Impact of ChatGPT and LMS on Student Satisfaction, Engagement, and Self-Directed Learning : a Conceptual Paper

Yusril Saleh; Arry Widodo; R. Nurafn  Rubiyanti; Anita Silvianita

doi:10.55927/jfbd.v3i4.12725

Authors

Yusril Saleh Universitas Telkom
Arry Widodo Universitas Telkom
R. Nurafn Rubiyanti Universitas Telkom
Anita Silvianita Universitas Telkom

DOI:

https://doi.org/10.55927/jfbd.v3i4.12725

Keywords:

Chatgpt, Learning Management Systems, Student Satisfaction, Student Engagement, Self-Learning

Abstract

This study explores the integration of ChatGPT and Learning Management Systems (LMS) to enhance student satisfaction, engagement, and self-directed learning. ChatGPT provides personalized, interactive support, while LMS offers structured, collaborative tools, creating a comprehensive learning experience. Grounded in the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT), the research proposes a framework linking ChatGPT and LMS usage to improved outcomes. This integration addresses gaps in traditional learning approaches, fostering dynamic and adaptive education. The findings highlight the transformative potential of combining AI-driven tools and digital platforms, offering actionable strategies for educators and policymakers. Future research should empirically validate this framework across varied educational contexts to optimize learning environments and improve teaching effectiveness.

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References

Achour, K., Laanoui, M. D., & Ourahay, M. (2024). The impact of ChatGPT in-education A comprehensive overview. 2024 International Conference on Global Aeronautical Engineering and Satellite Technology, GAST 2024 - Proceedings. https://doi.org/10.1109/GAST60528.2024.10520810

Adel, A., Ahsan, A., & Davison, C. (2024). ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives. In Education Sciences (Vol. 14, Issue 8). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/educsci14080814

Ahmadi, G., Mohammadi, A., Asadzandi, S., Shah, M., & Mojtahedzadeh, R. (2023). What Are the Indicators of Student Engagement in Learning Management Systems? A Systematized Review of the Literature. In International Review of Research in Open and Distributed Learning (Vol. 24).

Al Faruq, M. S. S., Sunoko, A., Ibda, H., & Wahyudi, K. (2023). Digital Learning Management using OpenAI ChatGPT: A Systematic Literature Review. In International Journal of Learning, Teaching and Educational Research (Vol. 22, Issue 12, pp. 21–41). Society for Research and Knowledge Management. https://doi.org/10.26803/ijlter.22.12.2

Al Shloul, T., Mazhar, T., Abbas, Q., Iqbal, M., Ghadi, Y. Y., Shahzad, T., Mallek, F., & Hamam, H. (2024). Role of activity-based learning and ChatGPT on students’ performance in education. In Computers and Education: Artificial Intelligence (Vol. 6). Elsevier B.V. https://doi.org/10.1016/j.caeai.2024.100219

Al-Busaidi, K. A. (2012). Learners’ perspective on critical factors to LMS success in blended learning: An empirical investigation. Communications of the Association for Information Systems, 30(1), 11–34. https://doi.org/10.17705/1cais.03002

Alexandro, R., & Basrowi. (2024). Measuring the effectiveness of smart digital organizations on digital technology adoption: An empirical study of educational organizations in Indonesia. International Journal of Data and Network Science, 8(1), 139–150.

Alshahrani, A. (2023). Revolutionizing Blended Learning: Exploring Current Trends and Future Research Directions in the Era of ChatGPT. 7th International Conference on Business and Information Management, ICBIM 2023, 41–47. https://doi.org/10.1109/ICBIM59872.2023.10303267

Alshammari, S. H., & Alshammari, M. H. (2024). Factors Affecting the Adoption and Use of ChatGPT in Higher Education. International Journal of Information and Communication Technology Education, 20(1). https://doi.org/10.4018/IJICTE.339557

Barrot, J. S. (2024). ChatGPT as a Language Learning Tool: An Emerging Technology Report. Technology, Knowledge and Learning, 29(2), 1151–1156. https://doi.org/10.1007/s10758-023-09711-4

Bervell, B., Umar, I. N., & Kamilin, M. H. (2020). Towards a model for online learning satisfaction (MOLS): re-considering non-linear relationships among personal innovativeness and modes of online interaction. Open Learning, 35(3), 236–259. https://doi.org/10.1080/02680513.2019.1662776

Bettayeb, A. M., Abu Talib, M., Sobhe Altayasinah, A. Z., & Dakalbab, F. (2024). Exploring the impact of ChatGPT: conversational AI in education. In Frontiers in Education (Vol. 9). Frontiers Media SA.

Cabı, E., & Türkoğlu, H. (2024). AN ANALYSIS OF INTERACTION BEHAVIORS IN PERSONALIZED LEARNING. Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2024, IHCI 20244;

De Aires Angelino, F. J., Loureiro, S. M. C., & Bilro, R. G. (2021). Analysing students’ engagement in higher education through transmedia and learning management systems: A text mining approach. International Journal of Innovation and Learning, 30(4), 484–502. https://doi.org/10.1504/IJIL.2021.118875

Duy, H. T., Ngoc, C. T., & Hai, N. T. (2024). Building and using chatbots in the process of self-studying physics to improve the quality of learners’ knowledge. International Journal of Education and Practice, 12(4), 1165–1185. Https://Doi.Org/10.18488/61.V12i4.3859

Fasikhah, S. S., & Fatimah, S. (2013). Self-Regulated Learning (Srl) Dalam Meningkatkan Prestasi Akademik Pada Mahasiswa (Vol. 01, Issue 01).

Ghazal, S., Aldowah, H., & Umar, I. (2018). Critical factors to learning management system acceptance and satisfaction in a blended learning environment. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 5, pp. 688–698). https://doi.org/10.1007/978-3-319-59427-9_71

Goh, W. W., Hong, J. L., & Gunawan, W. (2014). Exploring Lecturers’ Perceptions of Learning Management System: An Empirical Study Based on TAM. International Journal of Engineering Pedagogy (IJEP), 4(3), 48. https://doi.org/10.3991/ijep.v4i3.3497

Green, L. S., Inan, F. A., & Denton, B. (2012). Examination of factors impacting student satisfaction with a new learning management system. Turkish Online Journal of Distance Education, 13(3), 189–197. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867603273&partnerID=40&md5=107deb1641f9f1316b641924a3129c40

Guo, Y. M., Klein, B. D., & Ro, Y. K. (2020). On the effects of student interest, self-efficacy, and perceptions of the instructor on flow, satisfaction, and learning outcomes. Studies in Higher Education, 45(7), 1413–1430. https://doi.org/10.1080/03075079.2019.1593348