In this chapter we analyze the application of association rule mining for assessing student academic results and extracting recommendations for the improvement of course content. We propose a framework for mining educational data using association rules, and a novel metric for assessing the strength of an association rule, called ‘‘cumulative interestingness’’. In a case study, we analyze the I...