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Meeting Abstract

Digital game-based learning about entropy

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Schulz,  E
Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Bertram, L., Schulz, E., Hofer, M., Martignon, L., & Nelson, J. (2021). Digital game-based learning about entropy. In Budapest CEU Conference on Cognitive Development (BCCCD 2021) (pp. 213).


Cite as: http://hdl.handle.net/21.11116/0000-0008-0D89-0
Abstract
In today’s digital information society, mathematical and computational literacy is becoming increas-ingly important. How information-theoretical, computational and mathematical skills can be effectively taught in school is a pressing question in educational, developmental and psychological research. Digital game-based learning promises to give students low-threshold access to active learning experiences while being emotionally and motivationally engaging. We present results from a class-room educational intervention in mathematics aimed at teaching students stochastic concepts and information-theoretical intuitions, using the novel game Entropy Mastermind. In a pre and post test experimental design we tested the effectiveness of using Entropy Mastermind to foster children’s intuitions about entropy and probabilities and investigated effects of game-play on emotional and motivational variables (scales from PISA and TIMSS and standardized psychological scales). Based on our results we discuss the potential and limitations of digital game-based mathematics education in classrooms of today and the future.