%0 Journal Article %1 oberdorfer2019predicting %A Oberdörfer, Sebastian %A Latoschik, Marc Erich %D 2019 %E Rauterberg, Matthias %E Liarokapis, Fotis %J Entertainment Computing %K myown oberdoerfer %P 100315 %R 10.1016/j.entcom.2019.100315 %T Predicting Learning Effects of Computer Games Using the Gamified Knowledge Encoding Model %U https://www.sciencedirect.com/science/article/abs/pii/S1875952119300059 %V 32 %X Game mechanics encode a computer game’s underlying principles as their internal rules. These game rules consist of information relevant to a specific learning content in the case of a serious game. This paper describes an approach to predict the learning effect of computer games by analyzing the structure of the provided game mechanics. In particular, we utilize the Gamified Knowledge Encoding model to predict the learning effects of playing the computer game Kerbal Space Program (KSP). We tested the correctness of the prediction in a user study evaluating the learning effects of playing KSP. Participants achieved a significant increase in knowledge about orbital mechanics during their first gameplay hours. In the second phase of the study, we assessed KSP’s applicability as an educational tool and compared it to a traditional learning method in respect to the learning outcome. The results indicate a highly motivating and effective knowledge learning. Also, participants used KSP to validate complex theoretical spaceflight concepts.

@article{oberdorfer2019predicting, abstract = {Game mechanics encode a computer game’s underlying principles as their internal rules. These game rules consist of information relevant to a specific learning content in the case of a serious game. This paper describes an approach to predict the learning effect of computer games by analyzing the structure of the provided game mechanics. In particular, we utilize the Gamified Knowledge Encoding model to predict the learning effects of playing the computer game Kerbal Space Program (KSP). We tested the correctness of the prediction in a user study evaluating the learning effects of playing KSP. Participants achieved a significant increase in knowledge about orbital mechanics during their first gameplay hours. In the second phase of the study, we assessed KSP’s applicability as an educational tool and compared it to a traditional learning method in respect to the learning outcome. The results indicate a highly motivating and effective knowledge learning. Also, participants used KSP to validate complex theoretical spaceflight concepts.}, added-at = {2019-08-26T10:11:37.000+0200}, author = {Oberdörfer, Sebastian and Latoschik, Marc Erich}, biburl = {https://www.bibsonomy.org/bibtex/2cea7a5066145714f5eca50467cd21436/hci-uwb}, doi = {10.1016/j.entcom.2019.100315}, editor = {Rauterberg, Matthias and Liarokapis, Fotis}, interhash = {f119e48e427d7e618ccefee3e31fc768}, intrahash = {cea7a5066145714f5eca50467cd21436}, journal = {Entertainment Computing}, keywords = {myown oberdoerfer}, pages = 100315, timestamp = {2024-05-06T17:22:37.000+0200}, title = {Predicting Learning Effects of Computer Games Using the Gamified Knowledge Encoding Model}, url = {https://www.sciencedirect.com/science/article/abs/pii/S1875952119300059}, volume = 32, year = 2019 }