5 papers
AgentCAT: Simulating Computerized Adaptive Testing via Multi-Agent Large Language Models
Weiyuan Zhou, Haiping Ma, Xiaoshan Yu +3
Computerized Adaptive Testing (CAT), as a key technology for personalized education, aims to accurately assess examinee proficiency by retrieving exercises dynamically matching cur…
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions
Xiaoshan Yu, Shangshang Yang, Ziwen Wang +2
In recent years, trustworthiness has garnered increasing attention and exploration in the field of intelligent education, due to the inherent sensitivity of educational scenarios,…
Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective
Ziwen Wang, Shangshang Yang, Xiaoshan Yu +2
With the advancement of network technologies, intelligent tutoring systems (ITS) have emerged to deliver increasingly precise and tailored personalized learning services. Cognitive…
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
Xiaoshan Yu, Ziwei Huang, Shangshang Yang +3
With the rapid advancement of intelligent education, Computerized Adaptive Testing (CAT) has attracted increasing attention by integrating educational psychology with deep learning…
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
Shangshang Yang, Jialin Han, Xiaoshan Yu +5
Online intelligent education platforms have generated a vast amount of distributed student learning data. This influx of data presents opportunities for cognitive diagnosis (CD) to…