Learning In Economics Professors in Global

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Olivia Mesta
University of Waterloo Canada
business economics
financial economics
mathematical economics
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Michele Battisti
University of Glasgow United Kingdom
economics
labor economics
economics education policy evaluation
economics gender
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Doris Lewalter-manhart
Technical University of Munich Germany
learning environments
motivation in learning
formal learning
informal learning
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John Geanakoplos
Yale University United States of America
financial economics
mathematical economics
economic theory
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Sascha Becker
University of Warwick United Kingdom
economics
business economics
labor economics
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Anne Brenøe
University of Zurich Switzerland
business economics
labor economics
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Ralph Chikhany
New York University United States of America
business economics
online learning
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Mervin Daub
Queen's University Canada
business economics
energy economics
economic forecasting
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Karen Fuson
Northwestern University United States of America
learning activities
mathematics teaching and learning
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Liss Sylvén
University of Gothenburg Sweden
language learning
vocabulary learning
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Virginie Pignot-shahov
University of Southampton United Kingdom
language learning
vocabulary learning
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Clare Chua-chow
Toronto Metropolitan University Canada
business education
online learning
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Deborah Lucas
Massachusetts Institute of Technology United States of America
economic research
financial economics
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Marjoleine Heijboer
Utrecht University Netherlands
workplace learning
organizing learning processes
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Qi Yuan
Memorial University of Newfoundland Canada
learning and memory
modulation of learning
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Chiara Sotis
Northwestern University United States of America
cognitive economics
behavioral economics
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Girish Bahal
University of Western Australia Australia
networks in economics
labor economics
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Chris Campbell
University of New South Wales Australia
learning design
online learning
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Rahul Jain
University of Southern California United States of America
reinforcement learning
online learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
online learning
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Ciara Pike-burke
Imperial College London United Kingdom
reinforcement learning
online learning
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