Student Performance Prediction Based on Multi-view Network Embedding
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-60636-7_11
Reference26 articles.
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3. Cao, S., Lu, W., Xu, Q.: Deep neural networks for learning graph representations. In: Thirtieth AAAI Conference on Artificial Intelligence (2016)
4. Carter, A.S., Hundhausen, C.D., Adesope, O.: The normalized programming state model: Predicting student performance in computing courses based on programming behavior. In: Proceedings of the eleventh annual International Conference on International Computing Education Research, pp. 141–150 (2015)
5. Cetintas, S., Si, L., Xin, Y.P., Tzur, R.: Probabilistic latent class models for predicting student performance. In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, pp. 1513–1516 (2013)
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