Predicting Student Performance Professors in Global

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Judi Mccuaig
University of Guelph Canada
student modelling
intelligent tutoring
educational data mining
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Courtney Bell
University of Wisconsin–Madison United States of America
performance assessments
measurement in teaching
teacher learning
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Professor
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Nick Turk-browne
Yale University United States of America
predictive coding
learning
statistical learning
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Professor
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Dale Griffin
University of British Columbia Canada
prediction
forecasting
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Ange Nyamen Tato
Laval University Canada
learner behavior prediction
educational data mining
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Guy Lacroix
Carleton University Canada
academic performance
learning
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Wen Luo
Texas A&M University United States of America
student learning
teacher performance
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Sebastian Fossati
University of Alberta Canada
prediction
time series forecasting
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Barbara Flunger
Utrecht University Netherlands
academic outcomes
learning behavior
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Jan Vermunt
Eindhoven University of Technology Belgium
student learning
teacher learning
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Matthew Gardner
Concordia University Canada
predictive information
learning behavior
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Lauren Watson
Monash University Australia
student perceptions
student wellbeing
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Lori Newcomb
University of Illinois United States of America
performance studies
theories of performance
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Monika Feldmann
University of Bern Switzerland
predictability
ai-based forecasts
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Kelly Garner
University of New South Wales Australia
cognitive performance
learning expectations
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Rick Hackett
McMaster University Canada
performance assessment
human performance
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Niels Lennon
Aalborg University Denmark
performance measurement
visualization of performance information
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Gard Helle
University of Southern Denmark Denmark
climate predictions
weather predictions
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Karima Dyussekeneva
University College London United Kingdom
forecasting
predictive analytics
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Nicholas Harris
University of Southampton United Kingdom
predictive inspection
performance monitoring
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Elle Saber
Australian National University Australia
predictive modeling
genomic prediction
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