Incorporating Item Response Theory into Knowledge Tracing-Reference-Cited by-同舟云学术

Incorporating Item Response Theory into Knowledge Tracing

Published:2021 Issue: Volume: Page:114-118
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Converse Geoffrey^ORCID,Pu Shi^ORCID,Oliveira Suely^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-78270-2_20

Reference12 articles.

1. Converse, G., Curi, M., Oliveira, S.: Autoencoders for educational assessment. In: International Conference on Artificial Intelligence in Education (AIED) (2019)

2. Corbett, A., Anderson, J.: Knowledge tracing: modeling the acquisition of procedural knowledge. User Model. User-Adap. Inter. 4, 253–278 (1995). https://doi.org/10.1007/BF01099821

3. Curi, M., Converse, G., Hajewski, J., Oliveira, S.: Interpretable variational autoencoders for cognitive models. In: 2019 International Joint Conference on Neural Networks (IJCNN) (2019)

4. Guo, Q., Cutumisu, M., Cui, Y.: A neural network approach to estimate student skill mastery in cognitive diagnostic assessments. In: 10th International Conference on Educational Data Mining (2017)

5. Lord, F., Novick, M.R.: Statistical theories of mental test scores. IAP (1968)

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