AINeutralarXiv – CS AI · 6h ago5/10
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An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification
Researchers present an NLP framework that uses large language models and semantic matching to extract competencies from educational curricula and align them with labor-market demands. Applied to a UAE university's computer science program, the system identified significant gaps in general skills and algorithms while finding near-zero gaps in AI/data science, demonstrating a scalable approach to curriculum-labor market alignment.