Beata Beigman Klebanov is a principal research scientist in the Learning and Assessment Foundations and Innovations Center (LAFI) in the Research & Development division at ETS. She received a Ph.D. in computer science with computational linguistics in 2008 and a B.S. (magna cum laude) in computer science in 2000 from the Hebrew University of Jerusalem, Israel. She received an M.S. with distinction in cognitive science from the University of Edinburgh, UK in 2001. Before joining ETS, she was a postdoctoral fellow at the Northwestern Institute for Complex Systems and Kellogg School of Management, where she researched computational approaches to political rhetoric.
Since joining ETS in 2011, Beigman Klebanov has led and contributed to R&D projects on literacy and language related skills. Since 2017, she has led the Relay Reader project to develop a tool for fostering reading development through interactive oral reading of literature. To date, the tool has been used in the innovative summer literacy program in the Children’s Defense Find’s Freedom School in Camden, NJ, as well as in additional summer programs in Bellport, NY, Washington, DC, Highstown, NJ, and in the tutoring program of the New Jersey Tutoring Corps. The work received coverage through ETS News and Insights; the app also received positive reviews on socialmedia. Most recently, the team received an expression of interest from a large school district in NJ. Relay Reader has spurred new research on assessing oral reading published in venues such as Journal of Educational Psychologyand the AI in Education and Learning and Knowledge Analytics conferences.
Beigman Klebanov has contributed to the development of the automated scoring and feedback capabilities for writing, including reflective writing, source-based writing, and argumentative writing. Together with Dr. Nitin Madnani of ETS AI Labs, she wrote the monograph Automated Essay Scoring, published in the prestigious Synthesis Lectures on Human Language Technologies series. Beigman Klebanov serves as an action editor for the journal Transactions of the Association for Computational Linguistics and as a chair of the Industry Track of the 2023 Annual Meeting of the ACL.