Generative Large Language Models for Dialog-Based Tutoring: An Early Consideration of Opportunities and Concerns

Article Status
Published
Authors/contributors
Title
Generative Large Language Models for Dialog-Based Tutoring: An Early Consideration of Opportunities and Concerns
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
78-88
Series
CEUR Workshop Proceedings
Citation Key
nye2023
Accessed
13/10/2023, 23:51
ISSN
1613-0073
Short Title
Generative Large Language Models for Dialog-Based Tutoring
Language
en
Library Catalogue
CEUR Workshop Proceedings
Extra
Read_Status: New Read_Status_Date: 2026-01-26T11:33:25.499Z
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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