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His research focuses on the impact of digital technologies in educational contexts, particularly questions of equality in online learning and social-psychological barriers to success, and scalable interventions to improve educational outcomes and reduce achievement gaps. Kizilcec is known for his research on understanding and supporting learners in open-scale courses such as Massive Open Online Courses, or MOOCs. He also works on developing methods for the design and analysis of experiments. His research has been published in Science, 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; his work received multiple ACM Best Paper awards and competitive research fellowships.
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论文共 117 篇作者统计合作学者相似作者
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International Journal of Artificial Intelligence in Educationno. 1 (2024): 12-19
IEEE Internet Computingno. 1 (2024): 7-9
Roger Yat-Nork Chung,I. Glenn Cohen, Ben Freedman, Colin Gavaghan,Sara Gerke, Kendall Ho,Irwin King,René F. Kizilcec, Simon Krakovsky, Michael Lai, Loren Laine, Thomas Y.T. Lam,
Artificial Intelligence in Medicine (2024)
CoRR (2024)
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iConference (1)pp.445-460, (2023)
Rebecca Ferguson,Hassan Khosravi,Vitomir Kovanović,Olga Viberg,Ashish Aggarwal,Matthieu Brinkhuis,Simon Buckingham Shum, Lujie Karen Chen,Hendrik Drachsler, Valerie A. Guerrero, Michael Hanses,Caitlin Hayward,
Journal of learning Analyticsno. 2 (2023): 14-50
CoRR (2023)
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CoRR (2023)
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