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I am Professor of Information Sciences & Technology in the School of Computing, College of Engineering & Computing (CEC) at George Mason University. I direct the Technocritical Research on AI, Learning & Society Lab (trailsLAB). 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 research is supported primarily by the U.S. National Science Foundation (NSF), including an Early CAREER Award. For details and most current information, please refer to my c.v. (updated: 08/2024) and publications. Most recently, I edited the International Handbook of Engineering Education Research (2023) which is available as Open Access.
Some recent talks and presentations related to AI, Cognition, and Ethics - a topic of current interest at trailsLAB - are available online: a presentation at the CRAI-CIS seminar at Aalto Univesity; my reflections on AI ethics for IEAI; a presentation on the role of algorithms in society for OLLI/AARP; short talks on using role-play scenarios for teaching AI/algorithm ethics for SEFI ethics webinar series and Mozilla responsible CS summit. As part of an NSF funded project we have created a range of role-play case studies to teach ethics of AI and algorithms and the material is available here.
My research has been recognized with several best paper awards and the International Handbook of Engineering Education Research (IHEER) and the Cambridge Handbook of Engineering Education Research (CHEER), co-edited with Barbara Olds, both received the 2024 and 2015 Best Book Publication Award from Division I of AERA. I am also the recipient of the 2022 University Teaching Excellence Award with special recognition for High Impact Teaching and the 2022 OSCAR Mentoring Excellence Award for exceptional research mentoring of undergraduate students and fostering a culture of student scholarship at Mason. Here is my take on mentorship.
I started my faculty career at Virginia Tech, Blacksburg, VA, where I was Associate Professor in the Department of Engineering Education in the College of Engineering, and affiliated faculty with Computer Science (CS) and Science and Technology in Society (STS). At VT, I received the Engineering Dean's Faculty Fellow Award for Extraordinary Performance in Research (2013) and Outstanding New Assistant Professor Award (2010).
During the 2021-2022 academic year I was on faculty research leave and served as Fulbright-Nokia Distinguished Chair in Information and Communication Technologies at the Department of Computer Science, Aalto University, Espoo, Finland, from August to December 2021; Global Visiting Professor at the Institute for Ethics in AI (IEAI) at the Technical University of Munich, Munich, Germany, from April to June 2022, and as a Visiting Scholar at the Leverhulme Center for the Future of Intelligence, Cambridge University, UK in July 2022. I have held short research stints at Microsoft Research Labs, Bengaluru, India, the Indian School of Business, Hyderabad, India, and the University of Siegen, Siegen, Germany.
I received my Ph.D. in Learning Sciences & Technology Design (2007) from Stanford University, Palo Alto, CA.
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