Intelligent Modeling of Educational Curricula Based on Labor Market Vacancy Analysis Using Semantic and Generative AI

Authors

  • Vitalii Pavliuk National university of water and environmental engineering
  • Volodymyr Drevetskyi

DOI:

https://doi.org/10.31713/MCIT.2025.046

Keywords:

artificial intelligence, curriculum modeling, semantic analysis, generative models, labor market analytics

Abstract

The article presents an intelligent system for modeling educational curricula based on labor market vacancy analysis using semantic and generative AI. The approach identifies key skills and competencies required by employers and transforms them into adaptive course structures. A semantic module extracts and clusters professional requirements, while a generative model synthesizes relevant learning content. The proposed solution demonstrates the potential to automatically align educational programs with real market demands, supporting data-driven curriculum design.

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Published

2025-11-06

How to Cite

Pavliuk, V., & Drevetskyi, V. (2025). Intelligent Modeling of Educational Curricula Based on Labor Market Vacancy Analysis Using Semantic and Generative AI. Modeling, Control and Information Technologies, (8), 154–157. https://doi.org/10.31713/MCIT.2025.046

Issue

No. 8 (2025): Modeling, control and information technologies

Section

Internet of Things (IoT) and artificial intelligence

License

Copyright (c) 2025 Modeling, Control and Information Technologies: Proceedings of International scientific and practical conference

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.