A fun-accuracy trade-off in game-based learning
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
Original language | English |
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Title of host publication | Games and Learning Alliance - 7th International Conference, GALA 2018, Proceedings |
Editors | Heinrich Söbke, Manuel Gentile, Mario Allegra |
Publisher | Springer Verlag |
Pages | 167-177 |
Number of pages | 11 |
ISBN (Print) | 9783030115470 |
DOIs | |
Publication status | Published - 2019 |
Publication type | A4 Article in a conference publication |
Event | International Conference on Games and Learning Alliance - Palermo, Italy Duration: 5 Dec 2018 → 7 Dec 2018 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 11385 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Games and Learning Alliance |
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Country | Italy |
City | Palermo |
Period | 5/12/18 → 7/12/18 |
Abstract
The present paper illustrates that the game-based implementation of a learning task - here to train basic math skills - entails benefits with strings attached. We developed a game for learning math with its core element based on the number line estimation task. In this task, participants have to indicate the position of a target number on a number-line, which is thought to train basic numerical skills. Participants completed both the game on a mobile device and a conventional paper-pencil version of the task. They indicated to have significantly more fun using the game-based environment. However, they also made considerably higher estimation errors in the game compared to the paper-pencil version. In this case, more fun in a math-learning task was ultimately bought at the expense of lower reliability, namely lowered accuracy of estimations in the learning game. This fun-accuracy trade-off between adding elements for enjoyment and clarity of content is discussed together with the consequences for game-design.
ASJC Scopus subject areas
Keywords
- Enjoyment, Game-based learning, Mathematics, Number-line estimation, Reliability, User-experience