Navigating the AI Frontier: Transforming Teaching Learning Practices in Management Education

Abstract

The integration of Artificial Intelligence (AI) technologies in the field of management education marks a monumental paradigm shift, catalyzing an era of unprecedented innovation and adaptability. Personalized learning is at the vanguard of this revolutionary journey, using AI algorithms to accurately customize learning experiences to each management student’s particular needs, speed, and learning style. This article explores the theoretical underpinnings, real-world applications, and possible effects of customized learning on student engagement, academic achievement, and the learning process as a whole in the context of management education. This study attempts to shed light on the potential and difficulties associated with the implementation of customized learning techniques in management education through a thorough analysis of relevant literature and perceptive case studies. In addition, it offers insightful information about how business school instructors may best utilize AI-powered tools to maximize the learning outcomes of prospective management students, promoting an innovative and ever-improving culture in learning environments.

Keywords: Artificial Intelligence, Management Education, Personalized Learning, Student Engagement, Academic Performance

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