Educational R Shiny Apps
Interactive apps to illustrate concepts of knowledge space theory
The apps listed below were developed as part of the Erasmus+ projects. Most of them were written specifically for use in a Moodle course on knowledge space theory; they therefore cannot be used as stand-alone apps without further explanation of the theory.
What properties does a user-defined relation have?
Define a surmise relation and see the derived knowledge space
Properties of a self-defined knowledge space
This app simulates answer patterns based on a knowledge structure using the BLIM model. The original app was written by students participating in an Erasmus+ seminar.
This app shows the application of the BLIM model for the simulation of response patterns from a knowledge structure.
This app performs BLIM-based simulations and shows the resulting DI validity coefficients.
This app calculates various validity coefficients for knowledge structures. It is based on a student app.
Illustration of a simple method for generating knowledge structures from data.
IITA (Inductive Item Tree Analysis) is a method for deriving surmise relations from data.
This app demonstrates the concept of learning paths in knowledge structures.
This app demonstrates adaptive deterministic knowledge assessment on a self-defined structure. It is based on the app for probabilistic knowledge assessment.
This app illustrates probabilistic knowledge assessment on a self-defined knowledge structure. The interface originates from a student app.
This app demonstrates fringe and neighbourhood of knowledge states.
The n-neighbourhood of knowledge states are states with a maximum distance of n.