education.

Padilla-MeléNdez, A., A.R. Del Aguila-Obra, and A. Garrido-Moreno. 2013. Perceived Playfulness, Gender Differences and Technology Acceptance Model in a Blended Learning Scenario. Computers & Education.

Van Raaij, E. M. and J. J. Schepers. 2008. The Acceptance and Use of a Virtual Learning Environment In China. Computers & Education. 50(3): 838–852.

Brown, I. T. 2002. Individual and Technological Factors Affecting Perceived Ease of Use of Web-based Learning Technologies in a Developing Country. The Electronic Journal of Information Systems in Developing Countries. 9.

Saadé, R. and B. Bahli. 2005. The Impact of Cognitive Absorption on Perceived Usefulness and Perceived Ease of Use in On-line Learning: An Extension of the Technology Acceptance Model. Information & Management. 42(2): 317–327.

Ngai, E.W., J. Poon, and Y. Chan. 2007. Empirical Examination of the Adoption of WebCT using TAM. Computers & Education. 48(2): 250–267.

Lee, B.-C., J.-O. Yoon, and I. Lee. 2009. Learners’ Acceptance of E-Learning in South Korea: Theories and Results. Computers & Education. 53(4): 1320–1329.

Liu, S.-H., H.-L. Liao, and J. A. Pratt. 2009. Impact of Media Richness and Flow on E-Learning Technology Acceptance. Computers & Education. 52(3): 599–607.

Pituch, K.A. and Y.-k. Lee. 2006. The Influence of System Characteristics on E-Learning Use. Computers & Education. 47(2): 222–244.

Moran, M., M. Hawkes, and O. El Gayar. 2010. Tablet Personal Computer Integration in Higher Education: Applying the Unified Theory of Acceptance and Use Technology Model to Understand Supporting Factors. Journal of Educational Computing Research. 42(1): 79–101.

Carswell, A. D. and V. Venkatesh, 2002. Learner Outcomes in an Asynchronous Distance Education Environment. International Journal of Human-Computer Studies. 56(5): 475–494.

Liaw, S.-S. 2008. Investigating Students’ Perceived Satisfaction, Behavioral Intention, and Effectiveness of E-Learning: A Case Study of the Blackboard System. Computers & Education. 51(2): 864–873.

Teo, T. 2011. Factors Influencing Teachers’ Intention to Use Technology: Model Development and Test. Computers & Education. 57(4): 2432–2440.

Pynoo, B., et al. 2012. Teachers' Acceptance and Use of an Educational Portal. Computers & Education. 58(4): 1308–1317.

Pynoo, B., et al. 2011. Predicting Secondary School Teachers’ Acceptance and Use of a Digital Learning Environment: A Cross-Sectional Study. Computers in Human Behavior. 27(1): 568–575.

Wang, W.-T. and C.-C. Wang. 2009. An Empirical Study Of Instructor Adoption of Web-based Learning Systems. Computers & Education. 53(3): 761–774.

Sørebø, Ø., et al. 2009. The Role of Self-determination Theory in Explaining Teachers’ Motivation to Continue to Use E-Learning Technology. Computers & Education. 53(4): 1177–1187.

Teo, T., et al. 2009. Assessing the Intention to Use Technology Among Pre-Service Teachers in Singapore and Malaysia: A Multigroup Invariance Analysis of the Technology Acceptance Model (TAM). Computers & Education. 53(3): 1000–1009.

Teo, T. 2009. Modelling Technology Acceptance in Education: A Study of Pre-Service Teachers. Computers & Education. 52(2): 302–312.

Wong, K.-T., T. Teo, and S. Russo. 2012. Influence of Gender and Computer Teaching Efficacy on Computer Acceptance Among Malaysian Student Teachers: An Extended Technology Acceptance Model. Australasian Journal of Educational Technology. 28(7): 1190–1207.

Mahdizadeh, H., H. Biemans, and M. Mulder. 2008. Determining Factors of the Use of E-Learning Environments by University Teachers. Computers & Education. 51(1): 142–154.

Venkatesh, V. and F.D. Davis. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science. 46(2): 186–204.

Lee, M. K., C. M. Cheung, and Z. Chen. 2005. Acceptance of Internet-based Learning Medium: The Role of Extrinsic and Intrinsic Motivation. Information & management. 42(8): 1095–1104.

Liaw, S.-S., H.-M. Huang, and G.-D. Chen. 2007. Surveying Instructor and Learner Attitudes Toward E-Learning. Computers & Education. 49(4): 1066–1080.

Compeau, D. R. and C. A. Higgins. 1995. Computer Self-efficacy: Development of a Measure and Initial Test. MIS Quarterly. 189–211.

Moon, J.-W. and Y.-G. Kim. 2001. Extending the TAM for a World-Wide-Web context. Information & Management. 38(4): 217–230.

Wang, Y.-S. 2003. Assessment of Learner Satisfaction with Asynchronous Electronic Learning Systems. Information & Management. 41(1): 75–86.




How to Cite

Imtiaz, M. A., & Maarop, N. (2014). A Review of Technology Acceptance Studies in the Field of Education. Jurnal Teknologi, 69(2). https://doi.org/10.11113/jt.v69.3101