Using Technology Acceptance Model (TAM)Model to Assess the Lecturers’ Behavioral Intention to Use E- Learning System in University of Babylon


  • Chasib Hasan abboodi
  • Rahman Nahi Abid
  • Nawrs Haider Mahmood



E-learning systems, Technology Acceptance Model TAM, University of Babylon, Iraq


E-learning becomes the advanced technology used to improve the learning process with professional tools. University of Babylon (UoB) has begun to adopt e- learning tools to improve its education quality. Lecturers acceptance of e-learning system is critical issue should be measured along time of development of e-learning system in order to get high effectiveness in learning process.  The technology acceptance model (TAM) used in this study to explain lecturers' acceptance of e-learning system in UoB. the present paper consolidated the perceived Usefulness (PU), perceived ease of use (PEOU), perceived playfulness, facilitating conditions and IT knowledge as independent variables. Data gathered by distributed questionnaire. The number of respondents was fifty-nine. The findings demonstrated that PEOU, PU, perceived playfulness and IT knowledge are fundamentally affected the attitude of UoB lecturers. These were trailed by disposition to utilize E-learning and its encouraging condition impact user behavior.




[1] K. A. Al- Busaidi, and H. Al-Shihi, Instructors' Acceptance of Learning Management Systems: A Theoretical Framework, Communications of the IBIMA, vol. 2010 , 2010

[2] M. Afshari, K. A. Bakar, W. S. Luan, B. A. Samah, and F. S. Fooi." Factors affecting teachers’ use of information and communication technology," International Journal of Instruction, vol. 2, pp. 77-104., 2009

[3] S. S. Al-Gahtani, , G. S. Hubona, and J. Wang, "Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT," Information & Management, vol. 44, pp. 681-691. , (2007)

[4] S. Al-Gahtani, "The applicability of TAM outside North America: an empirical test in the United Kingdom, " Information Resources Management Journal (IRMJ), vol. 14, pp. 37-46. ,(2001)

[5] Shakeel PM, Baskar S, Dhulipala VS, Jaber MM., “Cloud based framework for diagnosis of diabetes mellitus using K-means clusteringâ€, Health information science and systems, 2018 Dec 1;6(1):16.

[6] Browne, T., Jenkins, M. and Walker, R. ,(2006), "A longitudinal perspective regarding the use of VLEs by higher education institutions in the United Kingdom " Interactive Learning Environments, vol. 14, pp. 177-192.

[7] Cavus, N. and Momani, A. a. M. , (2009), "Computer aided evaluation of learning management systems," Procedia - Social and Behavioral Sciences, vol. 1, pp. 426-430.

[8] Cronbach, L. J., (1951), "Coefficient alpha and the internal structure of tests," Psychometrika, vol. 16, pp. 297-334.

[9] Davis Jr, F. D. , (1986), "A technology acceptance model for empirically testing new end-user information systems: Theory and results," Massachusetts Institute of Technology.

[10] Davis, F. D. ,(1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS quarterly, pp. 319-340.

[11] Doll, W. J. and Torkzadeh, G. , (1988), "The measurement of end-user computing satisfaction," MIS quarterly, pp. 259-274.

[12] Dutton, W. and Loader, B. D. , (2004), Digital academe: new media in higher education and learning: Routledge.

[13] Hair, J., Black, W. , Babin, B., Anderson, R. ,and Tatham, R. (2006), "Multivariate Data Analysis: Pearson Education," New Jersey: Hoboken.

[14] Jemain, A. A., Al-Omari, A. and Ibrahim, K. ,(2007),"Multistage median ranked set sampling for estimating the population median," Journal of Mathematics and Statistics, vol. 3, p. 58.

[15] Kim, D. and Chang, H. , (2007), "Key functional characteristics in designing and operating health information websites for user satisfaction: An application of the extended technology acceptance model," International Journal of Medical Informatics, vol. 76, pp. 790-800.

[16] King, R. C. and Gribbins, M. L., (2002), "Internet technology adoption as an organizational event: an exploratory study across industries," in System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on, pp. 2683-2692.

[17] Kripanont, N. , (2006), "Using Technology Acceptance Model to Investigate Academic Acceptance of the Internet," Journal of Business Systems, Governance, and Ethics, vol. 1, pp. 13-28.

[18] Ma, Q. and Liu, L. , (2004), "The technology acceptance model: a meta-analysis of empirical findings," Journal of Organizational and End User Computing (JOEUC), vol. 16, pp. 59-72.

[19] Moon, J.-W. and Kim, Y.-G. , (2001), "Extending the TAM for a World-WideWeb context," Information & Management, vol. 38, pp. 217-230.

[20] Nunnally, J. C.,(1967) Psychometric Theory: New York: McGraw-Hill.

[21] OECD, (2012), Education at a Glance 2012, ).

[22] Ong, C.-S. and Lai, J.-Y. , (2006), "Gender differences in perceptions and relationships among dominants of e-learning acceptance," Computers in Human Behavior, vol. 22, pp. 816-829.

[23] Selvakumar S, Inbarani H, Shakeel PM. A Hybrid Personalized Tag Recommendations for Social E-Learning System. International Journal of Control Theory and Applications. 2016;9(2):1187-99.

[24] Paulsen, M. F. , (2003), "Experiences with Learning Management Systems in 113 European Institutions," Educational Technology & Society, vol. 6, pp. 134-148.

[25] Paulsen, M. F. , (2002),"Online Education Systems: Discussion and definition of terms," NKI Distance Education.

[26] Radcliffe, D. ,( 2002), "Technological and pedagogical convergence between work-based and campus-based learning," Educational Technology & Society, vol. 5, pp. p54-59.

[27] Robinson, M. and Ally, M. , (2009), "Transition to e-Learning in a Gulf Arab Country," in The 2nd Annual Forum on e-Learning Excellence in the Middle East, Dubai, UAE.

[28] Sridhar KP, Baskar S, Shakeel PM, Dhulipala VS., “Developing brain abnormality recognize system using multi-objective pattern producing neural networkâ€, Journal of Ambient Intelligence and Humanized Computing, 2018:1-9.

[29] Rahman, N. A.,Suraya, B. M., and Syed, N. H (2015), A Decision Support System Procurement Solution for the University of Babylon. JOURNAL OF INFORMATION SYSTEMS RESEARCH AND INNOVATION,

[30] Rahman N.A., and Kadim R.,(2018), Development of New Social Network Site for University Interactions. Medwell:Journal of Engineering and Applied Science, Vol. 13, (Special Issue 5).

[31] Roca, J. C. ,Chiu, C.-M. and Martínez, F. J. , (2006), "Understanding e-learning continuance intention: An extension of the Technology Acceptance Model," International Journal of Human-Computer Studies, vol. 64, pp. 683-696

[32] Shakeel PM, Baskar S, Dhulipala VS, Mishra S, Jaber MM., “Maintaining security and privacy in health care system using learning based Deep-Q-Networksâ€, Journal of medical systems, 2018 Oct 1;42(10):186.

[33] Sánchez, R. A. and Hueros, A. D. , (2010), "Motivational factors that influence the acceptance of Moodle using TAM," Computers in Human Behavior, vol.26, pp. 1632-1640.

[34] Shroff, R. H., Deneen, C. and Ng, E. M. , (2011), "Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system," Australasian Journal of Educational Technology, vol. 27, pp. 600-618.

[35] Taylor, S. and Todd, P., (1995) , "Assessing IT usage: The role of prior experience," MIS quarterly, vol. 19, pp. 561-570.

[36] Thompson, R. Compeau, D. and Higgins, C. ,(2006),"Intentions to use information technologies: An integrative model," Journal of Organizational and End User Computing (JOEUC), vol. 18, pp. 25-46.

[37] UoB website, (2018), about University of Babylon: Statistics ,http://


[39] Venkatesh, V. M. G. Morris, G. B. Davis, and F. D. Davis, (2003), "User acceptance of information technology: Toward a unified view," MIS quarterly, pp. 425-478.

[40] Venkatesh, V. and Davis , F. D., (2000)"A theoretical extension of the technology acceptance model: four longitudinal field studies,"Management science, vol. 46, pp. 186-204.

[41] Venkatesh, V. , Thong, J. and Xu, X. , (2012), "Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology," MIS quarterly, vol. 36, pp. 157-178.

[42] Wong, K.-T., Goh, P. S. C. and Rahmat, M. K. ,( 2013), "Understanding Student Teachers' Behavioural Intention to Use Technology: Technology Acceptance Model (TAM) Validation and Testing," Online Submission,vol. 6, pp. 89-104.

[43] MuhammedShafi. P,Selvakumar.S*, Mohamed Shakeel.P, “An Efficient Optimal Fuzzy C Means (OFCM) Algorithm with Particle Swarm Optimization (PSO) To Analyze and Predict Crime Dataâ€, Journal of Advanced Research in Dynamic and Control Systems, Issue: 06,2018, Pages: 699-707

[44] Arroway, P. E., Davenport, G. Xu, and D. Updegrove, (2010), "EDUCAUSE core data service fiscal year 2009 summary report," Boulder, CO: EDUCAUSE.

[45] Rahman, N. A., Suraya, B. M., and Syed, N. (2013), Decision Support System Framework for Procurement Decisions in University of Babylon, JOURNAL OF INFORMATION SYSTEMS RESEARCH AND INNOVATION,

[46] Park, S. Y.,(2009), "An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning," Educational Technology & Society, vol. 12, pp. 150-162

View Full Article: