Context Learning Professors in Global

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Jennifer Howell
University of Western Australia Australia
virtual learning
augmented learning
online learning
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Arthur Galamba
King's College London United Kingdom
collaborative learning
online learning
hybrid learning
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Nick Turk-browne
Yale University United States of America
learning
statistical learning
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Michael Mack
University of Toronto Canada
category learning
human memory learning
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Yali Amit
University of Chicago United States of America
learning
speech recognition
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Sarah Bottjer
University of Southern California United States of America
learning
vocal learning
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Johanna Van Schaik
Radboud University Netherlands
learning
inquiry learning
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Pernille Rattleff
Technical University of Denmark Denmark
learning
teaching and learning
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Tatiana Chemi
Aalborg University Denmark
learning
teaching and learning
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Moira Maley
University of Western Australia Australia
video learning
experiential learning
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Annalisa Raymer
Cornell University Netherlands
ecosystem learning
learning cities
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Jason Klusowski
Princeton University United States of America
statistical learning
decision tree learning
deep learning
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Krishna Balasubramanian
University of California, Davis United States of America
statistical learning
deep learning
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Ying Ma
Brown University United States of America
statistical learning
deep learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
online learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
online learning
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Richard Aslin
Yale University United States of America
statistical learning
implicit learning
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Dingxuan Zhou
University of Sydney Australia
learning theory
deep learning
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Pratheepa Jeganathan
McMaster University Canada
statistical learning
multi-view learning
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Wan Shun Eva Lam
Northwestern University United States of America
learning in new media environments
learning in transnational cultural and political contexts
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Raymond Mooney
University of Texas at Austin United States of America
ensemble learning
statistical relational learning
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