Hua-Hua Chang

A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments

This study proposes a dual-dimensional framework for Automated Item Similarity Analysis (AISA) powered by Large Language Models, operationalizing similarity through Structured Decomposition and Semantic Relatedness, and reveals that incorporating LLM-based similarity constraints into item selection improves estimation...