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INFORMS Transactions on Education· 2026Q2

Serious-Play Cards for Teaching AI Applications in Manufacturing

Torbjørn H. Netland, Damian Borth

Short summary

A new deck of 42 serious-play cards pairs real-world manufacturing problems with AI use cases to facilitate application-oriented learning and peer discussion in executive education.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Introduces a 42-card deck linking manufacturing problems with AI use cases.
  • Cards were used in executive education classes in classroom and metaverse settings.
  • Evaluation showed cards are perceived as engaging and valuable for application-oriented learning and peer discussion.
  • Cards contributed less to perceived knowledge acquisition compared to application and discussion.
  • Full instructions and card details are provided for instructor reuse.

AI-generated from the title and abstract; the full text is not read.

Abstract

This paper introduces a serious-play card deck designed to teach artificial intelligence (AI) use case applications in manufacturing. The deck comprises 42 cards, each presenting a real-world problem paired with a corresponding AI use case. Instructors can use these cards to facilitate structured and engaging group discussions. The paper describes the design of the cards and their implementations across four executive education classes in both classroom and metaverse settings. For the most recent intervention, we conducted a structured evaluation using an anonymous, theory-anchored survey instrument. The results indicate that the cards are perceived as engaging and valuable, particularly for supporting application-oriented learning and peer-based discussion while contributing less strongly to perceived knowledge acquisition. These findings suggest that serious-play cards are most effective as a complement to conventional teaching methods, enabling learners to translate abstract AI concepts into context-specific managerial reasoning. The paper provides full instructions and card details that support reuse by instructors.

The authors' abstract, as published at the source. INFORMS Transactions on Education, 2026 · DOI ↗

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Field: Computer Science Applications

Computer Science ApplicationsComputer Science