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Presenter: Ryan Carlson, Research Programmer, Carnegie Learning
We developed an iPad racing game to increase students’ math fluency with an architecture that enables rapid prototyping of game features. The game is unique in that it is configurable in both content and behavior, allowing educational researchers, without programming, to quickly build a wide range of experiments to gauge educational gains. For example, researchers can change game parameters, in-game feedback, the reward structure or even make interface changes. Students have been very enthusiastic about the game. Initial tests show big differences in the way students approach the speed/accuracy tradeoff inherent in playing the game. Our hypothesis is that students’ approach reflects both their understanding and motivation. Robust instrumentation enables a deeper understanding of students’ learning and experiences within the game.