Combined Maps as a Tool of Concentration and Visualization of Knowledge in the Logic of Operation of the Intelligent Tutoring Systems

The issue of generalizing and concentrating learning situation data in human learner interaction with ITS is described. The resolution of this issue is important for making reasoned decisions that are considered credible by a human learner. Various approaches to data concentration and visualization are considered, among which mapping has a special place. Using the example of the Cognitive Maps of Knowledge Diagnosis (CMKD) method, it is shown how data can be generalized by concentrating them into parametric maps and then forming and visualizing a combined map. The algorithm of synthesizing the combined map and the principle of its interpretation are given. An experiment with master’s students who interpreted and evaluated ITS recommendations accompanied by different types of maps in CMKD notation is described. The data example of one of the master’s students studying the “Intelligent Data Analysis” course shows the process of visualization of data about the learning situation. The analysis of the experimental results showed an increased effectiveness of ITS decision perception when using the data from the combined map and visualizing its simplified fragment.