In the present paper we present analysis of gaming actions with MathSpring, an established ITS for mathematics for high school students. Our findings indicate that both student and problem features were similarly predictive of gaming behaviors, as well as that gaming was associated with lower excitement and lower learning gains.

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Keywords Affect, Gaming, Intelligent tutoring system, Outcomes, Predictors
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Series Lecture Notes in Computer Science
Peters, C. (Chad), Arroyo, I. (Ivon), Burleson, W. (Winslow), Woolf, B. (Beverly), & Muldner, K. (2018). Predictors and outcomes of gaming in an intelligent tutoring system. In Lecture Notes in Computer Science. doi:10.1007/978-3-319-91464-0_41