Games are quickly gaining momentum as a tool for learning and assessment. Games in general are capable of gathering large quantities of data recording players’ micro-level actions. However, the methods by which to harness this data to understand learners and improve our games are less than clear.
This session will review tools, methods, and theory to help move from player game play through to making inferences about constructs of interest. We will examine both traditional measurement tools and educational data mining methods, providing examples and activities to demonstrate the movement from log files to the tracking of student attributes over time.