A framework that uses LLM-annotated knowledge concepts and a knowledge tracing simulator to train RL policies for exercise recommendation, with a model-based value estimator that improves simulated knowledge gains.
Contrastive personalized exercise recommendation with reinforcement learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
A framework that uses LLM-annotated knowledge concepts and a knowledge tracing simulator to train RL policies for exercise recommendation, with a model-based value estimator that improves simulated knowledge gains.