Optimal Learning Professors in Global

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Chris Campbell
University of New South Wales Australia
mobile learning
online learning
learning design
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Tatiana Chemi
Aalborg University Denmark
optimal learning environments
learning
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Neil Bramley
University of Edinburgh United Kingdom
optimal teaching
active learning
iterated learning
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Tamara Van Gog
Utrecht University Netherlands
learning
multimedia learning
self-regulated learning
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Vuong Phan
University of Southampton United Kingdom
optimal control
continuous optimisation
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Nick Turk-browne
Yale University United States of America
learning
statistical learning
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Robert Boakes
University of Sydney Australia
learning
associative learning
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Justin Harris
University of Sydney Australia
learning
associative learning
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Kyle Mayer
University of Southern California United States of America
learning
organizational learning
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Theo Hofman
Eindhoven University of Technology Belgium
optimal system design
optimization theory
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
cognitive learning
perceptual learning
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Robin Murphy
University of Oxford United Kingdom
human learning
associative learning
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Sonja Zaar
Maastricht University Netherlands
learning agility
learning versatility
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Frank Miller
Linköping University Sweden
optimal experimental designs
optimization algorithms
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Yuhong Guo
Carleton University Canada
active learning
safe learning
continual learning
self-supervised learning
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Andrea Harkins-brown
Johns Hopkins University United States of America
professional learning
universal design for learning
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Angela Jaap
University of Glasgow United Kingdom
professional learning
learning technology
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
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Guillem Esber
Concordia University Canada
reward learning
associative learning
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Guillem Esber
Concordia University Canada
reward learning
associative learning
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Becket Ebitz
University of Montreal Canada
learning memory
learning processes
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