Adaptive Learning Professors in Global

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Natalie Bennett
Monash University Australia
collaborative learning
active learning
blended learning
constructivist learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
cognitive learning
motor learning
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Howard Schwartz
Carleton University Canada
adaptive learning systems
adaptive control
multi-robot learning adaptation
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Audrey Durand
Laval University Canada
adaptive learning systems
adaptive agents
statistical learning
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Sharon Flecknoe
Monash University Australia
collaborative learning
active learning
blended learning
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Lester Jones
Singapore Institute of Technology Singapore
reflective learning
student learning
self regulated learning
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Yuhong Guo
Carleton University Canada
active learning
self-supervised learning
representation learning
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Sophia Bello
University of Toronto Canada
active learning
language learning
experiential learning
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Samory Kpotufe
Columbia University United States of America
adaptive learning
active learning
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Harold Van Rijen
Utrecht University Netherlands
adaptive learning
creative learning
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Hongyang Dong
University of Warwick United Kingdom
adaptive control
adaptive dynamic programming
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Ali Sayed
École Polytechnique Fédérale de Lausanne Switzerland
adaptive networks
adaptation learning theories
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Evan Shelhamer
University of British Columbia Canada
adaptive computation
adaptation
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Justin Harris
University of Sydney Australia
associative learning
learning
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Simin Nadjm-tehrani
Linköping University Sweden
adaptive resource allocation
adaptive anomaly detection
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Robin Murphy
University of Oxford United Kingdom
associative learning
human learning
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Robert Boakes
University of Sydney Australia
associative learning
learning
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Amber Walraven
Radboud University Netherlands
adaptive expertise
adaptive capacity
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Stefan Kachel
University of Melbourne Australia
adaptive behavior
statistical learning
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Clark Lab
University of Pittsburgh United States of America
adaptive evolution
evolutionary adaptation
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Constantine Caramanis
University of Texas at Austin United States of America
adaptive control
statistical learning
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