Lindsay Clare Matsumura

Associate Director for Educational Research and Practice

Professor, Learning Sciences and Policy Program, School of Education

Senior Scientist, Learning Research & Development Center

Education and Training

PhD, University of California, Los Angeles

Research Interests

  • Effects of literacy coaching on teaching and students' reading skills
  • Teacher professional learning in online environments
  • Classroom discourse
  • Automated writing assessment and feedback
  • Equitable teaching practices

Automated Writing Evaluation Education Reform Improvement Science Interventions Literacy Coaching Professional Learning Research/Practice Partnerships

Related Research Areas

Improvement Research in Education Learning Technology Reading & Language

Recent Publications

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.

Matsumura, L.C., Sandora, C., DeMartino, S., & Zook-Howell, D. (2022). Student-centered routines for analytic writing online and ‘in person.’ Reading Teacher. 75(4), 513-519.

Litman, D., Zhang, H., Correnti, R., Matsumura, L., & Wang, E. A fairness evaluation of automated methods for scoring text evidence usage in writing," Proceedings of 22nd International Conference on Artificial Intelligence in Education (AIED),  June 2021.

Wang, E.L., Matsumura, L.C., Correnti, R., Litman, D., Zhang, H., Howe, E., Magooda, A., & Quintana, R. (2020). eRevis(ing): Students’ revision of text evidence use in an automated writing evaluation system. Assessing Writing.

Lindsay Clare Matsumura's Google Scholar profile

News and Awards

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

View

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

Diane Litman, Richard Correnti, and Lindsay Clare Matsumura, LRDC Research Scientists have been awarded an IES grant for their project, "Response-to-Text Tasks to Assess Students' Use of Evidence and Organization in Writing: Using Natural Language Processing for Scoring Writing and Providing Feedback At-Scale."

July 1, 2016

[Person photo]

Contact

418 MURDC

lclare@pitt.edu

(412) 624-7057

View CV