MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing.

The article focuses on improving Knowledge Tracing (KT) in e-learning systems by addressing the Skill Switching Phenomenon (SSP). Topics include the challenges posed by SSP, the limitations of existing deep learning-based methods, and the proposed Memory-augmented Attentive Network (MAN) model to enhance knowledge state prediction.