Applying data mining techniques to Game Learning Analytics

In this final master thesis, we apply data mining techniques to a dataset obtained from students playing a serious game. Each student completed a previous questionnaire, played a complete game session a completed a afterwards questionnaire. Goals of this project include determining the capability of game interactions to predict post test results and compare this to the prediction capability of game interactions when combined when pre test information. Secondary goals include establishing a classification of types of players.