Towards a New Generation of Cognitive Diagnosis

Author:

Liu Qi1

Affiliation:

1. School of Computer Science and Technology & School of Data Science, University of Science and Technology of China

Abstract

Cognitive diagnosis is a type of assessment for automatically measuring individuals' proficiency profiles from their observed behaviors, e.g. quantifying the mastery level of examinees on specific knowledge concepts/skills. As one of the fundamental research tasks in domains like intelligent education, a number of Cognitive Diagnosis Models (CDMs) have been developed in the past decades. Though these solutions are usually well designed based on psychometric theories, they still suffer from the limited ability of the handcrafted diagnosis functions, especially when dealing with heterogeneous data. In this paper, I will share my personal understanding of cognitive diagnosis and review our recent developments of CDMs mostly from a machine learning perspective. Meanwhile, I will show the wide applications of cognitive diagnosis.

Publisher

International Joint Conferences on Artificial Intelligence Organization

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer;IEEE Transactions on Knowledge and Data Engineering;2024-07

5. Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective;Knowledge-Based Systems;2024-06

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