activity
20242026
collaborators

5 papers

cs.CY2026

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,…

cs.IR2026

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…

cs.IR2025

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…

cs.LG2025

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…

cs.LG2024

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis

Shangshang Yang, Mingyang Chen, Ziwen Wang +4

Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, but their student, exercise, and concept representations are learned and exchanged…