Volodymyr Nemeryshyn

Semantic-Driven Knowledge Assessment: Ontologies and Large Language Models for Automatic Test Generation

This paper proposes a semantic-driven approach to automated knowledge assessment that integrates domain ontology modeling with the capabilities of large language models (LLMs) for generating test items with controlled difficulty. The core idea is to utilize formally structured knowledge, represented as an ontology, as...