Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion

Author:

Nazaretsky Tanya1ORCID,Mikeska Jamie N.2ORCID,Beigman Klebanov Beata2ORCID

Affiliation:

1. Weizmann Institute of Science, Israel

2. Educational Testing Service, United States

Funder

National Science Foundation

Publisher

ACM

Reference52 articles.

1. Sterling Alic , Dorottya Demszky , Zid Mancenido , Jing Liu , Heather Hill , and Dan Jurafsky . 2022 . Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. In 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022). 224–233. Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, and Dan Jurafsky. 2022. Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. In 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022). 224–233.

2. The Learning Benefits of Being Willing and Able to Engage in Scientific Argumentation

3. Tools for Teacher Noticing: Helping Preservice Teachers Notice and Analyze Student Thinking and Scientific Practice Use

4. Preservice Teachers’ Noticing of Instances for Revision during Rehearsals: A Comparison across Three University Contexts

5. Framing for scientific argumentation

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1. Teacher Educators’ Use of Formative Feedback During Preservice Teachers’ Simulated Teaching Experiences in Mathematics and Science;International Journal of Science and Mathematics Education;2024-08-21

2. Human-tutor Coaching Technology (HTCT): Automated Discourse Analytics in a Coached Tutoring Model;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

3. AI-driven Teacher Analytics: Informative Insights on Classroom Activities;2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE);2023-11-28

4. Generative Pre-trained Transformers for Coding Text Data? An Analysis with Classroom Orchestration Data;Lecture Notes in Computer Science;2023

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