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

  • Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation

Research output: Contribution to Book/Report typesContribution to conference proceedingspeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Operations Research and Enterprise Systems
EditorsRainer Schlosser, Maria Elena Bruni, Greg Parlier
PublisherScience and Technology Publications, Lda
Pages510-515
Number of pages6
ISBN (Print)9789897587993
DOIs
Publication statusPublished - 2026
Externally publishedYes
Event15th International Conference on Operations Research and Enterprise Systems, ICORES 2026 - Marbella, Spain
Duration: 9 Mar 202611 Mar 2026

Publication series

NameInternational Conference on Operations Research and Enterprise Systems
Volume1
ISSN (Electronic)2184-4372

Conference

Conference15th International Conference on Operations Research and Enterprise Systems, ICORES 2026
Country/TerritorySpain
CityMarbella
Period9/03/2611/03/26

!!!Keywords

  • AI in Education
  • Experiential Learning
  • Generative Artificial Intelligence
  • STEM Education
  • Supply Chain Analytics

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