Rene Kizilcec Photo

Rene F. Kizilcec, Ph.D.
Assistant Professor, Cornell Information Science
Director, Future of Learning Lab

Contact: kizilcec@cornell.edu | +1 (607) 255-8327
Office: 208 Gates Hall, 107 Hoy Rd., Ithaca, NY 14853
Office Hour: Mondays, 2-4pm

Curriculum Vitae

Rene Kizilcec is an Assistant Professor in the School of Computing and Information Science at Cornell University, where he directs the Future of Learning Lab. He studies the impact of technology in formal and informal learning environments (including college classes, online degree programs, mobile learning, professional development, MOOCs, and middle/high school classrooms) and scalable interventions to broaden participation and reduce achievement gaps. His research has been published in Science, Science Advances, Proceedings of the National Academy of Sciences, Journal of Educational Psychology, Computers in Human Behavior, Computers & Education, and in the proceedings of leading human-computer interaction and education conferences like ACM CHI and Learning@Scale; his work received multiple ACM Best Paper awards. In 2020, he was Program Co-Chair for the 2020 ACM Learning at Scale conference.

Kizilcec received a BA in Philosophy and Economics from University College London, and a MSc in Statistics and PhD in Communication from Stanford, with a doctoral thesis on designing psychologically welcoming online learning environments, which was awarded the Nathan Maccoby Outstanding Dissertation Award. Prior to joining Cornell, he spent a year as a research assistant professor at Arizona State University and as a research director at the Stanford Graduate School of Education.

Kizilcec is known for his research on understanding and supporting learners in online courses. He also works on developing methods for the design and analysis of experiments. His recent work examined the consequences of social identity threat, self-regulation, trust, and cultural differences on individual behavior and performance using longitudinal field experiments. He leverages techniques from data mining, machine learning, and natural language processing to examine behavior and motivation, reveal heterogeneous treatment effects, and inform user-centered design. Kizilcec has also worked with Facebook to conduct research on social influence in sharing behavior on social media.

You can follow him on Twitter @whynotyet.

Selected Press

On Behavioral Science Interventions at Scale: Forbes, EdSurge, The Harvard Gazette, Cornell Chronicle.

On Online Courses in Higher Education: The Times, The Daily Californian, Cornell Chronicle.

On Self-regulation and Culture: Xinhua News, The Australian, Stanford News.

On AI Transparency: Harvard Business Review, SiriusXM Business Radio by The Wharton School.

On Closing Global Achievement Gaps with Psychological Interventions: PBS Rewire, Inside Higher Ed, EdSurge News, The Australian, Engadget, Science Daily, Futurity, MIT News, Stanford News.

On Learning Analytics in MOOCs: BBC, ACM Tech News, MOOC News and Reviews, Stanford News.