Theoretical framework examines impact of AI-powered learning analytics on student development, highlighting ethical concerns and data privacy issues.
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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Sarita et al. (2025) studied this question.
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