STATISTICAL METHODS OF CLASSIFICATION OF STUDENTS' EDUCATIONAL BEHAVIOR IN MATHEMATICS STUDY

Abstract

A cluster analysis of motivational beliefs and educational activities of future engineers when studying the disciplines of the mathematical cycle was conducted. All calculations and graphical constructions were performed using the software environment for statistical calculations R and the development environment RStudio. According to the results of the cluster analysis, four significantly different profiles of students were obtained regarding motivational beliefs, self-efficacy, self-regulation strategies, academic achievements and problems in studying mathematical disciplines. The interpretation of the obtained results is given. Understanding the typology of students can provide guidelines for building counseling and support programs for students, as well as for planning the educational process and improving the content and methods of technical education. A method of classifying students into the resulting groups is proposed.