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Valerie Barr is a groundbreaking computer scientist who has been a national leader in efforts to broaden participation in computing and connect the field to a wide array of liberal arts disciplines.
In addition to teaching, Barr has been involved with curriculum development and computing education. Her research projects have been funded repeatedly over the past two decades by the National Science Foundation. Her research interests also include reanalyzing degree attainment data to better identify and understand long-standing trends in the areas of gender, race, and ethnicity, and in software testing, particularly as applied to artificial intelligence and language processing systems.
In addition to teaching, Barr has been involved with curriculum development and computing education. Her research projects have been funded repeatedly over the past two decades by the National Science Foundation. Her research interests also include reanalyzing degree attainment data to better identify and understand long-standing trends in the areas of gender, race, and ethnicity, and in software testing, particularly as applied to artificial intelligence and language processing systems.
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Zachary Dodds, Yuan Garcia,Vidushi Ojha,Mark Guzdial,Tamara Nelson-Fromm,Valerie Barr, Stephanos Matsumoto
Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2 (2024)
PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023pp.617-623, (2023)
Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2 (2022)
Computer Science Educationpp.1182-1182, (2022)
Issue 3.1, Winter 2021Harvard Data Science Review (2021)
Proceedings of the 51st ACM Technical Symposium on Computer Science Education (2020)
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