A COMPARATIVE STUDY OF ARTIFICIAL INTELLIGENCE ON LEARNING BEHAVIOR OF MANAGEMENT STUDENTS OF THE BHOPAL DISTRICT A SYSTEMATIC LITERATURE REVIEW

Abstract

This research undertakes a systematic literature review to comprehensively analyze the impact of Artificial Intelligence (AI) on the learning behavior of management students from the Bhopal district. Recognizing a gap in the existing literature concerning a focused examination of AI's effects on learning behavior, this study aims to fill this gap by providing a detailed review of relevant research from 2020 to 2025. Utilizing the PRISMA methodology, the review process began with an initial search of the Scopus, ERIC, WOS and ScienceDirect database, identifying 9406 papers, ultimately narrowing down to 29 articles that met the defined criteria for inclusion. The descriptive data suggests a concentration of research on higher education students, with a primary goal of enhancing cognitive learning behavior. While the reviewed studies are predominantly empirical, they collectively highlight the substantial potential of AI in improving educational processes across both school and university settings. This review seeks to illuminate how AI can positively influence learning behavior, Furthermore it emphasizes the importance of integrating technology into educational frameworks, aiming to elevate the overall quality of learning and equip management students in Bhopal district with the necessary skills to thrive in an increasingly digital world.