Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| apply BETA-CD meta-learned Bayesian inference instead of ordinary optimization | IRT/MIRT cognitive diagnosis · ECPE, 10 logs | ACC: 73.07 -> 73.91 | Helped |
| apply BETA-CD meta-learned Bayesian inference instead of ordinary optimization | IRT/MIRT cognitive diagnosis · ASSIST, 10 logs | ACC: 66.51 -> 69.28 | Helped |
| apply BETA-CD meta-learned Bayesian inference instead of ordinary optimization | IRT/MIRT cognitive diagnosis · EXAM, 10 logs | AUC: 81.24 -> 81.80 | Helped |
| add meta-learning to optimize the prior from historical students (ablation) | BETA-CD with IRT · ECPE | ACC: 72.33 -> 73.15 | Helped |
| add meta-learning to optimize the prior from historical students (ablation) | BETA-CD with IRT · ASSIST | ACC: 65.91 -> 68.14 | Helped |
| add meta-learning to optimize the prior from historical students (ablation) | BETA-CD with IRT · EXAM | AUC: 78.79 -> 80.87 | Helped |
| add Bayesian modeling with a distributional cognitive-state estimate (ablation) | BETA-CD with IRT · ECPE | AUC: 72.17 -> 72.30 | Helped |
| add Bayesian modeling with a distributional cognitive-state estimate (ablation) | BETA-CD with IRT · ASSIST | ACC: 67.93 -> 68.14 | Helped |
| add Bayesian modeling with a distributional cognitive-state estimate (ablation) | BETA-CD with IRT · EXAM | AUC: 80.83 -> 80.87 | Helped |
| use BETA-CD rather than ordinary diagnosis | cognitive diagnosis models · all three datasets, smaller practice sets | ACC | Helped |
| use BETA-CD uncertainty estimates | BETA-DINA and BETA-NCD · ASSIST | ECE: 16.62 -> 2.38; 13.91 -> 3.91 | Helped |
Closest papers by meaning
- Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation (NeurIPS 2024 · similarity 0.87)
- Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis (AAAI 2025 · similarity 0.87)
- Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives (AAAI 2024 · similarity 0.86)
- Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model (AAAI 2025 · similarity 0.86)
- AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis (AAAI 2025 · similarity 0.86)
- Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems (AAAI 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.