Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion
Article Status
Published
Authors/contributors
- Nazaretsky, Tanya (Author)
- Mikeska, Jamie N. (Author)
- Beigman Klebanov, Beata (Author)
Title
Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion
Date
2023-3-13
Proceedings Title
LAK23: 13th International Learning Analytics and Knowledge Conference
Conference Name
LAK 2023: 13th International Learning Analytics and Knowledge Conference
Place
Arlington TX USA
Publisher
ACM
Pages
122-132
Language
en
ISBN
978-1-4503-9865-7
Short Title
Empowering Teacher Learning with AI
Accessed
10/04/2023, 22:24
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: nazaretsky2023
<标题>: 用人工智能赋能教师学习：在以论证为重点的讨论中自动评估教师对学生观点的关注度
<AI Smry>: The results are encouraging: Not only can the models score the transcript as well as humans can, but they can also provide justifications for the scores comparable to those provided by human raters.
Read_Status: New
Read_Status_Date: 2025-11-10T07:26:25.061Z
Citation
Nazaretsky, T., Mikeska, J. N., & Beigman Klebanov, B. (2023). Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion. LAK23: 13th International Learning Analytics and Knowledge Conference, 122–132. https://doi.org/10.1145/3576050.3576067
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