International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 3
May-June 2026
Indexing Partners
Effectiveness of Artificial Intelligence-Enabled Learning Tools in Enhancing Academic Performance and Personalized Education
| Author(s) | Dr. Mayur Ravindra Koti, Dr. Soumya Neelapally |
|---|---|
| Country | India |
| Abstract | ABSTRACT The rapid integration of Artificial Intelligence (AI) in education has significantly transformed teaching and learning processes. AI-enabled learning tools such as adaptive learning software, intelligent tutoring systems, automated assessments, and predictive analytics offer personalised learning pathways, improved feedback mechanisms, and enhanced academic performance. This study investigates the effectiveness of AI-enabled learning tools in higher education, focusing on student performance, learning engagement, and personalization. A survey-based empirical approach was adopted targeting teaching faculty in higher education institutions. The findings indicate that AI-enabled tools enhance academic performance by enabling personalized learning experiences, real-time assessments, and learning analytics-driven decision-making. The study highlights the need for faculty development, institutional support, and ethical implementation frameworks for effective AI adoption. The research contributes to the growing literature on learning technologies and provides practical insights for educators, academic leaders, and policymakers. |
| Keywords | Keywords: Artificial Intelligence, Personalized Education, Adaptive Learning, Academic Performance, Higher Education, Learning Analytics. |
| Field | Business Administration |
| Published In | Volume 8, Issue 3, May-June 2026 |
| Published On | 2026-05-11 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i03.78115 |
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E-ISSN 2582-2160
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