CME Journal of Clinical Case Reports
- ISSN: 3067-7998
Adams Andrew Attah
The integration of Artificial Intelligence (AI) in entrepreneurial education is transforming how future business leaders develop essential skills such as innovation, decision-making, and problem-solving. This study explores the role of AI-driven tools and technologies in enhancing entrepreneurial learning through adaptive simulations, personalized learning systems, and datadriven insights. Grounded in Experiential Learning Theory (Kolb, 1984), the research examines how AI facilitates hands-on, practical learning experiences that strengthen entrepreneurial competencies. Employing a qualitative research methodology, this study utilizes case studies and in-depth interviews with educators, students, and AI developers involved in AI-driven entrepreneurial education programs. The research focuses on key themes such as AI’s role in fostering creativity, business adaptability, and strategic thinking. Expected findings suggest that AI enhances entrepreneurial education by providing immersive, real-world business simulations, enabling personalized learning, and fostering data-driven decision-making. The study contributes to the ongoing discourse on AI in education and offers recommendations for effectively integrating AI into entrepreneurial curricula.