Elearning Professors in Global

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Yuhong Guo
Carleton University Canada
self-supervised learning
continual learning
active learning
federated learning
machine learning
reinforcement learning
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Chris Campbell
University of New South Wales Australia
online learning
eportfolios
mobile learning
educational technologies
learning design
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Mark Pegrum
University of Western Australia Australia
e-learning
digital learning
educational technology
mobile learning
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John Schulz
University of Southampton United Kingdom
e-learning
online learning
digital education
video-based learning
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Jennifer Lock
University of Calgary Canada
e-learning
experiential learning
educational technology
distance education
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Minjie Xing
University of Manchester United Kingdom
e-learning
educational technology
interactive learning
cooperative learning
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Jennifer Howell
University of Western Australia Australia
online learning
virtual learning
augmented learning
educational technologies
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Stefan Stenbom
KTH Royal Institute of Technology Sweden
digital learning
online education
blended learning
educational technology
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Stefan Stenbom
KTH Royal Institute of Technology Sweden
digital learning
blended learning
educational technology
learning engineering
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David Appel
ZHAW Zurich University of Applied Sciences Switzerland
e-assessment
digital education
educational technologies
learning design
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
online learning
statistical learning
machine learning
reinforcement learning
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Sophia Bello
University of Toronto Canada
experiential learning
language learning
active learning
community-engaged learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
cognitive learning
depth learning
perceptual learning
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Pieter Abbeel
University of California, Berkeley United States of America
meta-learning
deep learning
imitation learning
reinforcement learning
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Vinay Gogineni
University of Southern Denmark Denmark
self-supervised learning
continual learning
meta learning
machine learning
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Mohsen Amiri
Stockholm University Sweden
deep learning
federated learning
machine learning
reinforcement learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
deep learning
active learning
machine teaching
machine learning
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Colla Macdonald
University of Ottawa Canada
e-learning
online learning
distance education
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John Wiecha
Boston University United States of America
elearning
distance education
instructional technology
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Anne Petersen
Aalborg University Denmark
e-learning
blended learning
distance education
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Christian Stöhr
Chalmers University of Technology Sweden
digital learning
online learning
technology-enhanced learning
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