Contextualizing Problems to Student Interests at Scale in Intelligent Tutoring System Using Large Language Models
Article Status
Published
Authors/contributors
- Yadav, Gautam (Author)
- Tseng, Ying-Jui (Author)
- Ni, Xiaolin (Author)
- Moore, Steven (Editor)
- Stamper, John (Editor)
- Tong, Richard (Editor)
- Cao, Chen (Editor)
- Liu, Zitao (Editor)
- Hu, Xiangen (Editor)
- Lu, Yu (Editor)
- Liang, Joleen (Editor)
- Khosravi, Hassan (Editor)
- Denny, Paul (Editor)
- Singh, Anjali (Editor)
- Brooks, Chris (Editor)
Title
Contextualizing Problems to Student Interests at Scale in Intelligent Tutoring System Using Large Language Models
Date
2023-07-07
Proceedings Title
Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023
Conference Name
Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023
Place
Tokyo, Japan
Publisher
CEUR
Volume
3487
Pages
17-25
Series
CEUR Workshop Proceedings
Language
en
Accessed
13/10/2023, 23:51
Library Catalogue
CEUR Workshop Proceedings
Extra
ISSN: 1613-0073
Citation
Yadav, G., Tseng, Y.-J., & Ni, X. (2023). Contextualizing Problems to Student Interests at Scale in Intelligent Tutoring System Using Large Language Models. In S. Moore, J. Stamper, R. Tong, C. Cao, Z. Liu, X. Hu, Y. Lu, J. Liang, H. Khosravi, P. Denny, A. Singh, & C. Brooks (Eds.), Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 (Vol. 3487, pp. 17–25). CEUR. https://ceur-ws.org/Vol-3487/#short3
Empirical studies
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