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Prompt Machine: A Tangible Generative AI Tool for Supporting Children's Learning and Literacy

Martin Lindrup, Rune Møberg Jacobsen, Joel Wester, Niels van Berkel, Dimitrios Raptis, Peter Axel Nielsen

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Abstract

Generative AI technologies are moving into school settings. However, there is confusion about how, when, and why these technologies should be used. Our aim is to provide insights on how AI technology can be meaningfully integrated into schools, with a specific focus on secondary school education. Informed by ten teachers, we developed Prompt Machine, a tangible learning tool that serves three central purposes; 1) scaffold curriculum learning, 2) support development of AI literacy, and 3) act as a focal point among pupils and teachers for discussing possibilities and limitations of AI. Based on a study with 33 pupils and their teachers, we present findings on tangible and collaborative AI interactions, facilitation of AI, and integration of AI into curricula. Additionally, we reflect on challenges and opportunities for AI in education from the perspective of teachers and learners and discuss future steps for tangible AI.

Topics & Concepts

Generative grammarComputer scienceLiteracyArtificial intelligenceMachine learningHuman–computer interactionPsychologyPedagogyTeaching and Learning ProgrammingAugmented Reality ApplicationsInteractive and Immersive Displays