Research Paper#Cognitive Diagnosis, Meta-Learning, Continual Learning, Intelligent Education🔬 ResearchAnalyzed: Jan 3, 2026 19:27
Meta-Learning for Cognitive Diagnosis with Continual Learning
Published:Dec 28, 2025 12:23
•1 min read
•ArXiv
Analysis
This paper addresses the challenges of long-tailed data distributions and dynamic changes in cognitive diagnosis, a crucial area in intelligent education. It proposes a novel meta-learning framework (MetaCD) that leverages continual learning to improve model performance on new tasks with limited data and adapt to evolving skill sets. The use of meta-learning for initialization and a parameter protection mechanism for continual learning are key contributions. The paper's significance lies in its potential to enhance the accuracy and adaptability of cognitive diagnosis models in real-world educational settings.
Key Takeaways
Reference
“MetaCD outperforms other baselines in both accuracy and generalization.”