Marie Absalon
Papers
1
Total Citations
2
H-Index
1
About
Marie Absalon is a pioneering researcher in AI literacy and educational robotics, with a focus on making artificial intelligence accessible to K-12 learners. Her most cited work, “AlphAI”: Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works (2025), introduces a novel pedagogical framework that demystifies machine learning through hands-on, tangible experiences. By combining physical robots with visualizations of neural network training, Absalon bridges the gap between abstract AI concepts and concrete understanding for young students. Her contributions address a critical societal need: preparing the next generation for an AI-driven world. With 2 citations in its first year, this work is already shaping curriculum design and teacher training programs. Absalon’s research stands out for its interdisciplinary approach, merging computer science education with developmental psychology and human-robot interaction. Her achievements include developing open-source tools for classrooms and advocating for equitable access to AI education. For students and educators, Absalon’s work offers a compelling blueprint for demystifying AI, proving that even complex algorithms can be taught through play, visualization, and interactive robotics.
Research Focus
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Top Papers
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