AI-Driven Personalized Learning in MBA Education: Enhancing Engagement, Adaptability, and Career Readiness

Abstract

Artificial intelligence (AI) is advancing business education through more personal and individualized learning experiences based on the student’s needs. This research studies the effect of AI-driven learning platforms in MBA programs on how they use student performance, learning preferences, and career aspirations-based teaching in the field of curriculum content. With a survey-based methodology, data was obtained from MBA students to assess their perception of adopting AI-based personalized learning systems against their challenges about their willingness to accept them. Our findings also show that a great majority of students prefer adaptive learning methods compared to traditional ones, which indicates that AI works well in making learning more engaging and remembering. While being so promising, challenges about data privacy and overreliance on technology are key ones that must be resolved. This paper is motivated by these insights and is based on a proposed AI-based personalization of a learning platform that delivers adaptive content curation, real-time feedback mechanisms, career-aligned learning pathways, and solid data privacy governance. The study, however, underlines the division's chance that AI can reshape MBA education to be more adaptable and sufficient to each aspirant's official professional goals. Future research should find ways to real-world implementation strategies and the long-term effects of AI in business education.