[PDF][PDF] DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis

H Ma, S Song, C Qin, X Yu, L Zhang, X Zhang… - The 33rd International …, 2024 - ijcai.org
Group-level cognitive diagnosis, pivotal in intelligent education, aims to effectively assess
grouplevel knowledge proficiency by modeling the learning behaviors of individuals within …

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

D Zhang, K Zhang, L Wu, M Tian, R Hong… - Proceedings of the 30th …, 2024 - dl.acm.org
Cognitive Diagnosis (CD), which leverages students and exercise data to predict students'
proficiency levels on different knowledge concepts, is one of fundamental components in …

A survey of models for cognitive diagnosis: New developments and future directions

F Wang, W Gao, Q Liu, J Li, G Zhao, Z Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive diagnosis has been developed for decades as an effective measurement tool to
evaluate human cognitive status such as ability level and knowledge mastery. It has been …

Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling

Z Zhang, Q Liu, Z Hu, Y Zhan, Z Huang, W Gao… - Proceedings of the …, 2024 - dl.acm.org
Meta-learning has been widely employed to tackle the cold-start problem in user modeling.
Similar to a guidebook for a new traveler, meta-learning significantly affects decision-making …

HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis

D Han, Q Liu, S Lei, S Tong, W Huang - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
Cognitive diagnosis, a fundamental task in education assessments, aims to quantify the
students' proficiency level based on the historical test logs. However, the interactions …

Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings

H Bi, Q Liu, H Wu, W He, Z Huang, Y Yin, H Ma… - ACM Transactions on …, 2024 - dl.acm.org
The field of education has undergone a significant revolution with the advent of intelligent
systems and technology, which aim to personalize the learning experience, catering to the …

Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing

S Wang, Y Hu, X Yang, Z Zhang, K Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Knowledge Tracing (KT) aims to trace changes in students' knowledge states throughout
their entire learning process by analyzing their historical learning data and predicting their …

Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts

X Sun, Q Liu, K Zhang, S Shen, F Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive diagnosis (CD) aims to reveal students' proficiency in specific knowledge
concepts. With the increasing adoption of intelligent education applications, accurately …

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling

W Gao, Q Liu, L Yue, F Yao, H Wang, Y Gu… - arXiv preprint arXiv …, 2024 - arxiv.org
Learners sharing similar implicit cognitive states often display comparable observable
problem-solving performances. Leveraging collaborative connections among such similar …

Multi-dimensional ability diagnosis for machine learning algorithms

Q Liu, Z Gong, Z Huang, C Liu, H Zhu, Z Li… - Science China …, 2024 - Springer
Conclusion We have proposed the cognitive diagnostic framework Camilla and a multi-
dimensional metric Ability for providing both interpretable and reliable assessment of …