MODEL FOR ASSESSING THE FORMATION OF STUDENTS’ COMPETENCES

In the context of the digital transformation of the education system, the problem of assessing the level of students’ competences becomes especially relevant. Its relevance is due to the intensive globalization of educational processes, the rapid penetration of information technologies into all spheres of human activity. Constantly updated educational standards and requirements for the training of specialists make the development of innovative models for assessing the formation of competences an important scientific task of pedagogical science. The article is a comprehensive study aimed at systematizing and in-depth analysis of the capabilities of regularization methods, in particular, Ridge Regression, Lasso Regression, and Elastic Net Regression within the framework of traditional regression models in diagnosing and forecasting the level of the students’ competence formation, thereby enriching pedagogical practice with modern machine learning tools. The author considers in detail Ridge Regression, Lasso Regression, and Elastic Net Regression, focusing on their specifics and applicability in assessing effectiveness of the educational process. Particular attention is paid to the description of new approaches to assessing the formation of competences. The purpose of the study is to develop and verify a model for assessing the formation of students’ competences, based on one of the modern methods of Elastic Net Regression, in order to provide an objective, systematic and adaptive diagnosis of the level of students’ professional competencies in the modern educational process. The work is aimed at educators, teachers of higher educational institutions, researchers and experts in the field of Data Science who want to integrate modern methods of machine learning into the educational environment.

Data Science, competence level assessment, regularization methods, machine learning, forecasting, competence-based approach, competence, Ridge Regression, Lasso Regression, Elastic Net Regression, R language

Nazarov D. M. Model for assessing the formation of students’ competences. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2023;4(65):277—282. DOI: 10.25683/VOLBI.2023.65.785.