Generative Large Language Models for Dialog-Based Tutoring: An Early Consideration of Opportunities and Concerns
Article Status
Published
Authors/contributors
- Nye, Benjamin D. (Author)
- Mee, Dillon (Author)
- Core, Mark G. (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
Generative Large Language Models for Dialog-Based Tutoring: An Early Consideration of Opportunities and Concerns
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
78-88
Series
CEUR Workshop Proceedings
Language
en
Short Title
Generative Large Language Models for Dialog-Based Tutoring
Accessed
13/10/2023, 23:51
Library Catalogue
CEUR Workshop Proceedings
Extra
ISSN: 1613-0073
Citation
Nye, B. D., Mee, D., & Core, M. G. (2023). Generative Large Language Models for Dialog-Based Tutoring: An Early Consideration of Opportunities and Concerns. 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. 78–88). CEUR. https://ceur-ws.org/Vol-3487/#paper4
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