Example Based Learning Professors in Global

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Samory Kpotufe
Columbia University United States of America
adaptive learning
multi-task learning
active learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
reinforcement learning
active learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
reinforcement learning
active learning
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Yichen Zhang
Purdue University United States of America
distributed learning
reinforcement learning
multi-task learning
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Min Liu
University of Texas at Austin United States of America
game-based learning
project-based learning
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Jean-philippe Ayotte-beaudet
University of Sherbrooke Canada
place-based learning
nature-based learning
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Elham Al-omari
University of Regina Canada
simulation-based teaching
concept based teaching
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Izzati Ibrahim
University of Southampton United Kingdom
design-based learning
repetitive learning
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Susan Finger
Carnegie Mellon University United States of America
project-based learning
collaborative learning
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Mi Kim
Western University Canada
game-based learning
informal learning
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Erik Barendsen
Radboud University Netherlands
context-based teaching
design-based teaching
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John O'doherty
California Institute of Technology United States of America
reward-related learning
associative learning
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Jessica Lee
University of Sydney Australia
rule learning
causal learning
associative learning
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Roger Carrick
University of Toronto Canada
project-based learning
personalized learning
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Davide Nicolini
Warwick Business School United Kingdom
action-based learning
practice-based approaches
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Hossein Nassaji
University of Victoria Canada
task-based teaching
form-focused instruction
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Arkasama Bandyopadhyay
Texas A&M University United States of America
project-based learning
active learning
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Evan Livesey
University of Sydney Australia
learning reasoning
associative learning
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Jennifer Lake
University of Toronto Canada
applied learning
collaborative learning
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Anthony Coache
Imperial College London United Kingdom
statistical learning
reinforcement learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
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