Conference Paper

Initial Investigations of Grade Predictions for a Course Recommender System

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Abstract

Course recommendation systems can support students success. An important component of such a system is the prediction of the grade students can expect when they take a course. In this paper, different algorithms for predicting grades are used and compared.Linear regression models providethe better results; furthermore, they have the advantage of being comprehensible, which enables users to better assess the limitations of the model and thus decide how much trust they want to place in the system.

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Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation
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