GAMIFICATION-DRIVEN E-LEARNING MANAGEMENT FOR IMPROVED SELF-REGULATED LEARNING: MEDIATING EFFECTS OF MOTIVATION AND ENGAGEMENT WITH LEARNING ANALYTICS SUPPORT

Authors

  • Lia Saniah Universitas Muhammadiyah Sukabumi, Sukabumi, Indonesia
  • Siti Saodah Susanti STAI Yamisa, Bandung, Indonesia

DOI:

https://doi.org/10.37478/jpm.v7i2.7201

Abstract

Independent learning process management is commonly expected of students in online learning contexts; however, many students struggle to maintain motivation and engagement, which may hinder the development of Self-Regulated Learning (SRL). Students' motivation, engagement, and self-regulation in digital learning contexts need to be supported by instructional approaches, as this condition emphasizes. This study aims to explore the impact of integrating Learning Analytics Support into gamification to enhance student motivation and engagement, thereby strengthening Self-Regulated Learning (SRL) in online learning. This quantitative study uses Structural Equation Modeling (SEM) to analyze data collected from 100 students in senior high schools in Cianjur Regency. The results show that gamification greatly enhances SRL by raising student involvement and motivation. Motivation and engagement act as key mediators in the relationship between gamification and SRL, with gamification enhancing these factors through elements such as points, badges, and leaderboards, which encourage active participation and sustained effort. While Learning Analytics Support (LAS) did not show a significant direct effect on SRL, its role in providing real-time feedback and tracking progress supports the development of self-regulation when combined with gamification. These findings suggest that integrating gamification with learning analytics can create a learning environment that supports students’ motivation, engagement, and self-regulated learning in online education. This study offers insights into the potential of combining these approaches to improve the effectiveness of digital learning strategies and enhance students' ability to manage their own learning processes.

Downloads

Download data is not yet available.

Keywords:

Gamification-driven, E-learning management, Learning analytics support, Self-regulated learning

References

Alam, M. I., Malone, L., Nadolny, L., Brown, M., & Cervato, C. (2023). Investigating the impact of a gamified learning analytics dashboard: Student experiences and academic achievement. Journal of Computer Assisted Learning, 39(5), 1436–1449. https://doi.org/10.1111/jcal.12853

Alrashedi, N. T., Alsulami, S. M. H., Flatah, A. I., Najmi, A. H., & Alhalafawy, W. S. (2024). The Effects of Gamified Platforms on Enhancing Learners’ Ambition. Journal of Ecohumanism, 3(8), 3393–3403. https://doi.org/10.62754/joe.v3i8.5004

Anazifa, R. D., Limiansi, K., & Pratama, A. T. (2023). Students’ Self-Regulated Learning based on Gender and Disciplinary Differences during Online Learning. Journal of Science Education Research, 7(1), 39–45. https://doi.org/10.21831/jser.v7i1.58174

Aryati, Yetti, E., Tarwiyah, T., Sumantri, M. S., Juriana, Prayudho, S., & Yafie, E. (2024). Assessing early childhood physical literacy score in Indonesia: exploring the correlation between teacher perception, active teacher involvement, and school status. Retos, 59, 165–171. https://doi.org/10.47197/retos.v59.105843

Ate?, H., & Gündüzalp, C. (2025). The convergence of GETAMEL and protection motivation theory: A study on augmented reality-based gamification adoption among science teachers. Education and Information Technologies, 30(12), 17361–17403. https://doi.org/10.1007/s10639-025-13480-1

Cavus, N., Ibrahim, I., Ogbonna Okonkwo, M., Bode Ayansina, N., & Modupeola, T. (2023). The Effects of Gamification in Education: A Systematic Literature Review. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 14(2), 211–241. https://doi.org/10.18662/brain/14.2/452

Choustoulakis, E., Athanasopoulou, P., Pollalis, Y., & Nikoloudakis, D. (2025). Integrating Artificial Intelligence with Gamification Techniques to Enhance Student Motivation and Engagement BT - Strategic Innovative Marketing and Tourism. In A. Kavoura, V.-A. Briciu, & A. Briciu (Eds.), Creative Solutions and Digital Transformation Challenges—11th ICSIMAT, Brasov, Romania, 2024 (pp. 533–541). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-81962-9_58

Christopoulos, A., & Mystakidis, S. (2023). Gamification in Education. Encyclopedia, 3(4), 1223–1243. https://doi.org/10.3390/encyclopedia3040089

Demartini, C. G., Sciascia, L., Bosso, A., & Manuri, F. (2024). Artificial Intelligence Bringing Improvements to Adaptive Learning in Education: A Case Study. Sustainability, 16(3), 1347. https://doi.org/10.3390/su16031347

Han, F., Vaculíková, J., & Juklová, K. (2022). The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1001202

Handayani, P. W., Raharjo, S. R., & Putra, P. H. (2021). Active Student Learning through Gamification in a Learning Management System. Electronic Journal of E-Learning, 19(6), pp601-613. https://doi.org/10.34190/ejel.19.6.2089

Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics to support study success in higher education: a systematic review. Educational Technology Research and Development, 68(4), 1961–1990. https://doi.org/10.1007/s11423-020-09788-z

Khiat, H., & Vogel, S. (2022). A self-regulated learning management system: Enhancing performance, motivation and reflection in learning. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/1.19.2.4

Komoder, A., Venaruzzo, L., & Young, C. (2023). Up-skilling learners through story-telling: Introducing the Learning Wave. ASCILITE Publications. https://doi.org/10.14742/apubs.2023.468

Lee, J. Y., Ju, S. Y., Guo, X., & Shin, Y. (2025). An Analysis of Self-regulated Learning Features of the Adaptive Learning Platform for K-12 Education. Korean Association For Learner-Centered Curriculum And Instruction, 25(2), 759–779. https://doi.org/10.22251/jlcci.2025.25.2.759

Luria, E. (2022). Revisiting the Self-Determination Theory-Motivating the Unmotivated. Educational Practice and Theory, 44(2), 5–14. https://doi.org/10.7459/ept/44.2.02

Nguyen, V. T. T., & Chen, H.-L. (2023). Examining impacts of information system success and perceived stress on students’ self-regulated learning mediated by intrinsic motivation in online learning environments: second-order structural equation modelling analyses. Education and Information Technologies, 28(10), 12945–12968. https://doi.org/10.1007/s10639-023-11685-w

Nieva, A., & Prudente, J. (2022). Online self-regulated learning, academic performance, and well-being of Senior High School Students in the NCR: A mediation analysis. Bedan Research Journal, 7(1), 48–62. https://doi.org/10.58870/berj.v7i1.32

Pausch, J. (2023). SRL-O and gamification–the connection between the two elements in online learning platforms supporting learning goals. MAP Education and Humanities, 3(1), 64–74. https://doi.org/10.53880/2744-2373.2023.3.1.64

Santoso, H. B., Riyanti, R. D., Prastati, T., S., F. T. H., Susanty, A., & Yang, M. (2022). Learners’ Online Self-Regulated Learning Skills in Indonesia Open University: Implications for Policies and Practice. Education Sciences, 12(7), 469. https://doi.org/10.3390/educsci12070469

Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. A. (2020). Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation. Computers in Human Behavior, 107, 105512. https://doi.org/10.1016/j.chb.2018.05.004

Smirani, L., & Yamani, H. (2024). Analysing the Impact of Gamification Techniques on Enhancing Learner Engagement, Motivation, and Knowledge Retention: A Structural Equation Modelling Approach. Electronic Journal of E-Learning, 22(9), 111–124. https://doi.org/10.34190/ejel.22.9.3563

Sormin, E. (2025). Exploring the Relationship between Students’ Digital Literacy and Analytical Skills in Chemistry Education. Asian Journal of Education and Social Studies, 51(9), 29–35. https://doi.org/10.9734/ajess/2025/v51i92342

Sousa, E. B. G. de, Alexandre, B., Ferreira Mello, R., Pontual Falcão, T., Vesin, B., & Gaševi?, D. (2021). Applications of Learning Analytics in High Schools: A Systematic Literature Review. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.737891

Xu, Z., Zhao, Y., Liew, J., Zhou, X., & Kogut, A. (2023). Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review. Educational Research Review, 39, 100510. https://doi.org/10.1016/j.edurev.2023.100510

Yafie, E., Samah, N. A., Mohamed, H., & Haqqi, Y. A. (2020). Collaborative mobile seamless learning (CMSL) based on android apps to improving critical thinking in higher education in the post-Covid-19 era. Journal of Advanced Research in Dynamical and Control Systems, 12(SP7), 428–441. https://doi.org/10.5373/JARDCS/V12SP7/20202125

Yafie, E., Setyaningsih, D., Lestariningrum, A., Saodi, S., Herlina, H., & Wiranata, I. G. L. A. (2024). Exploring Merdeka Curriculum Implementation in Diverse Preschools Settings: A Comparative Analysis of Principal Perceptions in Public and Private Schools with Varied Accreditation Levels. Participatory Educational Research, 11(5), 41–58. https://doi.org/10.17275/per.24.63.11.5

Yang, W., Fang, M., Xu, J., Zhang, X., & Pan, Y. (2024). Exploring the Mediating Role of Different Aspects of Learning Motivation between Metaverse Learning Experiences and Gamification. Electronics, 13(7), 1297. https://doi.org/10.3390/electronics13071297

Zhidkikh, D., Saarela, M., & Kärkkäinen, T. (2023). Measuring self?regulated learning in a junior high school mathematics classroom: Combining aptitude and event measures in digital learning materials. Journal of Computer Assisted Learning, 39(6), 1834–1851. https://doi.org/10.1111/jcal.12842

Zhou, W., Zhao, L., & Kaabar, M. (2022). The Effect of Teachers’ Support on Learners’ Online Self-Regulated Learning: Mediating Analysis Based on Self-Efficacy. International Journal of Emerging Technologies in Learning (IJET), 17(17), 207–217. https://doi.org/10.3991/ijet.v17i17.34027

Downloads

Published

2026-04-11

How to Cite

Saniah, L., & Susanti, S. S. (2026). GAMIFICATION-DRIVEN E-LEARNING MANAGEMENT FOR IMPROVED SELF-REGULATED LEARNING: MEDIATING EFFECTS OF MOTIVATION AND ENGAGEMENT WITH LEARNING ANALYTICS SUPPORT. Prima Magistra: Jurnal Ilmiah Kependidikan, 7(2), 354-366. https://doi.org/10.37478/jpm.v7i2.7201