International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Transforming Student Learning Through Artificial Intelligence: Evidence from Personalization, Accessibility, and Pedagogical Innovation

Author(s) Prof. Aarti Fakirgouda Malagoudar, Prof. Arogyaswamy A Karadi
Country India
Abstract This study investigates the impact of artificial intelligence (AI) on student learning processes within contemporary educational environments, with a specific focus on personalization, accessibility, and pedagogical transformation. Employing a mixed-methods research design, the study integrates systematic literature analysis, an institutional case study, and quantitative empirical evidence to examine both the benefits and limitations of AI-enabled learning systems. The findings indicate that AI-driven personalization and adaptive feedback mechanisms significantly enhance student engagement and learning efficiency, particularly by supporting individualized learning pathways and improving access for diverse learner groups. However, the results also reveal critical challenges, including the potential erosion of independent critical thinking skills, emerging concerns related to educational equity, and heightened risks surrounding data privacy and ethical governance. The study demonstrates that the educational effectiveness of AI is highly contingent upon pedagogical integration and institutional support rather than technological capability alone. By providing empirically grounded insights, this research contributes to the growing body of scholarship on AI in education and offers practical implications for educators, institutions, and policymakers seeking to implement AI in a manner that augments learning outcomes while preserving the essential human dimensions of education.
Keywords • Artificial Intelligence in Education • Personalized Learning • Adaptive Learning Systems • Pedagogical Innovation • Student Engagement • Educational Accessibility • Learning Analytics • AI Ethics in Education
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-31
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.65191
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E-ISSN 2582-2160
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