An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification
Researchers have developed a new NLP framework to better align educational curricula with labor market demands. This system uses a two-model LLM ensemble and Sentence-BERT to extract and match competencies, addressing limitations of existing lexical methods. The framework was applied to a computer science program, identifying specific skill gaps and areas of alignment between academic offerings and job market requirements. AI
IMPACT Provides a novel method for educational institutions to identify and address skill gaps, potentially improving graduate employability.