@inproceedings{54514491dcc34ae488df0f916a22456e,
title = "A fun-accuracy trade-off in game-based learning",
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.",
keywords = "Enjoyment, Game-based learning, Mathematics, Number-line estimation, Reliability, User-experience",
author = "Simon Greipl and Manuel Ninaus and Darlene Bauer and Kristian Kiili and Korbinian Moeller",
note = "jufoid=62555; International Conference on Games and Learning Alliance ; Conference date: 05-12-2018 Through 07-12-2018",
year = "2019",
doi = "10.1007/978-3-030-11548-7_16",
language = "English",
isbn = "9783030115470",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "167--177",
editor = "Heinrich S{\"o}bke and Manuel Gentile and Mario Allegra",
booktitle = "Games and Learning Alliance - 7th International Conference, GALA 2018, Proceedings",
address = "Germany",
}