Enhancing Business Education with AI, Generative AI, and Prompt Engineering

This case study explores the integration of Artificial Intelligence (AI), Generative AI, and Prompt Engineering into undergraduate business education to improve student engagement, critical thinking, and real-world problem-solving skills. The study demonstrates how leveraging tools such as ChatGPT and Python-based platforms enhances students' understanding of data interpretation, model building, and decision-making by redesigning course content and activities in Business Statistics and Business Analytics classes. The research documents instructional strategies, learning outcomes, and student feedback from a semester-long implementation at a historically Black university (HBCU). Results indicate improved student performance, increased digital literacy, and more substantial interest in data-driven careers. The paper concludes with recommendations for business educators incorporating AI and prompt engineering into their teaching practice.