K.R.: Educational software features that encourage and discourage “gaming the system

Abstract. Gaming the system, attempting to succeed in an interactive learning environment by exploiting properties of the system rather than by learning the material (for example, by systematically guessing or abusing hints), is prevalent across many types of educational software. Past research on why students choose to game has focused on student individual differences. Many student individual differences, including attitudes towards mathematics, have been shown to be associated with gaming, but generally with low correlation. In this paper, we investigate how individual differences between learning environments can increase or decrease the probability of gaming. We enumerate ways intelligent tutor lessons vary from each other, and use data mining to discover hypotheses about how differences in software design and content influence the choice to game the system. We discover a set of tutor features that explain 56 % of the variance in gaming, over five times the degree of variance explained in any prior study of student individual differences and gaming. These results provide an important step towards developing prescriptions for designing intelligent tutor software that students game significantly less