PREDICTING THE ADOPTION OF E-LEARNING MANAGEMENT SYSTEM: A CASE OF SELECTED PRIVATE UNIVERSITIES IN NIGERIA

Yıl 2017, , 106 - 121, 01.04.2017

Olanike Sharon Nıcholas-omoregbe Ambrose Agbon Azeta İdowu Aigbovo Chıazor Nicholas Omoregbe

https://doi.org/10.17718/tojde.306563

Cited By: 29

Öz

Despite the availability of studies on e-learning management system (eLMS) using information system models, its theoretical foundations have not yet captured social constructs that are peculiar to developing countries including Nigeria. This study was undertaken with the aim of investigating factors that could influence eLMS adoption in higher education. Drawing upon the Social Learning Theory (SLT), Unified Theory of Acceptance and Use of Technology (UTAUT), and two other variables which are Technology Culturation and Power (electricity), an empirical based model was developed to identify predictors of eLMS. The study used Smart Partial LeastSquare-Structured Equation Modeling (PLS-SEM) to examine the pattern of inter-correlation among the SLT and UTAUT constructs. The survey method of research was used by administering questionnaires to undergraduate students of 3 selected private universities in Ogun state, Nigeria with a sample size of 472. The results show that Attitude, Social Influence and Technology Culturation are strong determining factors of intention to adopt eLMS, while Performance Expectancy and Power do not significantly influence the Behavioural Intention to adopt eLMS. More so, Performance Expectancy and Behavioural Intention have positive influence on student grades. The results of this study will provide theoretical information on the intention to adopt eLMS and should be of interest to both researchers and education administrators in terms of planning and decision making.

Anahtar Kelimeler

e-Learning management system, SLT, UTAUT, PLS-SEM, technology culturation and power, Nigeria

Kaynakça

• Abuhamdeh, M. (2010). A hierarchical framework to quantitatively evaluate success factors of mobile learning. Unpublished PhD Thesis, Univ. of Banking and Financial Sciences, Amman, Jordan. Abu-Al-Aish, A., & Love, A. (2013). Factors influencing students’ acceptance of mlearning:An investigation in higher education. The International Review of Research in Open and Distance Learning, 14 (5): 82-107. Adewole-Odeshi, E. (2014). Attitude of Students Towards E-learning in SouthWest Nigerian Universities: An Application of Technology Acceptance Model. Library Philosophy and Practice (e-journal). Ahmad, S. A. (2012). Essentialities for E-learning: The Nigerian tertiary institutions in question. Academic Research International, 2(2): 286-291. Ajadi, T.O., Salawu, I. O. &Adeoye, F.A. (2008). E-learning and distance education in Nigeria. The Turkish Online Journal of Educational Technology (TOJET), 7 (4): 61- 70. Alrawashdeh, T. A., Muhairat, M.I. &Alqatawnah, S. M. (2012). Factors affecting acceptance of web-based training system: using extended UTAUT and structural equation modeling. International Journal of Computer Science, Engineering and Information Technology(IJCSEIT), 2 (2): 45. AlQudah, A. A. (2014). Accepting Moodle by academic staff at the university of Jordan: Applying and extending TAM in technical support factors, 10 (18): 183-200. Alharbi, S. & Drew, S. (2014). Using the Technology Acceptance Model in understandingacademics’ behavioural intention to use Learning Management Systems. (IJACSA) International Journal of Advanced Computer Science and Applications, 5 (1), 201. Amer, A., Ahmad A., & Jo, S.(2013). Exploring students acceptance of e-learning usingTechnology Acceptance Model in Jordanian universities. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 2013, Vol. 9, Issue 2, pp. 4-18 Anene, J., H. Imam & Odumuh, T. (2014). Problem and prospect of e-learning in Nigerianuniversities. International Journal of Technology and Inclusive Education (IJTIE), 3 (2): 320-327. Azeta A. A., Ayo C. K., Atayero A. A. & Ikhu-Omoregbe N. A. (2009). A Case-Based Reasoning Approach for Speech-Enabled e-Learning System, 2nd IEEE International Conference on Adaptive Science & Technology (ICAST). December 14 – 16, 2009, Accra Ghana. ISBN: 978-1-4244-3523-4, ISSN: 0855-8906. PP. 211-217 Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1): 74–94. Chigbu, E.D.,& Dim, C.L. (2012). Connectivity and accessibility in Nigerian university libraries: asurvey of access, usage, and problems in the University of Nigeria, Nsukka. Library Philosophy and Practice, 83. Claar, C., Dias, L.,& Shields, R. (2014). Student acceptance of learning management systems:a study on demographics. Issues in Information Systems, 15 (1): 409- 417. Claar, C. (2014). Student Acceptance of Learning Management Systems: A Study on Demographics. Issues in Information Systems, 15 (1), 409-417. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int. J. Man-Machine Studies, 38 (3): 475-487. Dijkstra, T. K.,&Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly. 39 (2): 297-316. Fidani, A., & Idrizi, F. (2012). Investigating Students’ Acceptance of a Learning ManagementSystem in University Education: A Structural Equation Modeling Approach. ICT Innovations 2012 Web Proceedings, ISSN 1857-7288. Fornell, C.,& Larcker (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1): 39-50. Hair, J.F., Sarstedt, M., Ringle, C.M.,& Mena, J.A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40 (3): 414-433. Hsu, H. (2012). The acceptance of Moodle: an empirical study based on UTAUT. Creative Education. 3 (8B): 44-46. Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic Management Journal, 20 (2): 195–204. Hutchins, H.M. (2001). Enhancing the business communication course through WebCT, Business Communication Quarterly, 64: 87-94. Klobas, J. E., & McGill, T. J. (2009). A task–technology fit view of learning management systemimpact. Computers & Education, 52 (2009) 496–508. Kulshrestha, T., & Kant, A. R. (2013). Benefits of Learning Management System (LMS) in Indianeducation. International Journal of Computer Science & Engineering Technology (IJCSET). Lin, P., Lu, H.,& Liu, S. (2013). Towards an education behavioral intention model for elearning systems: An extension of UTAUT. Journal of Theoretical and Applied Information Technology.47 (3). Loch, K., Straub, D.,&Kamel, S. (2003). Diffusing the internet in the Arab world: The role aof social norms and technological culturation. IEEE Transactions on Engineering Management ,50 (1): 45. Lwoga, E.,&Komba (2014). Understanding university students’ behavioural continued intentions to use e-learning in Tanzania. Proceedings and Report of the 7th UbuntuNet Alliance Annual Conference, 167-188. Maina, M. K. &Nzuki, D .M. (2015). Adoption Determinants of E-learning Management System in Institutions of Higher Learning in Kenya: A Case of Selected Universities in Nairobi Metropolitan. International Journal of Business and Social Science, 6 (2). Marchewka, J., Liu, C.,&Kostiwa, K. (2007). An application of the UTAUT model for understanding student perceptions using course management software, Communications of the IIMA, 7 (2): 93-104. Maina, M. K.,&Nzuki, D.M. (2015). Adoption determinants of e-learning management system in institutions of higher learning in Kenya: A Case of selected universities in Nairobi Metropolitan. International Journal of Business and Social Science, 6 (2): 233-248. Nanayakkara, C. (2007). A model of user acceptance of learning management systems: a study within tertiary institutions in New Zealand. International Journal of Learning, 13 (12): 223. Okoli, J.C. (2003). Expert assessments of e-commerce in sub-saharanafrica: a theoretical model of infrastructure and culture for doing business using the internet. Unpublished PhD Thesis, Faculty of the Louisiana State Univ. and A and M College.