English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. Start / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  DetailsSummary

Released
Meeting Abstract

Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework

MPS-Authors
There are no MPG-Authors in the publication available
External Resource

https://cogsci.mindmodeling.org/2019/papers/0718/0718.pdf
(Publisher version)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Bertram, L., Schulz, E., Zel, E., Hofer, M., Martignon, L., & Nelson, J. (2019). Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework. In A. Goel, C. Seifert, & C. Freksa (Eds.), 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation (pp. 3410). Red Hook, NY, USA: Curran.


Cite as: https://hdl.handle.net/21.11116/0000-0006-B3CC-A
Abstract
In this research project, a novel app-based version of the code breaking game Mastermind, “Entropy Mastermind”, was introduced and evaluated as a learning medium in undergraduate cognitive psychology and in primary mathematics education. In a quasi-experimental pre- and posttest design we investigated a) the role of individual differences in game play and learning, b) the effectiveness of “Entropy Mastermind” for giving students of different age groups experientially grounded access to the fundamental concepts of proportions and mathematical entropy, and c) effects of game play on students’ academic emotions, motivation and attitudes. Data analyses revealed significant associations between cognitive variables, emotional-motivational factors and game play parameters. We present computational modeling results of students’ search strategies and entropy intuitions within a unified framework of entropy measures, the Sharma-Mittal space. Potential applications in digitalized learning environments at the interface between mathematics and computer science will be discussed.