Methodology for Diagnosing the Level of STEM Competency Formation in Future Computer Science Teachers in the Process of Professional Training

Authors

  • Hanna Alieksieieva Ph.D. in Pedagogical Sciences, Associate Professor, Faculty of physical, mathematical, computer and technological education, Department of Informatics and Computer Technologies in Management and Learning, Berdyansk State Pedagogical University, temporarily relocated to Zaporizhzhia, 69000, Ukraine https://orcid.org/0000-0003-3204-3139
  • Taras Lutsiuk Informatics teacher of the Municipal Institution of General Secondary Education "Lutsk Lyceum No. 23", 2nd year postgraduate student Berdyansk State Pedagogical University, temporarily relocated to Zaporizhzhia, 69000, Ukraine https://orcid.org/0009-0000-3641-502X

DOI:

https://doi.org/10.5281/zenodo.18809240

Keywords:

STEM competencies, competency assessment, future computer science teachers, assessment criteria, professional training, diagnostic methodology

Abstract

Abstract. The article substantiates a methodology for diagnosing the level of STEM competencies formation in future computer science teachers in the process of professional training, aimed at ensuring objective assessment of STEM-oriented learning outcomes and improving the quality of teacher education. The study was conducted within the framework of the author’s doctoral research devoted to the formation of STEM competencies in future computer science teachers. A comprehensive approach was applied, including analysis of scientific sources, generalization of contemporary approaches to assessing teachers’ professional readiness, structural and functional modeling of STEM competency components, and the design of a system for their measurement. The component structure of STEM competency of a future computer science teacher is defined as an integrative construct combining cognitive, activity-practical, engineering-design, digital-technological, integrative-analytical, and motivational-value characteristics of professional readiness. On this basis, a criterion-indicator framework for diagnosis and a level-based model of STEM competency formation were developed, enabling comprehensive assessment of professional training outcomes. A set of diagnostic methods and tools is proposed to identify knowledge-based, practical, project-technological, and reflective manifestations of competence. The potential of the developed methodology for use in higher education institutions is substantiated, particularly for monitoring the level of preparedness of future computer science teachers and improving the content of professional training. The implementation of the proposed approach will contribute to increasing the objectivity of assessment, developing students’ professional reflection, and ensuring their readiness to implement STEM approaches in school education. Prospects for further research are related to the experimental validation of the developed methodology and its implementation in the system of teacher education.

Published

2026-02-28

How to Cite

Alieksieieva, H., & Lutsiuk, T. (2026). Methodology for Diagnosing the Level of STEM Competency Formation in Future Computer Science Teachers in the Process of Professional Training. Pedagogical Academy: Scientific Notes, (27). https://doi.org/10.5281/zenodo.18809240