We develop CDGK, a model based artificial neural network to deal with cognitive diagnosis. Our method not only captures non-linear interactions between ...

Nov 5, 2021 · To address these limitations, we develop CDGK, a model based artificial neural network to deal with cognitive diagnosis. Our method not only.

CDGK, a model based artificial neural network to deal with cognitive diagnosis that captures non-linear interactions between exercise features, ...

Other deep-learning models try to incorporate dependency relations among knowledge concepts to enhance diagnosis performance. For example, Wang et al.

Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis. ✔️. MGCD. ICDM 2021. Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.

Jul 7, 2024 · This paper aims to provide a survey of current models for cognitive diagnosis, with more attention on new developments using machine learning-based methods.

Jul 18, 2024 · can analyze students' knowledge pro ciency and predict answers. ... improve the accuracy of cognitive diagnosis. Knowledge Di culty and Exercise ...

Using knowledge concept aggregation towards accurate cognitive diagnosis. In Proceedings of the 30th ACM International Conference on Information & Knowledge ...

This method combines the representation of skill weight and expresses the function of conjunctive and compensatory in a uniform way.

Cognitive diagnosis is a crucial task in computer-aided edu- cation, aimed at evaluating students' proficiency levels across various knowledge concepts ...