Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction

@inproceedings{Liu2021GraphbasedEA,
  title={Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction},
  author={Mengfan Liu and Pengyang Shao and Kun Zhang},
  booktitle={CICAI},
  year={2021}
}
Predicting student performance is a fundamental task in Intelligent Tutoring Systems (ITSs), by which we can learn about students’ knowledge level and provide personalized teaching strategies for them. Researchers have made plenty of efforts on this task. They either leverage educational psychology methods to predict students’ scores according to the learned knowledge proficiency, or make full use of Collaborative Filtering (CF) models to represent latent factors of students and exercises… 

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