Concept-aware deep knowledge tracing and exercise recommendation in an online learning system

"Concept-aware deep knowledge tracing and exercise recommendation in an online learning system" is a research paper that proposes a machine learning approach to improve personalized education in online learning systems. The system uses a deep knowledge tracing algorithm to model the student's knowledge state over time and then recommends exercises based on the student's current level of understanding.

The proposed system uses a combination of deep neural networks and Bayesian knowledge tracing to model the student's knowledge state. It uses a hierarchical approach to model the student's mastery of individual concepts and then aggregates this information to get an overall understanding of the student's knowledge state.

The system also uses a personalized exercise recommendation algorithm that recommends exercises based on the student's current level of understanding and the difficulty level of the exercise. The recommendation algorithm takes into account the student's performance on previous exercises and their mastery of individual concepts.

Overall, the proposed system aims to improve personalized education in online learning systems by providing students with tailored exercises that match their current level of understanding and help them improve their knowledge over time.