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.
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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