Publications

Displaying 1 - 28 of 28

Using Machine Learning to Advance High School Dropout Prediction and Prevention

2025. Anika Alam

Deeper Roots Before the Storm: Utilizing Machine Learning to Alert School Districts of Permanent School Closures

2025. Michael L. Chrzan, Francis A. Pearman, II, Benjamin W. Domingue. EdWorkingPapers.com. https://edworkingpapers.com/ai25-1210

The Effects of Daily Air Pollution on Students and Teachers

2025. Sarah Chung, Claudia Persico, Jing Liu. NBER. http://www.nber.org/papers/w33549

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

2024. Dorottya Demszky, Jing Liu, Heather C. Hill, Shyamoli Sanghi, Ariel Chung. EdWorkingPapers.com. https://doi.org/10.26300/8pnw-5q67

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

2024. Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Espy-Wilson. arXiv. https://doi.org/10.48550/arXiv.2309.07927

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

2024. Ahmed Adel Attia, Dorottya Demszky, Tolulope Ogunremi, Jing Liu, Carol Espy-Wilson. arXiv. https://doi.org/10.48550/arXiv.2405.13018

Computer Science for All? The Impact of High School Computer Science Courses on College Majors and Earnings

2024. Jing Liu, Cameron Conrad, David Blazar. IZA Discussion Papers, IZA – Institute of Labor Economics. https://www.econstor.eu/handle/10419/295781

JUE Insight: From referrals to suspensions: New evidence on racial disparities in exclusionary discipline

2024. Jing Liu, Michael S Hayes, Seth Gershenson. Journal of Urban Economics. https://doi.org/10.1016/j.jue.2022.103453

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

2024. Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai. arXiv. https://doi.org/10.48550/arXiv.2404.02444

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

2024. Dorottya Demszky, Jing Liu, Heather C. Hill, Shyamoli Sanghi, Ariel Chung. Computers & Education. https://doi.org/10.1016/j.compedu.2024.105183

Empowering educators via language technology

2023. Dorottya 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

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

2023. Dorottya Demszky, Jing Liu. ACM Conference on Learning, ACM, app, Copenhagen Denmark

Troublemakers? The Role of Frequent Teacher Referrers in Expanding Racial Disciplinary Disproportionalities

2023. Jing Liu, Emily K Penner, Wenjing Gao. Educational Researcher. https://doi.org/10.3102/0013189X231179649

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

2023. Dorottya Demszky, Jing Liu. EdWorkingPapers.com. https://doi.org/10.26300/s8xh-zp45

The NCTE transcripts: a dataset of elementary math classroom transcripts

2023. Dorottya Demszky, Heather Hill. arXiv. https://arxiv.org/abs/2211.11772

Can automated feedback improve teachers’ uptake of student ideas? Evidence from a randomized controlled trial in a large-scale online course

2023. Dorottya Demszky, Jing Liu, Heather C. Hill, Dan Jurafsky, Chris Piech. Educational Evaluation and Policy Analysis. https://doi.org/10.3102/016237372311692

Who refers whom? The effects of teacher characteristics on disciplinary office referrals

2023. Michael S Hayes, Jing Liu, Seth Gershenson. Economics of Education Review. https://doi.org/10.1016/j.econedurev.2023.102376

Beyond Chronic Absenteeism: The Dynamics and Disparities of Class Absences in Secondary School

2022. Jing Liu, Monica Lee, Xiaoxue Zhou. https://www.jstor.org/stable/pdf/resrep65534

Imperfect Attendance: Toward a fairer measure of student absenteeism

2022. Jing Liu. Fordham Institute. https://fordhaminstitute.org/national/research/imperfect-attendance-toward-fair…

More than shortages: The unequal distribution of substitute teaching

2022. Jing Liu, Susanna Loeb, Ying Shi. Education Finance and Policy. https://scholar.google.com

The short- and long-run impacts of secondary school absences

2021. Jing Liu, Monica Lee, Seth Gershenson. Journal of Public Economics. https://doi.org/10.1016/j.jpubeco.2021.104441

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

2021. Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto. arXiv. https://doi.org/10.48550/arXiv.2106.03873

Natural language processing may provide a new perspective on effective teaching

2021. Jing Liu, Julie Cohen. Brookings. https://www.brookings.edu/articles/natural-language-processing-may-provide-a-ne…

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

2020. Dorottya Demszky, Jing Liu, Heather C. Hill. APPAM Fall Research Conference. https://appam.confex.com/appam/2020/meetingapp.cgi/Paper/36813

Engaging Teachers: Measuring the Impact of Teachers on Student Attendance in Secondary School

2019. Jing Liu, Susanna Loeb. The Journal of Human Resources. https://jhr.uwpress.org/content/56/2/343.short

What We’re Missing: A Descriptive Analysis of Part-Day Absenteeism in Secondary School

2017. Camille R. Whitney, Jing Liu. AERA Open. https://doi.org/10.1177/2332858417703660

Computationally identifying funneling and focusing questions in classroom discourse

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky. https://arxiv.org/abs/2208.04715

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

Jing Liu, Julie Cohen. Educational Evaluation and Policy Analysis. https://doi.org/10.3102/0162373721100926