LITERATURE REVIEW
A Decade of LMS Acceptance and Adoption Research in Sub-Sahara African Higher Education: A Systematic Review of Models, Methodologies, Milestones and Main Challenges
 
More details
Hide details
1
College of Distance Education, University of Cape Coast, Cape Coast, GHANA
 
2
Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, MALAYSIA
 
 
Online publication date: 2017-10-30
 
 
Publication date: 2017-10-30
 
 
EURASIA J. Math., Sci Tech. Ed 2017;13(11):7269-7286
 
KEYWORDS
ABSTRACT
A decade has elapsed since the Learning Management System (LMS) technology permeated its way into higher education in Sub-Saharan Africa (SSA), offering new paradigms of both blended and online mode e-learning delivery. Parallel to other continents, the introduction of LMS stimulated acceptance and adoption intentions among stakeholders in higher education. This necessitated research into faculty members’ and students’ LMS acceptance and adoption intentions. While some research has been conducted in this dimension, the evidential facts are scattered. There is a need to agglomerate these studies to project a better picture of study patterns and results, to be abreast of the current state of the literature and better direct future research. This study sought to bridge the gap by way of a systematic review of previous studies within a decade of LMS acceptance research in SSA, placing them in contextual paradigms of models, methodologies, milestones, subjects, countries, findings and challenges. Results from a systematic review of 31 studies, revealed key determinants of LMS acceptance/adoption to be Attitude and Perceived Usefulness; followed by Performance Expectancy and Perceived Ease of Use; then lastly Social Influence. Major challenges to LMS implementation identified were ICT infrastructure; LMS usage skills and training; LMS system quality, LMS use policy and management support. TAM1 was the dominant model employed and students were the main subject of studies. Moreover, quantitative approach was the preferred design with Regression as the main statistical tool used for data analysis. The study recommended among others that more UTAUT or TAM3 based studies employing mixed method design with instructors as subjects, using structural equation modelling analysis are needed in SSA LMS research. Leadership and top management of higher education institutions should focus more on ICT infrastructure, LMS usage skills/training, LMS quality related issues, support and ICT policy formulation.
REFERENCES (57)
1.
Abdoli Sejzi, A., & Baharuddin A. (2013). Learning Management System (LMS) and Learning Content Management System (LCMS) at Virtual University. 2nd International Seminar on Quality and Affordable Education (ISQAE 2013).
 
2.
Aboderin, O. S. (2015). The challenges and prospects of e-learning in National Open University of Nigeria. Journal of Education and Learning (EduLearn), 9(3), 207-216.
 
3.
Adkins, S. S. (2013). Ambient Insight Regional Report: The Africa Market for Self-paced eLearning Products and Services: 2011-2016 Forecast and Analysis, 2011–2016. http://www.ambientinsight.com/....
 
4.
Africa American Institute. (2015). A report card on the progress, opportunities and challenges confronting the African education sector. State of Education in Africa Report 2015.
 
5.
Aguele, L. I. (2007). Information and communication technology in universities in Nigeria: Challenges for teaching and learning. Retrieved on July, 20, 2011.
 
6.
Alkis, N., Coskunçay, D. F., & Yildirim, S. Ö. (2014, September). A systematic review of Technology Acceptance Model in e-learning context. In Proceedings of the XV International Conference on Human Computer Interaction, 55. ACM.
 
7.
Anene, J., Imam, H., & Odumuh, T. (2014). Problem and prospect of e-learning in Nigerian universities. International Journal of Technology and Inclusive Education (IJTIE), 3(2), 320-327.
 
8.
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the association for information systems, 8(4), 3.
 
9.
Beswick, K. (2006). The importance of Mathematics teachers’ belief. Australian Mathematics Teacher, 62(4), 17–22.
 
10.
Boezerooij, P., van der Wende, M., & Huisman, J. (2007). The need for e-learning strategies: Higher education institutions and their responses to a changing environment. Tertiary Education and Management, 13(4), 313–330.
 
11.
Cavus, N., & Momani, A. M. (2009). Computer aided evaluation of learning management systems. Procedia Social and Behavioral Sciences, 1, 426–430.
 
12.
Cooney, T. J., Shealy, B. E., & Arnvold, B (1998). Conceptualizing belief structures of preservice secondary mathematics teachers. Journal for Research in Mathematics Education, 29(3), 306–333.
 
13.
Chuttur, M. Y. (2009). Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Indiana University, USA, Sprouts: Working Papers on Information Systems.
 
14.
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
 
15.
Czerniewicz, L., & Brown, C. (2009). A study of the relationship between institutional policy, organisational culture and e-learning use in four South African universities. Computers & Education, 53, 121–131.
 
16.
Czerniewicz, L., & Brown, C. (2006). The virtual Mobius strip. Retrieved on June 15, 2017 from https://telearn.archives-ouver....
 
17.
Daniel, J. (2009). E-earning for Development: Using Information and Communications Technologies to Bridge the Digital Divide. Common Wealth Ministers Reference. London: Henley Media Group.
 
18.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
 
19.
El-Gayar, O., Moran, M., & Hawkes, M. (2011). Students’ Acceptance of tablet PCs and implications for educational institutions. Educational Technology & Society, 14(2), 58–70.
 
20.
Ellis, R. K. (2009). Field Guide to Learning Management Systems, ASTD Learning Circuits. Retrieved 7th June, 2017 from http://www.astd.org/~/media/Fi....
 
21.
Evans, N. D., & Le Roux, J. (2015). Modelling the acceptance and use of electronic learning at the University of Zululand. South African Journal of Libraries and Information Science, 81(2), 26-38.
 
22.
Farrell, G., & Isaacs, S. (2007). Survey of ICT and Education in Africa: A Summary Report, Based on 53 Country Surveys, 0–74. Washington, DC. United States. Retrieved June 16, 2017 from http://www.Infodev.org/en/Publ....
 
23.
Field, A. (2009). Discovering Statistics Using SPSS. 3rdedition. Sage Publications Limited: London.
 
24.
Geisser, S. (1974). A predictive approach to the random effects model. Biometrika, 61, 101-107.
 
25.
Hastie, M., Hung, I-C., Chen, N.S. & Kinshuk (2010). A blended synchronous learning model for educational international collaboration. Innovations in Education and Teaching International, 47(1), 9–24.
 
26.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling. 2nd edition. Thousand Oaks: Sage.
 
27.
Johnson, R., Burke, O., Anthony J., & Turner, L. A. (2007). Toward a definition of mixed method research. Journal of Mixed Methods Research, 1(2), 112-133.
 
28.
Kline, R. B. (2015). Principles and Practice of Structural Equation Modelling Methodology in the Social Sciences, 4th edition. Guilford Publication: NY.
 
29.
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
 
30.
Mahdizadeh, H., Biemans, H., & Mulder, M. (2008). Determining factors of the use of e-learning environments by university teachers. Computers in Education, 51, 142-154.
 
31.
Mayoka, K., & Kyeyune, R. (2012). An analysis of e-learning information system adoption in Ugandan universities: Case of Makerere University Business School. Information Technology Research Journal, 2, 1, 1-7.
 
32.
Meerza, A., & Beauchamp, G. (2017). Factors influencing attitudes towards information and communication technology (ICT) amongst undergraduates: An empirical study conducted in Kuwait Higher Education Institutions (KHEIS). The Turkish Online Journal of Educational Technology, 16(2).
 
33.
Mohamedbhai, G. (2011). Higher Education in Africa: Facing the challenges in the 21st century. International Higher Education, 63, 20-21.
 
34.
Mtebe, J., S., & Raisamo, R. (2014). A model for assessing Learning Management System Success in Higher Education in Sub-Saharan Countries. The Electronic Journal of Information Systems in Developing Countries, EJISDC, 61(7), 1-17.
 
35.
Ng’ambi, D., Brown, C., Bozalek, V., Gachago, D., & Wood, D. (2016). Technology enhanced teaching and learning in South African higher education – A rear view of a 20 year journey. British Journal of Educational Technology, 47(5), 843–858.
 
36.
Nichols, M. (2008). Institutional perspectives: The challenges of e-learning diffusion. British Journal of Educational Technology, 39(4), 598–609.
 
37.
Nyerere, J., Mfune, O., Fuh, D., Sulemana, N., Mutisya, E., Yiran, G., Fadairo, O., Ameyaw, J., & Odingo, A. (2016). The role of higher education in building a sustainable African society. AJSD, Special Edition, 4(3).
 
38.
Oakes, K. (2002). E-learning: LCMS, LMS- They’re not just acronyms but powerful systems for learning. Training & Development, 56(3), 73-75.
 
39.
Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605.
 
40.
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150-162.
 
41.
Raschen, M. (2016). With good politics, sub-Saharan Africa can make up more lost ground. Focus on Economics, 135, (9).
 
42.
Salleh, S. (2016). Examining the influence of teachers’ beliefs towards technology integration in classroom. The International Journal of Information and Learning Technology, 33(1), 17-35.
 
43.
Sharma, A., & Vatta, S. (2013). Role of Learning Management Systems in education. International Journal of Advanced Research in Computer Science and Software Engineering, 3(6).
 
44.
Shin, W. S., & Kang, M. (2015). The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement. The International Review of Research in Open and Distributed Learning, 16(3).
 
45.
Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36, 111-14 7.
 
46.
Sun, P., C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers and Education, 50(4), 1183-1202.
 
47.
Taiwo, A. A., Downe, A. G., & Mahmood, A. K. (2012). User acceptance of E-government: Integrating risk and trust dimensions with UTAUT model. In proceedings at the International Conference on Computer and Information sciences. Kuala Lumpur.
 
48.
The partnership for Higher Education in Africa. (2007b). ICT and internet in membership countries. Retrieved May 23, 2017 from http://www.foundationpartnersh....
 
49.
UNESCO. (2010). Trends in Tertiary Education: Sub-Saharan Africa. UIS Fact Sheet, December 2010, No. 10.
 
50.
Unwin, T., Kleessen, B., Hollow, D., Williams, J., Oloo, L. M., Alwala, J., Mutimucuio, I., Eduardo, F., & Muianga, X. (2010). Digital Learning Management Systems in Africa: Myths and realities. Open Learning: The Journal of Open and Distance Learning, 25(1), 5-23.
 
51.
Venkatesh, V., & Zhang, X. (2010). Unified Theory of Acceptance and Use of Technology: US vs. China. Journal of Global Information Technology Management, 13(1), 5-27.
 
52.
Venkatesh, V. 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
 
53.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
 
54.
Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS quarterly, 37(1), 21-54.
 
55.
Watson, W. R., & Watson S. L. (2007). An argument for clarity: what are learning management systems, what are they not, and what should they become? TechTrends, Springer Verlag, 51(2), 28-34.
 
56.
Yizengaw, T. (2008). Challenges of Higher Education in Africa and lessons of experience for the Africa - U.S. Higher Education Collaboration Initiative. A Synthesis Report Based On Consultations Made Between March-April, 2008 And Review Of Literature Related To Higher Education And Development In Africa Washington D.C., Working Paper.
 
57.
Žuvi-Butorac, M., & Nebi, Z. (2009). Institutional support for e-learning implementation in higher education practice: A case report of University of Rijeka, Croatia. Proceedings of the ITI 2009 31st Int. Conference on Information Technology Interfaces, June 22-25, 2009, Cavtat, Croatia.
 
eISSN:1305-8223
ISSN:1305-8215
Journals System - logo
Scroll to top