Personalized Forgetting Mechanism with Hierarchical Knowledge Concept Tracing for Improved Student Performance Prediction

The core message of this paper is to propose a Concept-driven Personalized Forgetting knowledge tracing (CPF) model that integrates students' personalized cognitive abilities into both the learning and forgetting processes, and also considers the hierarchical relationships between knowledge concepts to capture the causal relationships in the forgetting process.