Faculty, University of Pittsburgh Intelligent Systems Program
Professor, University of Pittsburgh Department of Computer Science
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.
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.
Tran, N., Alikhani, M., & Litman, D. (2022) How to ask for donations? Learning user-specific persuasive dialogue policies through online interactions. In Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, New York, NY, USA, 12–22.
Steele, C., Lobczowski, N., Davison, T., Yu, M., Diamond, M., Kovashka, A., Litman, D., Nokes-Malach, T., & Walker, E. (2022). It takes two: Examining the effects of collaborative teaching of a robot learner. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham.
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
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
Congratulations to Kevin Ashley, Professor, Law, and Diane Litman, Professor, School of Computing and Information, who received a $600,000 grant from Amazon and the National Science Foundation (NSF) Fairness in Artificial Intelligence for "Using AI to Increases Fairness by Improving Access to Justice."
January 28, 2022
Kevin Ashley and Diane Litman have received a grant from the joint Amazon and National Science Foundation Fairness in Artificial Intelligence program to support their project, "Using AI to Increase Fairness by Improving Access to Justice."
November 16, 2021
Kudos to Sonia Cromp, Diane Litman's undergraduate student, who received the best paper award at the Workshop for Undergraduates in Educational Data Mining and Learning Engineering, for "Essay Revision and Corresponding Grade Change as Captured by Text Similarity and Revision Purposes."
June 29, 2021
![[Person photo]](/people/images/litman_d.jpg)
Contact
420 MURDC
(412) 624-1261
