Exploring the Role of AI in Enhancing Personalized Learning among College Students
Authors
Assistant Professor, Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh (India)
Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh (India)
Attota Leela Venkata Naga Sailaja
Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh (India)
Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh (India)
Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh (India)
Article Information
Publication Timeline
Submitted: 2025-10-10
Accepted: 2025-10-17
Published: 2025-10-27
Abstract
This study looks at how Artificial Intelligence (AI) improves personalized learning for college students. It used a mixed-method approach with 300 students from three colleges. The findings show that students using AI performed better academically, with a mean GPA of 7.6 compared to 6.8 for those in traditional classes. AI personalization, engagement, and motivation accounted for 42% of the performance improvement. Qualitative insights revealed benefits like self-paced learning, better feedback, and increased confidence. However, there were also concerns about over-reliance and data privacy. The research concludes that AI significantly enhances learning outcomes and motivation, but it needs ethical oversight and faculty training for successful integration.
Keywords
AI, Personalized Learning, Higher Education, Motivation, Student Performance
Downloads
References
1. du Plooy, E. (2024). Personalized adaptive learning in higher education: Impact on academic performance and engagement. Journal of Educational Technology, 18(2), 102-117. [Google Scholar] [Crossref]
2. Vorobyeva, K. I. (2025). Pedagogical approaches in AI-supported personalized learning systems. Contemporary Educational Technology, 17(2), ep574. [Google Scholar] [Crossref]
3. Abbas, A., & Greenhow, C. (2023). AI and machine learning for adaptive learning environments in higher education. International Journal of Educational AI, 15(1), 45-63. [Google Scholar] [Crossref]
4. Khor, K., & Ogata, H. (2024). Enhancing student learning outcomes through AI-powered intelligent tutoring systems. Education and Information Technologies, 29(3), 431-450. [Google Scholar] [Crossref]
5. Bayly-Castaneda, A., et al. (2024). Advanced AI personalization in blended and mobile learning environments. Journal of Mobile Learning and Technology, 12(4), 210-225. [Google Scholar] [Crossref]
6. Johnson, A., & Lee, C. (2023). Ethical concerns in educational AI: Privacy, bias, and transparency. Ethics in Digital Learning, 7(1), 21–37. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- The Indirect Effect of Liquidity and Activity on Company Value with Profitability as an Intervening Variable
- Effect of Financial Skills, Knowledge, and Attitude on The Financial Behaviour of Clergy
- A Decade of Review: Trends in Budget Execution and Financial Performance of Development Projects in Tanzania (2014/15-2023/24)
- The Influence of Pre-Project Planning on the Budget Absorption Rate of Public Funded Infrastructure Projects in Kenya a Comparative Case Study of Narok, Migori, and Kisii County Government Projects
- Assessment of Factors Influencing Digital Transformation in Hotels’ Facility Management in Abuja Metropolis, Nigeria