Conference paper 2025

Aligning STEM education with labour market demands through knowledge graphs and neural networks

CEUR Workshop Proceedings
Conference · Vol. 4060 · pp. 368-390
Abstract

The educational system in modern society is required to provide a fast reaction to real-life challenges. Also, the growing role of IT skills in labour market requires to provide changes in educational systems related to enhancing the role of IT. This study aims to provide the development of a system that considers real-life requirements of labour market and defines competencies it requires (including IT skills) and provides the possibility to take them into account during the development of the educational programs. In the paper, the system that provides a correspondence between the demand on competencies provided by employers and delivering that request to Methodists that developing educational programs is described. The main actors in the proposed systems are Employers, Job Seekers, and Ministry specialists (Methodists). The proposed concept may be implemented using simple basic tools such as MS Excel and as well by specialized tools such as CIT Polyhedron and Python. A graph-based system using CIT Polyhedron has been developed. In this case, each entity is represented in form of nodes. Proper links have been provided between entities (nodes). Characteristics and descriptions of each specific entity were added in form of semantic and numeric nodes’ metadata. An example of CIT Polyhedron’s specific tools (rank) usage is described. The integration of graph neural networks and knowledge graphs demonstrates potential for dynamic curriculum adaptation, with recent implementations achieving up to 94% accuracy in aligning educational outcomes with workforce requirements. This approach addresses the projected 22% growth in STEM occupations while tackling persistent underrepresentation challenges in STEM fields. © 2025 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Keywords

Author Keywords

STEM education Labour market Workforce Alignment Graph neural networks educational management systems IT Polyhedron knowledge graphs New Ukrainian School ontologies

Index Keywords

Employment Curricula Commerce Knowledge management Graphic methods Labour market Knowledge graphs STEM (science, technology, engineering and mathematics) STEM Management systems Graph neural networks Graph theory Industrial relations Knowledge graph Educational management Educational management system IT polyhedron New ukrainian school Ontology's Workforce alignment
Author Affiliations
National Center “Junior Academy of Sciences of Ukraine”, Kyiv, Ukraine
Kyiv Institute of the National Guard of Ukraine, Kyiv, Ukraine
Funding & Acknowledgements
No funding information
References 10 References
1 Arab World English Journal, (2020)
2 International Journal of Academic Research Reflectoor, (2021)
3 Eutsler, Lauren, Initial response to COVID-19: a mixed-methods analysis of media and school communications to identify pedagogical implications for remote teaching, Interactive Technology and Smart Education, 18, 2, pp. 227-245, (2020)
4 Educational Technology Quarterly, (2021)
5 Bondarenko, Olha V., Digitalization of geographic higher education: Problems and prospects, Journal of Physics: Conference Series, 2611, 1, (2023)
6 Morozov, A. V., Digitalization of thesis preparation life cycle: A case of Zhytomyr Polytechnic State University, CEUR Workshop Proceedings, 3553, pp. 142-154, (2023)
7 Hagedorn, Linda Serra, A Realistic Look at STEM and the Role of Community Colleges, Community College Review, 40, 2, pp. 145-164, (2012)
8 Black, Sandra E., The importance of STEM: High school knowledge, skills and occupations in an era of growing inequality, Research Policy, 50, 7, (2021)
9 Dasgupta, Nilanjana, Girls and Women in Science, Technology, Engineering, and Mathematics: STEMing the Tide and Broadening Participation in STEM Careers, Policy Insights from the Behavioral and Brain Sciences, 1, 1, pp. 21-29, (2014)
10 Casad, Bettina Jeanine, Wise psychological interventions to improve gender and racial equality in STEM, Group Processes and Intergroup Relations, 21, 5, pp. 767-787, (2018)
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Document Identifiers
  • EID 2-s2.0-105019293503
  • Language English