Experiential Learning Meets Generative AI: Teaching Quantitative Methods in Systems Engineering

Generative artificial intelligence (GenAI) is rapidly changing how quantitative methods are taught and learned in higher education, by personalizing feedback and supporting modelling and problem-solving skills. However, educators still face challenges in integrating these technologies into their courses. Taking the case of a quantitative course at the master level in Supply Chain Analytics, this paper introduces a conceptual framework, which integrates experiential learning with GenAI to help students develop deeper understanding and critical thinking for optimization courses. The framework is however intended to be generalized. Also, the paper illustrates how the framework can be implemented, showing practical strategies for using experiential activities and GenAI support. The goal is to position the coupling of Experiential Learning and GenAI tools as a collaborative partner in the classroom, without replacing human interactions.