Transformative teaching in management statistics: Integrating real‐world experiences and artificial intelligence

Abstract Traditional lecture‐based teaching methods can fall short of preparing students for the complexities of modern workplaces. With the arrival of generative AI (GenAI) in both workplaces and academia, faculty must choose whether and how to introduce students to the powers of artificial intelligence. This teaching brief explores the implementation of a series of scaffolded lessons using GenAI in a quantitative, undergraduate operations management course. Leveraging Fink's theory of significant learning and Kuh's High Impact Practices (HIPs), the initiative integrates real‐world applications of artificial intelligence to enhance student learning and career readiness. This brief explains how the teaching innovation allowed students to compare the practical value of Excel versus ChatGPT in conducting statistical analysis. Industry experts and a site visit provided insights into the use of generative AI in business contexts. Results indicate that these course enhancements elevate student interest in operations management and business analytics and offer a model for future improvements in business education.