Abstract
Examination is a particularly important part of the students’ whole learning process. Therefore, this paper designs and develops an online examination system. This paper studies an examination recommendation algorithm based on a machine learning neural network model. The algorithm can recommend problems for students according to students’ error history, error prone, and knowledge poor problems. Experiments also show that the recommendation algorithm studied in this paper improves the recommendation effect compared with several other similar algorithms.
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