Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network-Reference-Cited by-同舟云学术

Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Li Haotian¹,Wei Huan¹,Wang Yong¹,Song Yangqiu¹,Qu Huamin¹

Affiliation:

1. The Hong Kong University of Science and Technology, Hong Kong, Hong Kong

Funder

Innovation and Technology Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412733

Reference24 articles.

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3. Ali Daud Naif Radi Aljohani Rabeeh Ayaz Abbasi Miltiadis D. Lytras Farhat Abbas and Jalal S. Alowibdi. 2017. Predicting Student Performance using Advanced Learning Analytics. In WWW. 415--421. Ali Daud Naif Radi Aljohani Rabeeh Ayaz Abbasi Miltiadis D. Lytras Farhat Abbas and Jalal S. Alowibdi. 2017. Predicting Student Performance using Advanced Learning Analytics. In WWW. 415--421.

4. Nima Dehmamy Albert-László Barabási and Rose Yu. 2019. Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. In NeurIPS. 15387--15397. Nima Dehmamy Albert-László Barabási and Rose Yu. 2019. Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. In NeurIPS. 15387--15397.

5. Justin Gilmer Samuel S. Schoenholz Patrick F. Riley Oriol Vinyals and George E. Dahl. 2017. Neural Message Passing for Quantum Chemistry. In ICML. 1263--1272. Justin Gilmer Samuel S. Schoenholz Patrick F. Riley Oriol Vinyals and George E. Dahl. 2017. Neural Message Passing for Quantum Chemistry. In ICML. 1263--1272.

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