This app visualizes the trade-off between the parameters of a non-identifiable basic local independence model (BLIM).
This app demonstrates classical and Bayesian parameter estimation methods for probabilistic knowledge structures.
This app uses three procedures to estimate the parameters for a data set and a knowledge structure specified by the user.
The Skill mApp aims to provide a first contact with both the Knowledge Space Theory and the skill map theory.
This app exemplifies the local independence assumption of the basic local independence model (BLIM). This assumption is used to calculate the probability P(R|K) of a response pattern R given the knowledge state K. First the user learns the empirical interpretation of the model parameters. Next, an example with five items demonstrates the difference between correct responses and mastered… Read More »