https://doi.org/10.71380/GERR-04-2024-7
Abstract
Purpose – This study explores the impact of Learning Management System (LMS) usage on the online learning experience at Universitas Islam Negeri (UIN) Maulana Malik Ibrahim Malang, Indonesia during the COVID-19 pandemic. It aims to evaluate student satisfaction and identify challenges faced during this transition, contributing to the broader discussion on optimizing LMS for enhancing student outcomes and satisfaction in higher education, particularly in times of crisis.
Methods/Design/Approach – A quantitative descriptive approach was employed, with data collected from 400 respondents through online surveys using Likert-scale questions. The sample included students and faculty members involved in online learning. The study used statistical analysis to assess satisfaction levels and identify key challenges in LMS adoption, particularly focusing on the use of the MOODLE platform.
Findings – The use of MOODLE LMS increased from 18.5% in the first semester of the pandemic to 51% in the second semester, reflecting greater platform acceptance. Students reported moderate satisfaction with an overall score of 3.8 out of 5. Challenges included limited internet access (63.5%), insufficient internet quota subsidies (63.3%), and low satisfaction with academic services (2.73) and online learning policy promotion (2.76).
Originality/Value – This study provides insights into LMS adoption in a specific educational and cultural context, highlighting both the potential and the challenges of digital learning platforms during a global crisis. It offers practical recommendations for improving LMS design and implementation in higher education.
Practical Implications – The findings suggest universities should enhance digital infrastructure and offer financial support to overcome technical barriers such as limited internet access. Improving academic services and promoting clearer online learning policies will further increase LMS effectiveness and student satisfaction.
Keywords LMS, MOODLE, student satisfaction, online learning, COVID-19 pandemic.
Paper type Research paper
Keywords
References
Alfalah, A. A. (2023). Factors influencing students’ adoption and use of mobile learning management systems (m-LMSs): A quantitative study of Saudi Arabia. International Journal of Information Management Data Insights, 3(1), 100143.
Al-Ghurbani, A. M., Jazim, F., Abdulrab, M., Al-Mamary, Y. H. S., & Khan, I. (2022). The impact of internal factors on the use of technology in higher education in Saudi Arabia during the COVID-19 pandemic. Human Systems Management, 41(2), 283–302.
Balkaya, S., & Akkucuk, U. (2021). Adoption and use of learning management systems in education: The role of playfulness and self-management. Sustainability, 13(3), 1127.
Bickel, P. J., & Doksum, K. A. (2015). Mathematical statistics: Basic ideas and selected topics. CRC Press.
Buchanan, E. A., & Hvizdak, E. E. (2009). Online survey tools: Ethical and methodological concerns of human research ethics committees. Journal of Empirical Research on Human Research Ethics, 4(2), 37–48. https://doi.org/10.1525/jer.2009.4.2.37
Cheng, M., Tao, D., Xie, S., Cao, X., & Yuen, A. H. (2022). Exploring students’ learning management system acceptance patterns: Antecedents and consequences of profile membership. Computers in Human Behavior, 135, 107374.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th, Ed.). SAGE Publications.
Dalsgaard, C. (2006). Social software: E-learning beyond learning management systems.
Dogoriti, E., Pange, J., & S. Anderson, G. (2014). The use of social networking and learning management systems in English language teaching in higher education. Campus-Wide Information Systems, 31(4), 254–263. https://doi.org/10.1108/CWIS-11-2013-0062
Hertzum, M., & Hornbæk, K. (2023). Frustration: Still a Common User Experience. ACM Trans. Comput.-Hum. Interact., 30(3), 42:1-42:26. https://doi.org/10.1145/3582432
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1–55.
Lisnani, Zulkardi, Putri, R. I. I., & Somakim. (2020). Etnomatematika: Pengenalan Bangun Datar Melalui Konteks Museum Negeri Sumatera Selatan Balaputera Dewa. Mosharafa: Jurnal Pendidikan Matematika, 9(3), Article 3. https://doi.org/10.31980/mosharafa.v9i3.618
Lwande, C., Muchemi, L., & Oboko, R. (2021). Identifying learning styles and cognitive traits in a learning management system. Heliyon, 7(8).
Mehrolia, S., Alagarsamy, S., & Sabari, M. I. (2021). Moderating effects of academic involvement in web-based learning management system success: A multigroup analysis. Heliyon, 7(5).
Nakamura, W. T., Marques, L. C., Redmiles, D., de Oliveira, E. H. T., & Conte, T. (2023). Investigating the Influence of Different Factors on the UX Evaluation of a Mobile Application. International Journal of Human–Computer Interaction, 39(20), 3948–3968. https://doi.org/10.1080/10447318.2022.2108658
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544.
Shaltoni, A. M., Khraim, H., Abuhamad, A., & Amer, M. (2015). Exploring students’ satisfaction with universities’ portals in developing countries: A cultural perspective. The International Journal of Information and Learning Technology, 32(2), 82–93. https://doi.org/10.1108/IJILT-12-2012-0042
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.
Toring, H., Legaspi, G., Omolon, J., Amadeo, R., Amadeo, E., Opolentisima, Q., Barina, V., Cacho, T., Illustrimo, F., & Cortes, S. (2022). Evaluation of students’ satisfaction toward an adopted learning management system at Indiana Aerospace University: A structural equation modelling approach. Asia Pacific Management Review.
Wright, K. B. (2005). Researching internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer-Mediated Communication, 10(3). https://doi.org/10.1111/j.1083-6101.2005.tb00259.x
Licensing
©️ 2024 The Author(s). Published by Global Educational Research Review.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The terms of this license allow the posting of the Accepted Manuscript or Published Version in institutional or subject repositories by the author(s).
Reprints and Permissions
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0
International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Permission is not required to reuse this article, in part or whole, as long as proper attribution is given
to the original work.
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References
Alfalah, A. A. (2023). Factors influencing students’ adoption and use of mobile learning management systems (m-LMSs): A quantitative study of Saudi Arabia. International Journal of Information Management Data Insights, 3(1), 100143.
Al-Ghurbani, A. M., Jazim, F., Abdulrab, M., Al-Mamary, Y. H. S., & Khan, I. (2022). The impact of internal factors on the use of technology in higher education in Saudi Arabia during the COVID-19 pandemic. Human Systems Management, 41(2), 283–302.
Balkaya, S., & Akkucuk, U. (2021). Adoption and use of learning management systems in education: The role of playfulness and self-management. Sustainability, 13(3), 1127.
Bickel, P. J., & Doksum, K. A. (2015). Mathematical statistics: Basic ideas and selected topics. CRC Press.
Buchanan, E. A., & Hvizdak, E. E. (2009). Online survey tools: Ethical and methodological concerns of human research ethics committees. Journal of Empirical Research on Human Research Ethics, 4(2), 37–48. https://doi.org/10.1525/jer.2009.4.2.37
Cheng, M., Tao, D., Xie, S., Cao, X., & Yuen, A. H. (2022). Exploring students’ learning management system acceptance patterns: Antecedents and consequences of profile membership. Computers in Human Behavior, 135, 107374.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th, Ed.). SAGE Publications.
Dalsgaard, C. (2006). Social software: E-learning beyond learning management systems.
Dogoriti, E., Pange, J., & S. Anderson, G. (2014). The use of social networking and learning management systems in English language teaching in higher education. Campus-Wide Information Systems, 31(4), 254–263. https://doi.org/10.1108/CWIS-11-2013-0062
Hertzum, M., & Hornbæk, K. (2023). Frustration: Still a Common User Experience. ACM Trans. Comput.-Hum. Interact., 30(3), 42:1-42:26. https://doi.org/10.1145/3582432
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1–55.
Lisnani, Zulkardi, Putri, R. I. I., & Somakim. (2020). Etnomatematika: Pengenalan Bangun Datar Melalui Konteks Museum Negeri Sumatera Selatan Balaputera Dewa. Mosharafa: Jurnal Pendidikan Matematika, 9(3), Article 3. https://doi.org/10.31980/mosharafa.v9i3.618
Lwande, C., Muchemi, L., & Oboko, R. (2021). Identifying learning styles and cognitive traits in a learning management system. Heliyon, 7(8).
Mehrolia, S., Alagarsamy, S., & Sabari, M. I. (2021). Moderating effects of academic involvement in web-based learning management system success: A multigroup analysis. Heliyon, 7(5).
Nakamura, W. T., Marques, L. C., Redmiles, D., de Oliveira, E. H. T., & Conte, T. (2023). Investigating the Influence of Different Factors on the UX Evaluation of a Mobile Application. International Journal of Human–Computer Interaction, 39(20), 3948–3968. https://doi.org/10.1080/10447318.2022.2108658
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544.
Shaltoni, A. M., Khraim, H., Abuhamad, A., & Amer, M. (2015). Exploring students’ satisfaction with universities’ portals in developing countries: A cultural perspective. The International Journal of Information and Learning Technology, 32(2), 82–93. https://doi.org/10.1108/IJILT-12-2012-0042
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.
Toring, H., Legaspi, G., Omolon, J., Amadeo, R., Amadeo, E., Opolentisima, Q., Barina, V., Cacho, T., Illustrimo, F., & Cortes, S. (2022). Evaluation of students’ satisfaction toward an adopted learning management system at Indiana Aerospace University: A structural equation modelling approach. Asia Pacific Management Review.
Wright, K. B. (2005). Researching internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer-Mediated Communication, 10(3). https://doi.org/10.1111/j.1083-6101.2005.tb00259.x
Licensing
©️ 2024 The Author(s). Published by Global Educational Research Review.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The terms of this license allow the posting of the Accepted Manuscript or Published Version in institutional or subject repositories by the author(s).
Reprints and Permissions
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0
International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Permission is not required to reuse this article, in part or whole, as long as proper attribution is given
to the original work.