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Providing consistent, individualized feedback to teachers on their instruction can improve student learning outcomes.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Deliberative discourse idealized and realized: Accountable talk in the classroom and in civic life
Sarah Michaels, Catherine O’Connor, and Lauren B. Resnick. 2007 · 2007
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"Scaling Down" to Explore the Role of Talk in Learning: From District Intervention to Controlled Classroom Study , pages 111–126
Catherine O’Connor, Sarah Michaels, and Suzanne Chapin. 2015 · 2015
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Identifying teacher questions using automatic speech recognition in classrooms
Nathaniel Blanchard, Patrick Donnelly, Andrew Olney, Samei Borhan, Brooke Ward, Xiaoyi Sun, Sean Kelly, Martin Nystrand, and Sidney D’Mello. 2016 · 2016
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Words matter: Automatic detection of teacher questions in live classroom discourse using linguistics, acoustics, and context
Patrick J. Donnelly, Nathaniel Blanchard, Andrew M. Olney, Sean Kelly, Martin Nystrand, and Sidney K. D’Mello. 2017 · 2017
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An open vocabulary approach for estimating teacher use of authentic questions in classroom discourse
Connor Cook, Andrew M. Olney, Sean Kelly, and Sidney K. D’Mello. 2018 · 2018
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Automatically measuring question authenticity in real-world classrooms
Sean Kelly, Andrew M. Olney, Patrick Donnelly, Martin Nystrand, and Sidney K. D’Mello. 2018 · 2018
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Supporting teachers in taking up productive talk moves: The long road to professional learning at scale
Catherine O’Connor and Sarah Michaels. 2019 · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Toward automated feedback on teacher discourse to enhance teacher learning
Emily Jensen, Meghan Dale, Patrick J. Donnelly, Cathlyn Stone, Sean Kelly, Amanda Godley, and Sidney K. D’Mello. 2020 · 2020
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Measuring conversational uptake: A case study on student-teacher interactions
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, and Tatsunori Hashimoto. 2021 · 2021
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What would a teacher do? predicting future talk moves
Ananya Ganesh, Martha Palmer, and Katharina Kann. 2021 · 2021
Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022 · 2022
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The influence of teacher–student interaction on the effects of online learning: Based on a serial mediating model
Hai-Long Sun, Ting Sun, Feng-Yi Sha, Xiao-Yu Gu, Xin-Ru Hou, Fei-Yan Zhu, and Pei-Tao Fang. 2022 · 2022
Later among the works it cites.
The TalkMoves dataset: K-12 mathematics lesson transcripts annotated for teacher and student discursive moves
Abhijit Suresh, Jennifer Jacobs, Charis Harty, Margaret Perkoff, James H. Martin, and Tamara Sumner. 2022 · 2022
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M-powering teachers: Natural language processing powered feedback improves 1:1 instruction and student outcomes
Dorottya Demszky and Jing Liu. 2023 · 2023
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Can automated feedback improve teachers’ uptake of student ideas? evidence from a randomized controlled trial in a large-scale online course
Dorottya Demszky, Jing Liu, Heather Hill, Dan Jurafsky, and Chris Piech. 2023 · 2023
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Automatic classification of semantic content of classroom dialogue
Yu Song, Shunwei Lei, Tianyong Hao, Zixin Lan, and Ying Ding. 2021 · 2021
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Using ai to promote equitable classroom discussions: The talkmoves application
Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan, James H. Martin, and Tamara Sumner. 2021 · 2021
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Thinking about gpt-3 in-context learning for biomedical ie? think again
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Promoting rich discussions in mathematics classrooms: Using personalized, automated feedback to support reflection and instructional change
Jennifer Jacobs, Karla Scornavacco, Charis Harty, Abhijit Suresh, Vivian Lai, and Tamara Sumner. 2022 · 2022
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Prompting gpt-3 to be reliable
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