Self Regulatory Learning Professors in Global

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Sascha Schneider
University of Zurich Switzerland
social learning
cognitive learning
motivational learning
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Il-min Kim
Queen's University Canada
continual learning
distributed learning
federated learning
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
reinforcement learning
continual learning
shot learning
federated learning
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Valerie Irvine
University of Victoria Canada
networked learning
learning design
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Katie Freund
Australian National University Australia
higher education professional learning
learning design
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Rachel Forgasz
Monash University Australia
self-study
learning
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John Yen
Pennsylvania State University United States of America
deep representation learning
federated learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
cognitive learning
rate learning
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Stefan Stenbom
KTH Royal Institute of Technology Sweden
digital learning
learning engineering
blended learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
representation learning
reinforcement learning
semi-supervised learning
continual learning
federated learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
representation learning
reinforcement learning
semi-supervised learning
continual learning
federated learning
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Marcia Linn
University of California, Berkeley United States of America
learning
simulation learning environments
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Charlotte Arkenback-sundström
University of Gothenburg Sweden
learning
vocational learning
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Lisa Delsignore
Yale University United States of America
test-enhanced learning
spaced learning
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Claire Bossavit
Simon Fraser University Canada
mastery learning
blended learning
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Judith Van Erp
Utrecht University Netherlands
regulatory governance
regulatory disclosure
regulation enforcement
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José Júnior
Uppsala University Sweden
distributed learning
federated learning
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Adrian Edin
Linköping University Sweden
distributed learning
federated learning
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Hamed Hassani
University of Pennsylvania United States of America
distributed learning
federated learning
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Bassel Al Homsi
University of New South Wales Australia
distributed learning
federated learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
distributed learning
federated learning
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