Two-Way Neural Network Performance Prediction Model Based on Knowledge Evolution and Individual Similarity
Xinzheng Wang,
Bing Guo,
Yan Shen
Abstract:Predicting students' academic achievements is an essential issue in education, which can benefit many stakeholders, for instance, students, teachers, managers, etc. Compared with online courses such as MOOCs, students' academicrelated data in the face-to-face physical teaching environment is usually sparsity, and the sample size is relatively small. It makes building models to predict students' performance accurately in such an environment even more challenging. This paper proposes a Two-Way Neural Network (TW… Show more
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