Using GenAI for the Rapid Development of Interactive Business Case Assignments

Abstract

This article by Thomas Mays, Ph.D., explores the integration of generative artificial intelligence (GenAI) to streamline the development of interactive business case assignments in higher education. Traditional case development is time-consuming and often lacks alignment with course-specific outcomes, especially in programs focused on small business. Leveraging tools like ChatGPT and Articulate Storyline, Mays demonstrates how GenAI can rapidly generate customized, engaging scenarios tailored to learning objectives. The article highlights the GAIDE framework, which emphasizes prompt quality and iterative refinement, ensuring that AI-generated content remains contextually accurate and educationally effective. Case examples, such as "Eventful Memories" and "Tastebuds Restaurant," illustrate how interactive decision-based learning boosts student engagement and applicability. The piece underscores the necessity of human oversight to validate content and suggests that, when used strategically, GenAI enhances creativity, efficiency, and relevance in instructional design. It concludes by projecting a promising future for AI-integrated education.