A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models.
Hengyuan ZhangZitao LiuChenming ShangDawei LiYong JiangPublished in: CoRR (2024)
Keyphrases
- prior knowledge
- learning systems
- knowledge acquisition
- probabilistic model
- human experts
- learning algorithm
- learning scheme
- learning process
- domain knowledge
- prediction accuracy
- learning frameworks
- modeling framework
- user centric
- online learning
- latent variable models
- domain experts
- deep architectures
- conceptual framework
- structured prediction
- knowledge transfer
- learning models
- constructivist learning environments
- bayesian framework
- learning tasks
- background knowledge
- knowledge representation
- design principles
- learning problems
- conceptual model
- hidden variables
- data mining techniques
- active learning
- training set
- knowledge base
- feature selection
- machine learning