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Dorian Guyot is a researcher in the Department of Computer Science at the University of Fribourg, Switzerland. His work focuses on the intersection of artificial intelligence and educational technologies, seeking to improve learning frameworks through innovative applications of technology. Guyot has actively contributed to the academic community through publications in major conferences and journals, demonstrating his commitment to advancing the field of computer science. His recent research includes minimalistic prediction models and the use of proof assistants for educational purposes. Guyot is also involved in collaborative projects aimed at enhancing computational methods in educational settings.
University of Fribourg • Fribourg, Switzerland
Engaged in research focusing on artificial intelligence applications in education, specifically developing models for effective learning.
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