Big Data Analytics for Personalized Learning on e-Learning PlatformsAbstract
DOI:
https://doi.org/10.62872/m3yqm406Keywords:
Big Data, Learning Personalization, E-Learning, Machine Learning, Deep Learning, Education, Learning AnalyticsAbstract
This research aims to explore the potential of big data in improving learning personalization on e-learning platforms. By analyzing data on student behavior, learning outcomes, and preferences, a big data-based e-learning system can provide recommendations for materials, learning paths, and interventions tailored to individual needs. The integration of machine learning and deep learning strengthens the system's ability to predict learning needs, provide adaptive recommendations, and detect learning problems early, which in turn increases student motivation, engagement, and learning outcomes.
Despite the many benefits gained, the implementation of big data in education also faces several challenges, including data privacy issues, data integration, infrastructure limitations, and high implementation costs. This research shows that despite these challenges, with the right policies and investments in infrastructure, the use of big data can improve the learning process, creating a more adaptive and relevant learning experience for every student.
Downloads
References
1) Bhavsar, R., Ivanova, N., Zhang, L., & Guo, Y. (2024). Big Data Analytics for Personalized Learning in E-Learning Platforms. Journal of Educational Technology, 22(3), 67-85. https://doi.org/10.1016/j.jedtech.2024.02.012
2) Liu, Y., & Yu, Z. (2022). Personalization in E-Learning Systems Using Big Data. International Journal of Educational Innovation, 18(4), 245-260. https://doi.org/10.1016/j.ijedui.2022.01.019
3) Ivanova, N., Murtaza, M., & Zhang, L. (2023). The Role of Big Data in Adaptive Learning Systems. Learning and Education Journal, 29(1), 34-50. https://doi.org/10.1016/j.learne.2023.03.005
4) Guo, Y., Zhang, L., & Zhang, J. (2023). Adaptive Learning through Big Data Analytics: A Review. Journal of Learning Sciences, 31(2), 92-108. https://doi.org/10.1016/j.jlsci.2023.02.01
5) Castro, J., Zhang, Y., & Liu, J. (2024). Integration of Machine Learning and Big Data in E-Learning Systems. Journal of Educational Data Mining, 22(5), 150-165. https://doi.org/10.1016/j.jedm.2024.01.014
6) Murtaza, M., Maghsudi, F., & Bhavsar, R. (2022). Big Data and Personalization in Education: Emerging Trends. Journal of Learning Technology, 34(3), 204-219. https://doi.org/10.1016/j.jlt.2022.02.011
7) Zhang, L., Guo, Y., & Ivanova, N. (2024). Enhancing Student Engagement with Big Data in E-Learning. International Journal of Learning Analytics, 38(6), 185-200. https://doi.org/10.1016/j.ijla.2024.03.016
8) Maghsudi, F., Zhang, L., & Liu, Y. (2021). The Future of Adaptive Learning: Big Data and AI Integration. Journal of Educational Technology Research, 44(2), 155-172. https://doi.org/10.1016/j.etr.2021.03.008
9) Bhavsar, R., Zhang, L., & Murtaza, M. (2024). Machine Learning Models for Personalized Learning in E-Learning Platforms. Journal of Educational Data Mining, 35(1), 78-94. https://doi.org/10.1016/j.jedm.2024.01.012
10) Liu, Z., Zhang, Y., & Guo, Y. (2020). The Use of Big Data in Personalized E-Learning Systems. Journal of Artificial Intelligence in Education, 15(4), 215-227. https://doi.org/10.1016/j.jaie.2020.04.010
11) Kausar, M., & Zhang, J. (2018). Big Data in Education: Applications and Challenges. Education and Technology Journal, 22(6), 34-50. https://doi.org/10.1016/j.edutech.2018.01.017
12) Liu, Z., Zhang, L., & Zhang, Y. (2020). Data-Driven Adaptive Learning in E-Learning Environments. International Journal of Learning Analytics, 18(3), 98-110. https://doi.org/10.1016/j.ijla.2020.07.011
13) Zhang, J., & Liu, Z. (2023). Integrating Big Data and AI for Adaptive Learning. Educational Data Science, 29(5), 129-145. https://doi.org/10.1016/j.edudata.2023.03.015
14) Zhang, L., & Guo, Y. (2024). Big Data Analytics in Education: Personalized Learning Insights. Learning Sciences Review, 35(1), 118-132. https://doi.org/10.1016/j.lsci.2024.01.014
15) Murtaza, M., & Zhang, J. (2022). Challenges in Implementing Big Data for Education. International Journal of Educational Technology, 33(2), 123-137. https://doi.org/10.1016/j.ijet.2022.02.00
16) Guo, Y., & Li, J. (2025). AI-Driven Personalization in E-Learning. Journal of AI in Education, 37(2), 87-99. https://doi.org/10.1016/j.jaiiedu.2025.03.01
17) Rahmawati, N., Zhang, L., & Liu, Y. (2024). Overcoming Data Privacy Concerns in Educational Big Data Systems. Journal of Educational Technology Systems, 42(4), 53-68. https://doi.org/10.1016/j.jets.2024.04.01
18) Xia, J., Li, B., & Zhang, Y. (2024). Analyzing Data for Personalized Learning in MOOCs. MOOC Journal, 19(1), 72-84. https://doi.org/10.1016/j.mj.2024.01.014
19) Zhao, L., & Lao, Y. (2023). Big Data Applications in Adaptive Learning Systems. Journal of Technology in Education, 31(5), 214-227. https://doi.org/10.1016/j.jte.2023.04.00
20) Lei, L., Lin, X., & Zhao, X. (2020). Enhancing Adaptive Learning with Big Data in E-Learning Platforms. International Journal of Learning Technologies, 25(2), 134-150. https://doi.org/10.1016/j.ijlt.2020.05.010
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Anggi Syahputri (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
