Leveraging Generative AI Through Vibe Coding: A Case of Simulation-Based Curriculum Redesign in Management Education

Generative Artificial Intelligence (GenAI) tools such as Large Language Models (LLMs) have uncovered new possibilities for educators to develop interactive learning resources, yet practical guidance on harnessing these capabilities remains limited. This paper examines how GenAI and LLMs can support curriculum redesign through their capabilities in generating and testing code. We present a case study of a postgraduate operations management course redesigned to include simulation-based learning, to strengthen analytical and decision-making skills. The case demonstrates how a replicable prompt-driven workflow can enable educators to co-create HTML/JavaScript simulations with GenAI without programming expertise. Simulation-based learning has an established evidence base for improving student learning outcomes; the challenge has been accessibility. This paper’s contribution is not to re-validate that evidence, but to demonstrate that pedagogies once beyond the reach of resource-constrained educators are now meaningfully accessible through GenAI-enabled vibe coding. We document the design and implementation of this approach, and the opportunities and constraints encountered, to provide a practical roadmap for educators seeking to close the gap between what simulation-based education can offer and what has historically been possible to deliver.