AI-Driven Pedagogy for the Modern Classroom: Transforming Teaching and Learning Across Disciplines

Dr. C. V. Krishnaveni

Abstract: The integration of Artificial Intelligence (AI) into educational settings marks a decisive shift in pedagogical philosophy, from standardised instruction to adaptive, learner-centric teaching. This paper examines how AI-powered tools function as dynamic teaching pedagogies across disciplines including Science, Humanities, Mathematics, and Engineering. Drawing on empirical data, institutional case studies, and real-world adoption statistics, the study demonstrates that AI does not simply automate existing teaching processes but fundamentally reframes the educator's role as a facilitator of intelligent, personalised learning environments. Key findings reveal that institutions deploying AI-driven pedagogy report measurable gains in learning outcomes, student engagement, and instructional efficiency. A comparative analysis of leading AI tools is presented alongside a critical discussion of ethical concerns, equity barriers, and a proposed four-stage framework for responsible AI integration in Indian higher education contexts. The study further highlights best practices from national platforms such as DIKSHA and SWAYAM and situates the Indian scenario within global adoption trends.

Keywords: Artificial Intelligence, Teaching Pedagogy, Adaptive Learning, Educational Technology, Interdisciplinary AI, Higher Education, Indian Education Policy