The CMPH team used HyperTraPS and more to explore how students completed tasks in online learning.
The authors also introduce a recently developed probabilistic Bayesian model to learn sequential behaviours of students and predict student performance.
The paper in full is available here: Understanding learner behaviour in online courses with Bayesian modelling and time series characterisation | Scientific Reports (nature.com)
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Reporter
Anna Radomska
Faculty of Engineering
