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ICER 2020
Sat 8 - Thu 13 August 2020
Tiffany Barnes

Registered user since Wed 12 Aug 2020

Name: Tiffany Barnes

Bio: Tiffany Barnes is Professor of Computer Science at NC State University. She received the B.S. and M.S. degrees in Computer Science and Mathematics, and the Ph.D. degree in Computer Science from N.C. State. Dr. Barnes has served as chair or program chair for many conferences, including ACM SIGCSE, Educational Data Mining RESPECT, STARS Celebration, and Foundations of Digital Games. Tiffany Barnes has recently served on the ACM Special Interest Group on Computer Science Education Board (2010-2016), the Board of Directors for the International Educational Data Mining Society (2011-present), Chair of IEEE Computer STC Broadening Participation, and Associate Editor for IEEE Transactions on Learning Technologies (2016-present). Dr. Barnes received an NSF CAREER Award for her novel work in using data and educational data mining to add intelligence to STEM learning environments. Dr. Barnes co-leads for the STARS Computing Corps, a consortium of 53 universities that has engaged 1700+ college students in outreach (to over 120K K12 students), research, and service to broaden participation in computing. Dr. Barnes is currently working on NSF-funded projects to provide data-driven intelligent tutoring support in STEM (1432156, 1726550) and novice programming (1623470), mine math educational game data for actionable insights (1544273), prepare high school teachers to teach the new AP CS Principles course (1542922, 1346922), and to prepare K12 teachers to integrate computational thinking into their courses, and provide research experiences to undergraduates (1659745).

Country: United States

Affiliation: North Carolina State University

Personal website: http://eliza.csc.ncsu.edu

Research interests: artificial intelligence, machine learning, computer science education, educational technologies, broadening participation, learning analytics, educational data mining

Contributions

ICER 2020Author of Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science within the Research Papers-track
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