참고문헌 (36)

1. User Model. User-Adapt. Interact. Corbett 4 4 253 1994 10.1007/BF01099821 Knowledge tracing: Modeling the acquisition of procedural knowledge 

   상세보기

2. Adv. Neural Inf. Process. Syst. Piech 28 505 2015 Deep knowledge tracing 

3. Graves 2014 Neural turing machines 

4. 10.1145/3038912.3052580 J. Zhang, X. Shi, I. King, D.-Y. Yeung, Dynamic key-value memory networks for knowledge tracing, in: Proceedings Of The 26th International Conference On World Wide Web, 2017, pp. 765-774. 

   

5. Pandey 2019 A self-attentive model for knowledge tracing 

6. 10.1609/aaai.v32i1.11864 Y. Su, Q. Liu, Q. Liu, Z. Huang, Y. Yin, E. Chen, C. Ding, S. Wei, G. Hu, Exercise-enhanced sequential modeling for student performance prediction, in: Proceedings Of The AAAI Conference On Artificial Intelligence, 32, (1) 2018. 

   상세보기

7. d Baker 406 2008 International Conference On Intelligent Tutoring Systems More accurate student modeling through contextual estimation of slip and guess probabilities in bayesian knowledge tracing 

8. Minn 163 2019 Pacific-Asia Conference On Knowledge Discovery And Data Mining Dynamic student classiffication on memory networks for knowledge tracing 

9. Dos Santos 606 2016 Joint European Conference On Machine Learning And Knowledge Discovery In Databases Multilabel classification on heterogeneous graphs with gaussian embeddings 

10. 10.1007/978-3-030-67658-2_18 Y. Yang, J. Shen, Y. Qu, Y. Liu, K. Wang, Y. Zhu, W. Zhang, Y. Yu, GIKT: A graph-based interaction model for knowledge tracing, in: ECML/PKDD, 2020. 

    

11. 10.1145/3331184.3331195 G. Abdelrahman, Q. Wang, Knowledge tracing with sequential key-value memory networks, in: Proceedings Of The 42nd International ACM SIGIR Conference On Research And Development In Information Retrieval, 2019, pp. 175-184. 

    

12. Xue 2021 Dynamic network embedding survey 

13. IEEE Intell. Syst. Song 36 1 46 2020 10.1109/MIS.2020.3006961 SEPN: a sequential engagement based academic performance prediction model 

    상세보기

14. Nakagawa 156 2019 2019 IEEE/WIC/ACM International Conference On Web Intelligence (WI) Graph-based knowledge tracing: modeling student proficiency using graph neural network 

15. Liu 2020 Improving knowledge tracing via pre-training question embeddings 

16. Knowl.-Based Syst. Li 212 2021 10.1016/j.knosys.2020.106618 Deep attributed network representation learning of complex coupling and interaction 

    상세보기

17. Inform. Sci. Song 2021 10.1016/j.ins.2021.08.100 JKT: A joint graph convolutional network based deep knowledge tracing 

    상세보기

18. Bachman 2019 Learning representations by maximizing mutual information across views 

19. 10.1109/CVPR42600.2020.00975 K. He, H. Fan, Y. Wu, S. Xie, R. Girshick, Momentum contrast for unsupervised visual representation learning, in: Proceedings Of The IEEE/CVF Conference On Computer Vision And Pattern Recognition, 2020, pp. 9729-9738. 

    

20. Tian 776 2020 Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XI 16 Contrastive multiview coding 

21. 10.1145/1390156.1390177 R. Collobert, J. Weston, A unified architecture for natural language processing: Deep neural networks with multitask learning, in: Proceedings Of The 25th International Conference On Machine Learning, 2008, pp. 160-167. 

    

22. A. Mnih, K. Kavukcuoglu, Learning word embeddings efficiently with noise-contrastive estimation, in: Adv. Neural Inf. Process. Syst., 2013, pp. 2265-2273. 

23. Pardos 243 2011 International Conference On User Modeling, Adaptation, And Personalization KT-IDEM: Introducing item difficulty to the knowledge tracing model 

24. Pardos 255 2010 International Conference On User Modeling, Adaptation, And Personalization Modeling individualization in a bayesian networks implementation of knowledge tracing 

25. Yudelson 171 2013 International Conference On Artificial Intelligence In Education Individualized bayesian knowledge tracing models 

26. Ann. Neurosci. Ebbinghaus 20 4 155 2013 10.5214/ans.0972.7531.200408 Memory: A contribution to experimental psychology 

    상세보기

27. Online Submission Pavlik Jr. 2009 Performance factors analysis-a new alternative to knowledge tracing 

28. Xu 2898 2018 IJCAI Deep multi-view concept learning 

29. Kingma 2014 Adam: A method for stochastic optimization 

30. 10.1145/3132847.3132919 J. Li, H. Dani, X. Hu, J. Tang, Y. Chang, H. Liu, Attributed network embedding for learning in a dynamic environment, in: Proceedings Of The 2017 ACM On Conference On Information And Knowledge Management, 2017, pp. 387-396. 

    

31. Nature Becker 355 6356 161 1992 10.1038/355161a0 Self-organizing neural network that discovers surfaces in random-dot stereograms 

    상세보기

32. 10.1109/CVPR.2018.00393 Z. Wu, Y. Xiong, S.X. Yu, D. Lin, Unsupervised feature learning via non-parametric instance discrimination, in: Proceedings Of The IEEE Conference On Computer Vision And Pattern Recognition, 2018, pp. 3733-3742. 

    

33. 10.1109/CVPR.2019.00637 M. Ye, X. Zhang, P.C. Yuen, S.-F. Chang, Unsupervised embedding learning via invariant and spreading instance feature, in: Proceedings Of The IEEE/CVF Conference On Computer Vision And Pattern Recognition, 2019, pp. 6210-6219. 

    

34. 10.1145/3442381.3449802 Y. Zhu, Y. Xu, F. Yu, Q. Liu, S. Wu, L. Wang, Graph contrastive learning with adaptive augmentation, in: Proceedings Of The Web Conference 2021, 2021, pp. 2069-2080. 

    

35. IEEE Trans. Knowled. Data Eng. Liu 33 1 100 2019 10.1109/TKDE.2019.2924374 Ekt: Exercise-aware knowledge tracing for student performance prediction 

    상세보기

36. 10.1145/3448139.3448188 D. Shin, Y. Shim, H. Yu, S. Lee, B. Kim, Y. Choi, SAINT+: Integrating temporal features for EdNet correctness prediction, in: LAK21: 11th International Learning Analytics And Knowledge Conference, 2021, pp. 490-496.