Diane Litman

Faculty, University of Pittsburgh Intelligent Systems Program

Professor, University of Pittsburgh Department of Computer Science

Senior Scientist, Learning Research & Development Center



Education and Training

PhD, University of Rochester

Research Interests

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.

Artifical Intelligence Automated Writing Evaluation Computer-supported Collaboration Intelligent Tutoring Systems Natural Language Processing

Related Research Areas

Learning Technology

Recent Publications

 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,   3(1: Spring 2022). https://doi.org/10.1037/tmb0000063

Ashley, K., Litman, D., He, D., Hwa, R., & Anderson, J. (2021). Center for text analytic methods in legal studies. In: Pitt Momentum Fund 2021.

Afrin, T., Kashefi, O., Olshefski, C., Litman, D., Hwa, R., & Godley, A. (2021). "Effective interfaces for student-driven revision sessions for argumentative writing." Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1-13.

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.

Yu, M. & Litman, D. "Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to End Response Selection Using BERT," Proceedings of the 34th International FLAIRS Conference,  May 2021.

Diane Litman's Google Scholar profile

News and Awards

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


Kudos to LRDC Momentum Grant recipients: Josefina Bañales: Anti-Racism Action Development Among Latinx Youth; Jamie Hanson: Understanding the Role of the Brain in Race/Ethnicity Based Stressors and Behavioral Challenges Among Youth of Color; Kevin Ashley and Diane Litman: Center for Text Analytic Methods in Legal Studies; Omid Fotuhi: Improving Educational Opportunities for Black Youth in Pittsburgh: A Justice-Centered Intervention.

June 2021


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(412) 624-1261

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