Validating knowledge structures
This app applies several validation coefficients to a selection of knowledge structures and respective data. It is based on a student app developed at the 2018 TquanT seminar in Glasgow.
This app applies several validation coefficients to a selection of knowledge structures and respective data. It is based on a student app developed at the 2018 TquanT seminar in Glasgow.
This app illustrates the fringe and neighbourhood of knowledge states.
This app illustrates the one-to-one correspondence between a precedence relation among a number of problems and a quasi-ordinal knowledge space.
This app lets you enter a knowledge structure and shows various properties of the corresponding knowledge space.
This app lets you simulate response patterns based on a given knowledge space using the BLIM.
This app lets you build your own knowledge structure on a set of five items on elementary probability theory, and lets you perform a deterministic knowledge assessment on that structure. It is derived from the app on probabilistic knowledge assessment.
This app demonstrates surmise relations and the corresponding knowledge spaces.
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.