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AI-Powered Learning Analytics: Exploring Opportunities and Risks for Student Development

Year: 2025

Type: article

Abstract: 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.

Source: RESEARCH REVIEW International Journal of Multidisciplinary

DOI: 10.31305/rrijm.2025.v10.n8.009

Authors: Sarita, Rajeev

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4413475672

FWCI: 1.932

Cites:

Cited by: 2

Related to: 10