Abstract : Artificial Intelligence (AI) has emerged as a transformative force in the higher education sector, redefining traditional teaching–learning practices and institutional management. AI technologies such as machine learning, natural language processing, and data analytics are increasingly being integrated into academic environments to enhance efficiency, personalization, and decision-making. This study explores the role of AI in improving student learning experiences, supporting faculty in instructional delivery, and optimizing administrative functions. It also highlights the challenges such as ethical concerns, data privacy, and lack of infrastructure. The paper concludes that while AI offers immense potential to revolutionize higher education, its effective implementation requires strategic planning, training, and policy support. The integration of Artificial Intelligence (AI) into higher education has significantly transformed teaching and learning practices, particularly in Arts and Science institutions. This study aims to provide a comprehensive analysis of AI-driven teaching–learning practices, focusing on their adoption, effectiveness, and impact on academic outcomes. The research examines how AI technologies such as intelligent tutoring systems, adaptive learning platforms, automated assessment tools, and virtual assistants enhance instructional delivery, student engagement, and personalized learning experiences. The study adopts a descriptive and analytical research design, utilizing both primary and secondary data. Primary data were collected from faculty members and students through structured questionnaires, while secondary data were gathered from academic journals, reports, and institutional records. Various statistical tools, including percentage analysis, mean scores, and correlation techniques, were employed to interpret the data. The study considers key factors such as technological infrastructure, faculty readiness, institutional support, and awareness levels in determining the successful implementation of AI in teaching–learning processes. The findings reveal that AI has a positive influence on teaching efficiency, student engagement, and learning outcomes. It facilitates personalized education, reduces administrative burden, and supports innovative pedagogical approaches. However, challenges such as lack of technical expertise, insufficient training, high implementation costs, and ethical concerns remain significant barriers. The study concludes that with proper training, policy support, and infrastructure development, AI-driven teaching and learning practices can substantially enhance the quality of higher education in Arts and Science institutions.
Keywords: Artificial Intelligence, Higher Education, Teaching-Learning, Digital Transformation, Smart Education.
Dr .BABU VINOTH KUMAR Y. , Mr. P. SUKUMAR (2026); A COMPREHENSIVE STUDY ON ARTIFICIAL INTELLIGENCE-DRIVEN TEACHING AND LEARNING PRACTICES IN ARTS AND SCIENCE INSTITUTIONS, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-12, Issue-4, Available on – https://www.ijirmf.com/
