ÑÇÖÞAV

I am a Professor of Information Sciences & Technology in the College of Engineering and Computing at ÑÇÖÞAV. I study how the use of technology shapes learning in both formal and informal spaces, including the workplace, online communities, and extra-curricular activities. I publish broadly in engineering and computing education, educational technology, and computer-supported collaborative work and learning. My recent research is focused on ethics education with an emphasis on AI, algorithms, and data ethics. My research has been recognized with several best paper awards and the Cambridge Handbook of Engineering Education Research (CHEER), co-edited with Barbara Olds, received the 2015 Best Book Publication Award from Division I of AERA. My research is supported primarily by the U.S. National Science Foundation (NSF), including an Early CAREER Award. I received the Fulbright-Nokia Distinguished Chair Award 2021-2022 and the GMU Teaching Excellence and Mentoring Excellence Award in 2022.

ORCID:Ìý0000-0001-9018-7574

Research

2014 - 2018 : BIGDATA: IA: DKA: Collaborative Research: Learning Data Analytics: Providing Actionable Insights to Increase College Student Success. Funded by the National Science Foundation.

2015 - 2016 : TILES: Trajectories of Informal Learning among Engineering Students. Funded by the National Science Foundation.

2014 - 2015: Collaborative Research: Deep Insights Anytime, Anywhere (DIA2). Funded by the National Science Foundation.

Degrees

• PhD, Learning Sciences and Technology Design, Stanford University
• MS, Information, Design and Technology, Georgia Institute of Technology
• MA, Mass Communication, The University of Georgia
• BE, Mechanical, Delhi College of Engineering