Maryland Assessment Research Center (MARC)

Artificial Intelligence in Measurement and Education Conference (AIME-Con) 2025

Coordinated Paper Session: AI-Enhanced Item Evaluation: Content Alignment and Item Difficulty Modeling 

Automated Item Content Alignment in Educational Assessment: A Systematic Review

Nan Zhang, Hong Jiao, Sydney Peters, Ming Li, Qingshu Xu, Yanbin Fu

Text-Based Approaches to Item Alignment to Content Standards in Large-Scale Reading Writing Tests

Yanbin Fu, Nan Zhang, Hong Jiao, Qingshu Xu, Ming Li, Tianyi Zhou, Sydney Peters

Automated Alignment of Math Items to Content Standards for Large-Scale Tests

Qingshu Xu, Hong Jiao, Nan Zhang, Ming Li, Tianyi Zhou, Sydney Peters, Yanbin Fu

A Systematic Review of Text-Based Approaches to Item Difficulty Modeling

Sydney Peters, Nan Zhang, Hong Jiao, Ming Li, Tianyi Zhou

Item Difficulty Modeling Using Fine-Tuned Small and Large Language Models

Ming Li, Hong Jiao, Nan Zhang, Tianyi Zhou, Sydney Peters