Development of a Conceptual Framework for Implementing Learning Management System (LMS) in Higher Education: An Empirical Validation Study
DOI:
https://doi.org/10.21609/jsi.v21i2.1458Keywords:
Conceptual Framework, Learning Management System (LMS), Higher Education, e-learningAbstract
Higher education institutions today face increasingly complex challenges in adopting and implementing Learning Management Systems (LMS) to improve student learning experiences. Although previous research regarding LMSs exists, it has not fully explored the findings of their conceptual framework through empirical studies of Critical Success Factors (CSFs). This research provides in-depth details about the development of a conceptual framework designed to guide the LMS implementation process in higher education settings. The Systematic Literature Review (SLR) method is used to identify and introduce the main elements in this conceptual framework. Furthermore, the conceptual framework was validated through a series of questionnaires distributed to experts in the fields of education and information technology. The results of this research show that the conceptual framework developed covers important stages in LMS implementation, from planning to evaluation. Empirical validation carried out involving experts proves that the conceptual framework developed is valid as an instrument for implementing LMS in a higher education environment. The conclusions of this research provide valuable guidance for LMS implementation in higher education.
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References
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Alkarney, W., & Albraithen, M. (2018). Critical Success Factors for Learning Management System Implementation: Non-Scientific Colleges Case A Conceptual Model. 21st Saudi Computer Society National Computer Conference, NCC 2018, 1–6. https://doi.org/10.1109/NCG.2018.8592974
Alshehri, A., Rutter, M. J., & Smith, S. (2020). The Effects of Gender and Age on Students’ Use of a Learning Management System in Saudi Arabia. International Journal of Learning, 6(3), 135 – 145. https://doi.org/10.18178/IJLT.6.3.135-145
Azarov, V. N., & Mayboroda, V. P. (2020). Methods of Creating an Electronic University. 2020 International Conference Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS), 572–578. https://doi.org/10.1109/ITQMIS51053.2020.9322936
Buabeng-Andoh, C., & Baah, C. (2020). Pre-service teachers’ intention to use learning management system: an integration of UTAUT and TAM. Interactive Technology and Smart Education, 17(4), 455–474. https://doi.org/10.1108/ITSE-02-2020-0028
Cao, F., & Jian, Y. (2023). The Role of integrating AI and VR in fostering environmental awareness and enhancing activism among college students. Science of The Total Environment, 908(92), 168200. https://doi.org/10.1016/j.scitotenv.2023.168200
Ean Heng, L., Pei Voon, W., A. Jalil, N., Lee Kwun, C., Chee Chieh, T., & Fatiha Subri, N. (2021). Personalization of Learning Content in Learning Management System. Proceedings of the 2021 10th International Conference on Software and Computer Applications, 219–223. https://doi.org/10.1145/3457784.3457819
Gumasing, Ma. J. J., Vasquez, A. B., Doctora, A. L. S., & Perez, W. D. D. (2022). Usability Evaluation of Online Learning Management System: Comparison between Blackboard and Canvas. Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe), 25–31. https://doi.org/10.1145/3523132.3523137
Habib, M. (2023). Digital transformation strategy for developing higher education in conflict-affected societies. Social Sciences & Humanities Open, 8(1), 100627. https://doi.org/https://doi.org/10.1016/j.ssaho.2023.100627
Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature reviews in Software Engineering Version 2.3. Engineering. https://doi.org/https://doi.org/10.1145/1134285.1134500
Kuadey, N. A., Mahama, F., Ankora, C., Bensah, L., Maale, G. T., Agbesi, V. K., Kuadey, A. M., & Adjei, L. (2023). Predicting students’ continuance use of learning management system at a technical university using machine learning algorithms. Interactive Technology and Smart Education, 20(2), 209–227. https://doi.org/10.1108/ITSE-11-2021-0202
Masrani, S. A., Mohd Amin, M. R., Sivakumaran, V. M., & Piaralal, S. K. (2023). Important factors in measuring learners’ satisfaction and continuance intention in open and distance learning (ODL) institutions. Higher Education, Skills and Work-Based Learning, 13(3), 587–608. https://doi.org/10.1108/HESWBL-12-2022-0274
Mei, L., Feng, X., & Cavallaro, F. (2023). Evaluate and identify the competencies of the future workforce for digital technologies implementation in higher education. Journal of Innovation and Knowledge, 8(4), 100445. https://doi.org/10.1016/j.jik.2023.100445
Meskhi, B., Ponomareva, S., & Ugnich, E. (2019). E-learning in higher inclusive education: needs, opportunities and limitations. International Journal of Educational Management, 33(3), 424–437. https://doi.org/10.1108/IJEM-09-2018-0282
Mohammadi, M. K., Mohibbi, A. A., & Hedayati, M. H. (2021). Investigating the challenges and factors influencing the use of the learning management system during the Covid-19 pandemic in Afghanistan. Education and Information Technologies, 26(5), 5165 – 5198. https://doi.org/10.1007/s10639-021-10517-z
Nguyen, N.-T. (2021). A study on satisfaction of users towards learning management system at International University – Vietnam National University HCMC. Asia Pacific Management Review, 26(4), 186–196. https://doi.org/10.1016/j.apmrv.2021.02.001
Opoku, M. P., Elhoweris, H., Alhosani, N., Mustafa, A., Alkhateri, T., & Nketsia, W. (2023). Factors influencing the intention of trainee special education teachers to integrate assistive technology into teaching students with disabilities in the United Arab Emirates. Heliyon, 9(12), e22736. https://doi.org/10.1016/j.heliyon.2023.e22736
Ratumanan, T., Laurens, T. (2006). Evaluasi Belajar yang Relevan dengan KBK. Surabaya : Unesa University Press.
Singh, P., Alhassan, I., Binsaif, N., & Alhussain, T. (2023). Standard Measuring of E-Learning to Assess the Quality Level of E-Learning Outcomes: Saudi Electronic University Case Study. Sustainability (Switzerland), 15(1). https://doi.org/10.3390/su15010844
Strakos, J. K., Douglas, M. A., McCormick, B., & Wright, M. (2023). A learning management system-based approach to assess learning outcomes in operations management courses. The International Journal of Management Education, 21(2), 100802. https://doi.org/10.1016/j.ijme.2023.100802
Sulaiman, T. T. (2023). A systematic review on factors influencing learning management system usage in Arab gulf countries. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11936-w
Sulisworo, D., Wulandari, Y., Effendi, M. S., & Alias, M. (2021). Exploring the online learning response to predict students’ satisfaction. Journal of Physics: Conference Series, 1783(1). https://doi.org/10.1088/1742-6596/1783/1/012117
Syed, A. M., Ahmad, S., Alaraifi, A., & Rafi, W. (2021). Identification of operational risks impeding the implementation of eLearning in higher education system. Education and Information Technologies, 26(1), 655 – 671. https://doi.org/10.1007/s10639-020-10281-6
Theresiawati, Seta, H. B., Hidayanto, A. N., & Abidin, Z. (2020). Variables affecting e-learning services quality in Indonesian higher education: Students’ perspectives. Journal of Information Technology Education: Research, 19, 259 – 286. https://doi.org/10.28945/4489
Yue, S., Wei, J., Aziz, H., & Liew, K. (2023). A study on the effectiveness of self-assessment learning system of ideological and political education for college students. Learning and Motivation, 84(September), 101929. https://doi.org/10.1016/j.lmot.2023.101929
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Published
2025-10-01
How to Cite
Akhsan, R. R., Putra, D. L. S., Sensuse, D. I., Hidayat, D. S., & Purwaningsih, E. H. (2025). Development of a Conceptual Framework for Implementing Learning Management System (LMS) in Higher Education: An Empirical Validation Study. Jurnal Sistem Informasi, 21(2), 1–12. https://doi.org/10.21609/jsi.v21i2.1458
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