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  Digital game-based learning about entropy

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).

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Bertram, L, Author
Schulz, E1, 2, Author              
Hofer, M, Author
Martignon, L, Author
Nelson, JD, Author
Affiliations:
1Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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.

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 Dates: 2021-01
 Publication Status: Published online
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Title: 11th Budapest CEU Conference on Cognitive Development (BCCCD 2021)
Place of Event: Budapest, Hungary
Start-/End Date: 2021-01-04 - 2021-01-08

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Title: Budapest CEU Conference on Cognitive Development (BCCCD 2021)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: A-0177 Start / End Page: 213 Identifier: -