AI-Powered Learning Analytics: Exploring Opportunities and Risks for Student Development
DOI:
https://doi.org/10.31305/rrijm.2025.v10.n8.009Keywords:
Artificial Intelligence, Learning Analytics, Student Development, Personalized Learning, Data Privacy, Ethical ConcernsAbstract
Artificial Intelligence (AI) is reshaping the landscape of education by introducing new tools for learning analytics. AI-powered learning analytics has the potential to enhance student development by providing insights into learning patterns, predicting outcomes, and enabling personalized education. However, alongside opportunities, it also brings risks such as ethical concerns, data privacy issues, and over-reliance on technology. This paper presents a theoretical framework to examine both the opportunities and risks of AI-powered learning analytics in student development. The analysis highlights the importance of balancing technological advancement with ethical safeguards, ensuring that AI contributes positively to inclusive and holistic student growth.
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Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics for study success: Reflections on current empirical findings. Research and Practice in Technology Enhanced Learning, 15(1), 1-13.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an open access article under the CC BY-NC-ND license Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0).
