REIMAGINING EDUCATION IN INDIA: LEVERAGING ARTIFICIAL INTELLIGENCE AND EDUCATION 4.0 UNDER NEP 2020

Abstract

The present study investigates the integration of Artificial Intelligence (AI) with the principles of Education 4.0 in advancing the transformative objectives of India’s National Education Policy (NEP) 2020. The study seeks to assess the level of AI adoption within educational institutions and examine its influence on personalized learning, teaching effectiveness and institutional preparedness. A mixed-methods research design was adopted, combining quantitative survey data collected from 180 participants including students, teachers and administrators with qualitative insights obtained through semi-structured interviews to explore experiences and challenges related to AI-enabled learning. Quantitative analysis using descriptive statistics, correlation and regression techniques indicated a high level of AI adoption (mean = 4.1), substantial enhancement in personalized learning (mean = 4.0) and significant improvement in teaching efficiency (mean = 3.9). The findings revealed a moderate positive correlation between AI usage and personalized learning (r = 0.61), while regression analysis demonstrated a significant impact of AI-driven practices on learning outcomes (β = 0.47, p < .01). Qualitative results further highlighted increased learner engagement and reduced instructional workload, alongside challenges related to infrastructural limitations and the need for professional training. Overall, the study affirms that AI plays a pivotal role in realizing the vision of Education 4.0 and NEP 2020 by enhancing learning outcomes, while also underscoring the importance of equitable digital infrastructure and the ethical implementation of AI in education.Top of Form