Papers
2
Total Citations
7
H-Index
2
About
Thomas Deneux is a pioneering researcher at the intersection of artificial intelligence and K-12 education, focusing on AI literacy and metacognitive development in young learners. His work centers on demystifying complex AI and machine learning concepts—such as model training and artificial neural networks—for children as young as eight. Deneux’s most influential study, “Effects of Introducing a Learning Robot on the Metacognitive Knowledge of Students Aged 8–11” (2023, 5 citations), demonstrates how tangible, interactive robots can significantly enhance children’s understanding of their own learning processes. Expanding on this, his 2025 paper “AlphAI” (2 citations) provides a practical framework for teaching AI algorithms to K-12 students by combining hands-on robot training with visualizations of how AI systems operate. This dual approach—bridging abstract theory with concrete, playful interaction—positions Deneux as a key innovator in making AI education accessible and engaging. His contributions are particularly timely as AI transforms every sector, equipping the next generation with the critical literacy needed to navigate and shape an AI-driven world.
Research Focus
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Top Papers
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