Analysis of Predictors as a Basis for the Development of an Information System for Predicting Failure in Stem Courses

As part of a doctoral thesis, an information system is to be developed to support the education system, particularly for STEM subjects. The basic functionality of the information system would be to inform the student about the risk of failure and the individualized optimal strategy to reduce this risk based on the available educational data. This article describes the analysis of correlation of predictors, i.e. independent variables, in order to identify important predictors that can be used in the design of the described information system. The article uses the basic methods of descriptive statistics in the form of calculating indicators of central tendency and dispersion, Spearman’s correlation coefficients and Kruskal-Wallis test. The main objective of this study is to create a set of relevant variables that form the basis for the construction of the information system described.