Factors of career development of students of technical specialties in the era of artificial intelligence

Nurbekova Zhanat (), Naimanova Dinara (), Dautova Aigul (), Ospanova Nazira () and Tkach Galina ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 6, 56-72

Abstract: Based on the analysis of the competencies imposed by universities on graduates, as well as the requirements put forward by employers in the era of rapid development of technology and artificial intelligence, this article presents the results of a study dedicated to modeling the career trajectories of students of technical specialties. The modern labor market requires young specialists not only to have deep theoretical training but also practical skills that allow them to effectively adapt to rapidly changing conditions and technologies. As part of the study, a comprehensive assessment of educational courses implemented at universities was carried out in terms of their compliance with the current needs of employers. Based on the study, a number of recommendations have been formed for the modernization of the content of educational programs, including the introduction of interdisciplinary modules, the expansion of cooperation with employers, as well as the strengthening of the project and research components of courses, that is, participation in internships, hackathons, etc., knowledge economy, industry, and taking into account the development of the era of artificial intelligence. The emphasis is also placed on identifying the factors of career development of students of technical specialties in the era of artificial intelligence, based on the analysis of the competencies of educational programs of graduates of technical specialties and the analysis of the labor market. With the rapid automation and adoption of AI, such approaches give students the opportunity to develop skills in adaptive thinking, big data analysis, teamwork, and independent decision-making. The importance of integrating cases from real practice, internships, and mentoring by representatives of the IT industry into the educational process is emphasized.

Keywords: Artificial intelligence; Career development factors; Competency analysis; IT vendors; Employer; Labor market; Modeling; Academic performance; Professional skills; Technical specialties. (search for similar items in EconPapers)
Date: 2025
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