An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing-Reference-Cited by-同舟云学术

An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing

Published:2022-08-31 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Ding Xinyi^ORCID,Han Tao,Fang Yili,Larson Eric

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-04095-x.pdf

Reference38 articles.

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3. Pavlik PI, Cen H, Koedinger KR (2009) Performance factors analysis–a new alternative to knowledge tracing. In: 14Th international conference on artificial intelligence in education, pp 531–538

4. Zhang J, Shi X, King I, Yeung D. -Y. (2017) Dynamic key-value memory networks for knowledge tracing. In: 26Th international conference on world wide web, pp 765–774

5. Pandey S, Karypis G (2019) A self-attentive model for knowledge tracing. In: 12Th international conference on educational data mining, pp 384–389

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