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A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities
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A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities

Madalina Croitoru, Pablo Laviron, Sio Bando, Eric Gilles, Amine Miled, Royce Anders, Nathalie Blanc, Gowrishankar Ganesh et Emmanuelle Brigaud
Lecture notes in computer science, Vol.LNCS-15447, pp.232-237
Artificial Intelligence XLI 44th SGAI International Conference on Artificial Intelligence : AI 2024, Cambridge, UK, December 17–19, 2024, Proceedings, Part II
AI 2024 - 44th SGAI International Conference on Artificial Intelligence (Cambridge, United Kingdom, 17/12/2024–19/12/2024)
2024

Résumé

This study examines the use of social robotics in education, focusing on reducing the gender biases child students may have in the perception of their mathematical ability and potential. Our initial pilot with twenty 7-year-olds provides insights into the potential of combining AI with educational strategies. We discuss our findings, and experimental setup involving ChatGPT4, and future research directions.

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