cognitive diagnosis

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Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (42 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives
  20 Dec 2023 3 repositories listed
  Consequently, we refine the cognitive states of cold-start students as diagnostic outcomes via virtual data, aligning with the diagnosis-oriented goal.
• Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems
  25 Aug 2024 2 repositories listed
  That is to say, although students exhibit similar performance on given exercises, their proficiency levels inferred by these methods vary significantly, resulting in shortcomings in interpretability and efficacy.
• Neural Cognitive Diagnosis for Intelligent Education Systems
  23 Aug 2019 2 repositories listed
  Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts.
• LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
  14 May 2025 1 repository listed
  Cognitive diagnosis (CD) plays a crucial role in intelligent education, evaluating students' comprehension of knowledge concepts based on their test histories.
• Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
  18 Jan 2025 1 repository listed
  Extensive experiments show that training LRCD on real-world datasets can achieve commendable zero-shot performance across different target domains, and in some cases, it can even achieve competitive performance with…
• Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis
  6 Dec 2024 1 repository listed
  PromptCD is designed to adapt seamlessly across diverse CDCD scenarios, introducing PromptCD-S for student-aspect CDCD and PromptCD-E for exercise-aspect CDCD.
• Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
  4 Nov 2024 1 repository listed
  Motivated by the success of collaborative modeling in various domains, such as recommender systems, we aim to investigate how collaborative signals among learners contribute to the diagnosis of human cognitive states (i.
• DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
  23 Oct 2024 1 repository listed Syntology ran 0 of 8 samples · 8 unverified · 8 pointer-only (licence)
  To tackle the issues, this paper suggests a meta multigraph-assisted disentangled graph learning framework for CD (DisenGCD), which learns three types of representations on three disentangled graphs:…
• A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
  19 Oct 2024 1 repository listed
  To this end, this paper proposes a dual-fusion cognitive diagnosis framework (DFCD) to address the challenge of aligning two different modalities, i.
• DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
  10 Oct 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  To this end, in this paper, we propose DISCO, a hierarchical Disentanglement based Cognitive diagnosis framework, aimed at flexibly accommodating the underlying representation learning model for effective and…
• Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
  5 Jun 2024 1 repository listed
  Then, we design a novel attribute-oriented predictor to decouple the sensitive attributes, in which fairness-related sensitive features will be eliminated and other useful information will be retained.
• Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
  25 May 2024 1 repository listed
  Finally, the embeddings will be applied to multiple existing cognitive diagnosis models to infer students' proficiency on UKCs.
• Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
  17 Apr 2024 1 repository listed Syntology ran 2 of 10 samples · 8 unverified · 10 pointer-only (licence)
  To this end, this paper proposes an inductive cognitive diagnosis model (ICDM) for fast new students' mastery levels inference in WOIESs.
• Survey of Computerized Adaptive Testing: A Machine Learning Perspective
  31 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Computerized Adaptive Testing (CAT) provides an efficient and tailored method for assessing the proficiency of examinees, by dynamically adjusting test questions based on their performance.
• Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
  15 Feb 2024 1 repository listed
  Specifically, to explore heterogeneity, we propose a semantic-aware graph neural networks based CD model.
• Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
  30 Dec 2023 1 repository listed
  The SCD framework incorporates the symbolic tree to explicably represent the complicated student-exercise interaction function, and utilizes gradient-based optimization methods to effectively learn the student and…
• Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
  1 Sep 2023 1 repository listed
  However, we notice that this paradigm leads to the inevitable non-identifiability and explainability overfitting problem, which is harmful to the quantification of learners' cognitive states and the quality of web…
• Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
  14 Jul 2023 1 repository listed
  Machine learning algorithms have become ubiquitous in a number of applications (e.
• Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search
  10 Jul 2023 1 repository listed Syntology ran 6 of 8 samples · 2 unverified
  Then, we propose multi-objective genetic programming (MOGP) to explore the NAS task's search space by maximizing model performance and interpretability.
• MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
  5 Apr 2023 1 repository listed
  Student modeling, the task of inferring a student's learning characteristics through their interactions with coursework, is a fundamental issue in intelligent education.
• Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI
  24 Dec 2022 1 repository listed
  In this paper, we describe the development of a hybrid representation learning (HRL) framework for predicting cognitive diagnosis over 5 years based on T1-weighted sMRI data.
• Enhancing Item Response Theory for Cognitive Diagnosis
  27 May 2019 1 repository listed
  However, traditional IRT ignores the rich information in question texts, cannot diagnose knowledge concept proficiency, and it is inaccurate to diagnose the parameters for the questions which only appear several times.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.