The NCTE transcripts: a dataset of elementary math classroom transcripts

Dorottya Demszky, Heather Hill

arXiv preprint arXiv:2211.11772, arXiv, 2023 May

Computationally identifying funneling and focusing questions in classroom discourse

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky

arXiv preprint arXiv:2208.04715, arXiv, 2022

Measuring teaching practices at scale: a novel application of text-as-data methods

Jing Liu, Julie Cohen

Educational Evaluation and Policy Analysis, vol. 43, 2021 Dec, pp. 587-614

Measuring conversational uptake: a case study on student-teacher interactions

Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto

arXiv preprint arXiv:2106.03873, arXiv, 2021 Jun

Natural language processing may provide a new perspective on effective teaching

Jing Liu, Julie Cohen

measurement, 2021 May

Unpacking high-quality teaching: measuring teachers’ uptake of student ideas using computational linguistic analysis

Dorottya Demszky, Jing Liu, Heather C. Hill

APPAM Fall Research Conference, APPAM, measurement, 2020

Continued Pretraining for Domain Adaptation of Wav2vec 2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings

Ahmed Adel Attia, Dorottya Demszky, Tolulope Ogunremi, Jing Liu, Carol Espy-Wilson

arXiv preprint arXiv:2405.13018., 2024

Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults

Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Espy-Wilson

arXiv preprint arXiv:2309.07927, 2023

Automated Feedback Improves Teachers’ Questioning Quality in Brick-and-Mortar Classrooms: Opportunities for Further Enhancement

Dorottya Demszky, Jing Liu, Heather C. Hill, Shyamoli Sanghi, Ariel Chung

Computers & Education, 2024

The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education

Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai

arXiv, NAACL 2024, 2024

Improving Teachers’ Questioning Quality through Automated Feedback: A Mixed-Methods Randomized Controlled Trial in Brick-and-Mortar Classrooms

Dorottya Demszky, Jing Liu, Heather C. Hill, Shyamoli Sanghi, Ariel Chung

EdWorkingPaper, 2023, pp. 23-875

Empowering educators via language technology

Dorottya (Dora) Demszky, Jeffrey B. Bush, Sidney K. D’Mello, Jennifer Jacobs, Isabelle Hau, Heather Hill, Jing Liu, Susanna Loeb, Bethanie Maples, Kylie Peppler, Rhea Pokorny, Matthew Rascoff, Jenny Robinson, David Yeager, Laura Wentworth

2023

M-powering teachers: natural language processing powered feedback improves 1:1 instruction and student outcomes

Dorottya Demszky, Jing Liu

ACM Conference on Learning, ACM, app, Copenhagen Denmark, 2023 Jul, pp. 59-69

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 C. Hill, Dan Jurafsky, Chris Piech

Educational Evaluation and Policy Analysis, app, 2023 May