Teachers have several evaluation needs with regards to the progress of learning in serious games. They need to (1) review student performance and progress in order to provide good advice to the student, (2) review groups of students compared to other groups in order to see if group level support is needed, and (3) review the difficulty of course materials/tasks in order to evaluate whether course materials are adequate or should be improved. In order to make these types of judgements teachers need the learning performance statistics for students, groups, and tasks.
We provide a server-side asset that allows for the analysis of learning performance statistics in serious games. This asset receives player performance data from serious game tasks. Upon receiving this data the asset computes learning performance statistics which can then be reviewed by teachers on a web-page. These statistics provide an overview of the player's improvement over time and of his performance when compared to his peers. The asset analyses student learning over time, student learning compared to the performance of the group, and the learning performance of the learning tasks in a serious game.
May 12, 2016