AI-Driven Education: Scaling Personalized Learning

Authors: Abhilash Deori

DOI: https://doi.org/10.37082/IJIRMPS.v13.i6.232815

Short DOI: https://doi.org/hbbkcz

Country: United States

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Abstract: Artificial intelligence is fundamentally transforming education delivery by enabling personalized learning at unprecedented scale. This paper examines how AI-driven education technology (EdTech) enhances learning experiences, improves student outcomes, and expands access to quality education in India's K-12 and higher education sectors. We employ comprehensive literature-based analysis supplemented by empirical case evidence from large-scale AI implementations in Indian public schools, analyzing the impact of AI on personalized learning pathways, data-driven pedagogical feedback loops, and digital content delivery mechanisms. Our findings demonstrate that AI algorithms systematically tailor instruction to individual student needs, substantially increasing engagement and academic performance across diverse contexts. Empirical results from deployments serving over 400,000 students in Indian state school systems reveal marked improvements in learning outcomes and operational efficiency, including significant gains in student proficiency (30% improvement in standardized assessments) and reductions in learning gaps (18% decrease in students performing below grade level). AI systems facilitate real-time feedback for teachers and policymakers through sophisticated learning analytics, supporting timely, data-informed pedagogical interventions. The Indian EdTech market, currently valued at $12.75 billion (2024), is projected to reach $61.25 billion by 2035, representing a compound annual growth rate (CAGR) of 15.34%, reflecting surging demand for technology-enhanced personalized education. However, persistent challenges regarding data privacy protection, equitable infrastructure access, algorithmic transparency, and adequate teacher professional development require systematic attention. This study underscores the transformative potential of AI-powered EdTech for delivering personalized, scalable education in India's context, while comprehensively discussing necessary strategies to ensure ethical implementation, broad-based accessibility, and sustained pedagogical effectiveness. The insights offered inform educators, technologists, and policymakers working to leverage AI for educational innovation and improved learning outcomes across socioeconomic strata.

Keywords: Artificial Intelligence, Personalized Learning, Education Technology, Student Outcomes, Learning Analytics, Adaptive Learning Systems, India, K-12 Education, Higher Education, Intelligent Tutoring Systems, Machine Learning, Scalability, Educational Equity, Digital Transformation

Paper Id: 232815

Published On: 2025-11-15

Published In: Volume 13, Issue 6, November-December 2025

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