Abstract
We have created a math learning environment with game-like elements such as narrative, visual feedback, personalization, collection, etc. We made a study with four different versions of the tutor with different degree of ‘game-like’ and found that students preferred more ‘game-like’ tutor but we were not able to detect any conclusive difference in learning. Based on the data we collected through survey, logs and tests, we also built a causal model to understand the interrelationships between different student and tutor variables.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rai, D., Beck, J.E. (2011). Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_91
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DOI: https://doi.org/10.1007/978-3-642-21869-9_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21868-2
Online ISBN: 978-3-642-21869-9
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