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
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
Publisher
CEUR
Place
Tokyo, Japan
Date
2023-07-07
Volume
3487
Pages
17-25
Series
CEUR Workshop Proceedings
Citation Key
yadav2023
Accessed
13/10/2023, 23:51
ISSN
1613-0073
Language
en
Library Catalogue
CEUR Workshop Proceedings
Extra
<标题>: 在智能辅导系统中使用大型语言模型将问题与学生兴趣进行大规模情境化
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:43.293Z
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
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