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Complex Automated Competitiveness Diagnostic System of Future IT-Specialists

Liliia Ivanova

This chapter is part of: Kyrylo Malakhov et al. 2024. Modern Information Technologies in Scientific Research and Educational Activities

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Description
The article presents an automated computer system for diagnosing the competitiveness of future specialists in information technology, which consists of a set of tests for determining the psychological, creative and personal qualities of an education seeker. It was determined that the application of a complex approach to system diagnostics using multi-directional tests allows obtaining a systematic assessment of the components of the competitiveness of future specialists in dynamics. The use of an automated computer system for the diagnosis of the student’s personality for the assessment and attestation of the psychological state of students of educational institutions of various accreditation levels, the identification of personal and professional characteristics, which will allow quantifying the level of competitiveness of future information technology specialists and greatly simplifies the recording and processing of the respondent’s answers while simultaneously reducing the probability of errors at a certain stage of diagnosis. The functions of an automated computer system for diagnosing the competitiveness of future information technology specialists are considered. The structure of the blocks of the automated computer system for the diagnosis of competitiveness is presented. The results of an experimental study of the competitiveness of students of the Odesa Technical Vocational College using an automated computer system for diagnosing the competitiveness of future information technology specialists are presented. It is proposed to use an automated system for diagnosing and evaluating the creative, psychological and personal components of students’ competitiveness for the work of structural divisions of the educational, psychological and educational direction in educational institutions of different levels of accreditation to determine the level of formation of key personal qualities of education seekers.
  • Details
    Published Published By Pages DOI
    May 1, 2024 Iowa State University Digital Press 31 10.31274/isudp.151.03
    License Information
    Book License Information: Copyright © 2024 Ivanova L., Kaverinskiy V., Kotlyk S., et al.
    Citation
    Ivanova L. 2024. Complex Automated Competitiveness Diagnostic System of Future IT-Specialists. In Kyrylo Malakhov et al. 2024. Modern Information Technologies in Scientific Research and Educational Activities