Faculty, University of Pittsburgh Intelligent Systems Program
Professor, University of Pittsburgh Department of Computer Science
Associate Dean, Mentoring and Development, School of Computing and Information
Senior Scientist, Learning Research & Development Center
PhD, University of Rochester
My research is in the area of artificial intelligence, and includes contributions in the areas of artificial intelligence and education, computational linguistics, knowledge representation and reasoning, natural language learning, spoken language, and user modeling.
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.
Afrin, T., & Litman, D. (2023). Learning from auxiliary sources in argumentative revision classification. Proceedings from Artificial Intelligence in Education, 2023. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 272–277.
McCarthy, K. S., Litman, D., Crossley, S. A., Meyers, K., Boser, U., Allen, L. K., Chaudhri, V. K., … Graesser, A. (2022). Toward more effective and equitable learning: Identifying barriers and solutions for the future of online education. Technology, Mind, and Behavior.
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.
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
Kudos to Diane Litman and co-authors Zhexiong Liu, Meiqi Guo, and Yue Dai who received Best Paper Award for "ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining," at the 9th Workshop on Argument Mining, COLING, South Korea 2022.
October 24, 2022
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
Diane Litman was featured in the Summer 2022 LRDC Research News for "Toward More Effective and Equitable Online Learning."
March 31, 2022
Pitt Momentum Scaling Grant: Center for Text Analytic Methods in Legal Studies: Kevin Ashley, School of Law with School of Computing & Information Science colleagues Daqing He, Diane Litman, and Rebecca Hwa; and James Anderson, RAND. Scaling Grants are awarded for a two-year term with an award cap of $ 400,000, enable multi-disciplinary teams to competitively scale their research efforts in targeted pursuit of large-scale external funding.
March 21, 2022
![[Person photo]](/people/images/Diane-Litman.jpg)
Contact
420 MURDC
(412) 624-1261
