Papers with Code 아카이브
cognitive diagnosis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
A fundamental task in 'AI + Education'.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis
Concept-Aware Latent and Explicit Knowledge Integration for Enhanced Cognitive Diagnosis
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory
Enhancing Cognitive Diagnosis by Modeling Learner Cognitive Structure State
Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis
Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Unified Uncertainty Estimation for Cognitive Diagnosis Models
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives
Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach
Towards Goal-oriented Intelligent Tutoring Systems in Online Education
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
Knowledge Graph Enhanced Intelligent Tutoring System Based on Exercise Representativeness and Informativeness
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI
Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.