Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems-Reference-Cited by-同舟云学术

Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Zhao Guanhao¹^ORCID,Huang Zhenya²^ORCID,Zhuang Yan²^ORCID,Liu Jiayu¹^ORCID,Liu Qi²^ORCID,Liu Zhiding²^ORCID,Wu Jinze³^ORCID,Chen Enhong⁴^ORCID

Affiliation:

1. School of Data Science, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

2. School of Computer Science and Technology, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

3. iFLYTEK AI Research (Central China), iFLYTEK Co., Ltd, Hefei, China

4. Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

Funder

the National Key Research and Development Program of China

the National Natural Science Foundation of China

the University Synergy Innovation Program of Anhui Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615060

Reference47 articles.

1. Xueying Bai , Jian Guan , and Hongning Wang . 2019 . A model-based reinforcement learning with adversarial training for online recommendation . Advances in Neural Information Processing Systems , Vol. 32 (2019). Xueying Bai, Jian Guan, and Hongning Wang. 2019. A model-based reinforcement learning with adversarial training for online recommendation. Advances in Neural Information Processing Systems, Vol. 32 (2019).

2. Samy Bengio , Oriol Vinyals , Navdeep Jaitly , and Noam Shazeer . 2015. Scheduled sampling for sequence prediction with recurrent neural networks. Advances in neural information processing systems , Vol. 28 ( 2015 ). Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. Advances in neural information processing systems, Vol. 28 (2015).

3. Quality Meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing

4. Christopher M Bishop and Nasser M Nasrabadi . 2006. Pattern recognition and machine learning . Vol. 4 . Springer . Christopher M Bishop and Nasser M Nasrabadi. 2006. Pattern recognition and machine learning. Vol. 4. Springer.

5. A Global Information Approach to Computerized Adaptive Testing