THE ADOPTION AND USE OF MOODLE LEARNING MANAGEMENT SYSTEM IN HIGHER INSTITUTIONS OF LEARNING: A SYSTEMATIC LITERATURE REVIEW
DOI:
https://doi.org/10.47672/ajodl.489Keywords:
Learning Management System, Moodle platform, Technology adoption, Systematic reviewAbstract
Purpose: This study had as purpose to examine the factors influencing instructors and students use of the Moodle Platform in teaching online courses in the ICT University, then the theories used in the use and adoption of Moodle platform.
Methodology: The article focuses on the systematic review of empirical studies in the use and adoption of Moodle Learning Management System (MLMS) in higher institutions. The authors examined 58 publications on the subject from 2010 to 2019, making critical analysis of theories adopted in the study, the research approach, adoption factors, barriers, constructs used and research context.
Findings: Findings from the literature review shown that technological factors, social factors, human factors and reinforcement factors affect the adoption and use of moodle platform. Most publications on this subject are reported using the quantitative research approach. Only a few studies have gained the attention of qualitative approach. Among the technology acceptance models used in the studies, TAM has gained more attention than any other has. The systematic review of literature has brought to the understand that institutes of higher learning in developed as well as developing countries are making remarkable progress in the Moodle Learning Management System (MLMS) as distance-learning tool for knowledge disseminate and acquisition. This practice however, has received more attention in the developed than in the developing countries. The outbreak of CCOVID-19 led to the promotion of social distancing. Institutions of higher learning can only become sustainable in the present dispensation if they promote the use of distance learning tools such as MLSM.
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Abdullah, M. S. (2017). Analysis of the Factors for the Successful E-Learning Services Adoption from Education Providers' and Students' Perspectives: A case study of Private Universities in Northern Iraq. EURASIA Journal of Mathematics, Science and Technology Education, 143, 1097-1109.
Adenuga, K., Noorminshah, A., &Miskon, S. (2015). An Initial Model for Telemedicine Adoption in Developing Countries. ARPN Journal of Engineering and Applied Sciences, 10(23), 17614-17619.
Ahmad, S. A., Chinade, U. B., Gambaki, A. M., Ibrahim, S., & Ala, N. A. (2012). The need for moodle as a learning management system in Nigerian universities: Digesting university Utara Malaysia learning zone as a case study. Academic Research International, 2(3), 444.
Al-Gahtani, S. S. (2006). Information technology adoption, the roadmap to sustainable development: Examining three models. Paper presented at the 18th Saudi National Computer Conference.
Algahtani, M. (2017). Factors influencing the adoption of learning management systems in the Kingdom of Saudi Arabian universities by female academic staff. RMIT University.
Alhothli, N. I. (2015). Investigating the impact of using Moodle as an e-learning tool for students in an English language institute. Psychology.
AlQudah, A. A. (2014). Accepting Moodle by academic staff at the University of Jordan: Applying and extending TAM in technical support factors. European Scientific Journal, ESJ, 10(18).
Ansong, E., Lovia Boateng, S., & Boateng, R. (2017). Determinants of e-learning adoption in universities: Evidence from a developing country. E. Ansong, S. L. Boateng, R. Boateng and J. Effah, "Determinants of E-Learning Adoption in Universities: Evidence from a Developing Country. 49th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, 2016, pp. 21-30.
Armentano, M. G., Christensen, I., &Schiaffino, S. (2015). Applying the technology acceptance model to evaluation of recommender systems. (51), 73-79.
Bhardwaj, A., Nagandla, K., Swe, K., & Abas, A. (2015). Academic Staff Perspectives Towards Adoption of E-learning at Melaka Manipal Medical College: Has E-learning Redefined our Teaching Model? Kathmandu University medical journal, 13(1), 12-18.
Boateng, R., Mbrokoh, A. S., Boateng, L., Senyo, P. K., &Ansong, E. (2016). Determinants of e-learning adoption among students of developing countries. 33(4), 248-262.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology,
Davis, F. D., Bagozzi, R. P., &Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. 35(8), 982-1003.
Duval, E., Sharples, M., & Sutherland, R. (2017). Research themes in technology enhanced learning. In Technology Enhanced Learning (pp. 1-10): Springer.
Essel, D. D., & Wilson, O. A. (2017). Factors affecting university students' use of Moodle: An empirical study based on TAM. International Journal of Information and Communication Technology Education. 13(1), 14-26.
Filippidi, A., Tselios, N., & Komis, V. (2010). Impact of Moodle usage practices on students' performance in the context of a blended learning environment. 2-7.
Goyal, E., & Tambe, S. (2015). Effectiveness of Moodle-enabled blended learning in private Indian Business School teaching NICHE programs. The Online Journal of New Horizons in Education, 5(2), 14-22.
Grabowski, M., & Sagan, A. (2016). Attitudes Towards a Moodle-based E-Learning Platform: A User Segmentation Perspective.
Hanif, A., Jamal, F. Q., & Imran, M. (2018). Extending the Technology Acceptance Model for Use of e-Learning Systems by Digital Learners. 6, 73395-73404.
Hsu, H.-H. (2012). The acceptance of Moodle: An empirical study based on UTAUT. Creative Education. Vol.3, Supplement, 44-46.
Hsu, H.-h., & Chang, Y.-y. (2013). Extended TAM model: Impacts of convenience on acceptance and use of Moodle. Online Submission, 3(4), 211-218.
Ishtaiwa, F. (2011). Faculty attitudes and use of Moodle course management system as a supplement to face-toface Instruction: A Jordanian Case Study. Journal of Educational and Psychological Sciences, 12(1), 11- 44.
Ismail, M., & Razak, R. C. (2011). The determinant factors influencing young consumers acceptance of mobile marketing in Malaysia. 5(32), 12531-12542.
Jen, W., Lu, T., & Liu, P.-T. (2009). An integrated analysis of technology acceptance behaviour models: Comparison of three major models. 15(1), 89-121.
Jones, D. S. (2015). Analysis of Factors That Influence Use of Learning Management Systems by Pennsylvania Rural School Districts.
Kasim, N. N. M., & Khalid, F. (2016). Choosing the right learning management system (LMS) for the higher education institution context: a systematic review. International Journal of Emerging Technologies in Learning (iJET), 11(06), 55-61.
Kebritchi, M., Lipschuetz, A., &Santiague, L. (2017). Issues and challenges for teaching successful online courses in higher education: A literature review. Journal of Educational Technology Systems, 46(1), 4-29.
Khan, A., &Woosley, J. M. (2011). Comparison of contemporary technology acceptance models and evaluation of the best fit for health industry organizations. International Journal of Computer Science Engineering & Technology, 1(11), 709-717.
Kiget, N. K., Wanyembi, G., & Peters, A. I. (2014). Evaluating usability of e-learning systems in universities. International Journal of Advanced Computer Science and Applications, 5(8), 97-102.
Kilic, E. (2014). Determining the factors of affecting the Moodle use by using TAM. The story of a university after a destructive earthquake. H. U. Journal of Education. 29(29-1), 169-179.
Madden, T. J., Ellen, P. S., &Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin. 18(1), 3-9.
Marks, A., Maytha, A.-A., &Rietsema, K. (2016). Learning Management Systems: A Shift Toward Learning and Academic Analytics. International Journal of Emerging Technologies in Learning (iJET), 11(04), 77-82.
MejÃa, N. A. (2015). Smart Working Environments, possible future scenarios, and technology adoption implications. TY- Book.
Minović, M., Å tavljanin, V., Milovanović, M., &StarÄević, D. (2008). Usability issues of e-learning systems: Case-study for Moodle learning management system. Paper presented at the OTM Confederated International Conferences" On the Move to Meaningful Internet Systems".
Mtebe, J. (2015). Learning management system success: Increasing learning management system usage in higher education in sub-Saharan Africa. International Journal of Education and Development using ICT, 11(2).
Nicholas-Omoregbe, O. S., Azeta, A. A., Chiazor, I. A., &Omoregbe, N. (2017). Predicting the adoption of e-learning management system: A case of selected private universities in Nigeria. Turkish Online Journal of Distance Education-TOJDE 18(2), 106-121.
Oliveira, P. C. d., Cunha, C. J. C. d. A., & Nakayama, M. K. (2016). Learning Management Systems (LMS) and e-learning management: an integrative review and research agenda. 13(2), 157-180.
Olushola, T., & Abiola, J. (2017). The efficacy of technology acceptance model: A review of applicable theoretical models in information technology researches. Journal of Research in Business and Management. 4(11), 70-83.
Oproiu, G. C. (2015). A study about using e-learning platform (Moodle) in university teaching process. Procedia-Social and Behavioral Sciences, 180, 426-432.
Papadakis, S., Kalogiannakis, M., &Sifaki, E. (2019). Evaluating Moodle use via Smart Mobile Phones. A case study in a Greek University.
Picciano, A. G. (2017). Theories and Frameworks for Online Education: Seeking an Integrated Model. Online Learning, 21(3), 166-190.
Raman, A., Don, Y., Khalid, R., &Rizuan, M. J. A. S. S. (2014). Usage of learning management system (Moodle) among postgraduate students: UTAUT model. 10(14), 186.
Saleem, N. E., Al-Saqri, M. N., & Ahmad, S. E. (2016). Acceptance of Moodle as a teaching/learning tool by the faculty of the department of information studies at Sultan Qaboos University, Oman based on UTAUT. 6(2), 5-27.
Samaradiwakara, G., & Gunawardena, C. (2014). Comparison of existing technology acceptance theories and models to suggest a well improved theory/model. International Technical Sciences Journal (ITSJ). 1(1), 21-36.
Sánchez, R. A., &Hueros, A. D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. 26(6), 1632-1640.
Å umak, B., HeriÄko, M., PuÅ¡nik, M., &PolanÄiÄ, G. (2011). Factors affecting acceptance and use of Moodle: An empirical study based on TAM. Informatica, 35(1).
Susana, O., Juanjo, M., Eva, T., & Ana, I. (2015). Improving graduate students learning through the use of Moodle. 10(5), 604-614.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. 46(2), 186-204.
Venter, P., Jansen van Rensburg, M., & Davis, A. (2012). Drivers of learning management system use in a South African open and distance learning institution. Australasian Journal of Educational Technology,28(2):183-198.
Walker, R., Brown, M., Moore, C., & Hughes, H. (2011). The move to Moodle: Perspective of academics in a College of Business. Changing Demands, Changing Directions. Proceedings asci lite Hobart, 1275-1280.
Wood, S. L. (2010). Technology for teaching and learning: Moodle as a tool for higher education. International journal of teaching and learning in higher education, 22(3), 299-307.
Wu, W.-S., & Hua, C. (2008). The application of Moodle on an EFL collegiate writing environment. Journal of education and foreign languages and literature, 7(1), 45-56.
Zakaria, E., & Daud, M. Y. (2013). The role of technology: Moodle as a teaching tool in a graduate Mathematics Education course. Asian Journal of management sciences & education, 2(4).
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Copyright (c) 2020 Abdallah Ziraba, Godwill Chenyuei Akwene, Atabong nee Alemanjoh Mariana Nkea, Shiynsa Charles Lwanga
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