Corpus ID: 135464409

Sparse Neural Attentive Knowledge-based Models for Grade Prediction

@article{Morsy2019SparseNA,
  title={Sparse Neural Attentive Knowledge-based Models for Grade Prediction},
  author={Sara Morsy and George Karypis},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.11858}
}
Grade prediction for future courses not yet taken by students is important as it can help them and their advisers during the process of course selection as well as for designing personalized degree plans and modifying them based on their performance. One of the successful approaches for accurately predicting a student's grades in future courses is Cumulative Knowledge-based Regression Models (CKRM). CKRM learns shallow linear models that predict a student's grades as the similarity between his… Expand
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