Student knowledge diagnosis in game-based learning applications

In this paper we have described game-based learning example that we´ve already implemented. Capitalizing on this model and novel equation for estimating a student´s knowledge level has been also derived. Parameters in derived equation are then optimized by minimizing the root mean square error between classical test results of students and result of estimation model calculated by equation. Knowledge level gain, acquired by using the application is estimated and presented in the function of equation parameters as another performance measure. Sensitivity of obtained performance measures has also been observed. Presented results show the possibility of applying presented method in various game-based learning applications for knowledge level performances determination.