Recent Publications
Matsumura, L.C., Wang, E.L., Correnti, R., & Litman, D. (2023) Tasks and feedback: An exploration of students’ opportunity to develop adaptive expertise for analytic text-based writing. Assessing Writing.
Walsh, M.E., Witherspoon, E.B., Schunn, C.D. & Matsumura, L.C. (2023) Mental simulations to facilitate teacher learning of ambitious mathematics instruction in coaching interactions. International Journal of STEM Education.
Walsh, M., E., Matsumura, L., C., Zook-Howell, D., & Correnti, R. (2023). Dialogic coaching routines to develop teachers’ adaptive expertise in video-based coaching. International Society of the Learning Sciences.
Wang, E.L., Correnti, R., Matsumura, L.C. & Litman, D. (2022). Contributions to automated writing scoring and feedback systems. RAND Research Brief.
Correnti, R., Matsumura, L.C., Wang, E., Litman, D., Zhang, H. (2022). Building a validity argument for an automated writing evaluation system (eRevise) as a formative assessment. Computers and Education Open.
Lindsay Clare Matsumura's Google Scholar profile
News and Awards
Lindsay Clare Matsumura and Scott Fraundorf are part of a team that was awarded a Momentum Teaming grant for “Artificial Intelligence Integrated into the Learning of Rehabilitation Science Skills.”
This is a partnership of faculty in Physical Therapy (PI), SCI and LRDC.
March 25, 2024
Kudos to recipients of the LRDC 2023 Internal Award for "Using ChatGPT to Analyze Classroom Discussions"
Rip Correnti, (PI) School of Education, LRDC; Diane Litman, Computer Science, LRDC; Lindsay Clare Matsumura, School of Education and LRDC Associate Director of Education Research and Practice; and Amanda Godley, Vice Provost for Graduate Studies.
May 1, 2023
Diane Litman, Lindsay Clare Matsumura, and Rip Correnti were among the 2021-2022 awardees of the Learning Engineering Tools Competition Catalyst Prize. The team received the award to create the web-based application "Automated Assessment of Classroom Discussion Quality," that will use natural language processing and machine learning methods to analyze classroom discussion quality.
July 12, 2022
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The Institute for Learning (IFL) and the Center for Urban Education (CUE) in Pitt’s School of Education have received a 5-year grant from the Bill & Melinda Gates Foundation. Award has received press coverage in multiple news outlets, including Education Week (IFL mentioned bullet point 7), and the Dallas News (IFL mentioned paragraph 6).
September 5, 2018
The James S. McDonnell Foundation has awarded a five-year, $2.5 million grant to Mary Kay Stein, Chris Schunn, Lindsay Clare Matsumura, Jennifer Russell, and Richard Correnti for "Teacher Learning to Enact Productive Discussions in Mathematics and Literacy."
December 15, 2017