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Identifying Beneficial Learning Behaviors from Large-Scale Interaction Data


ABSTRACT: Understanding the effect of learning behavior is fundamental to improving learning outcomes. In this paper, we perform a behavioral analysis based on data from a large high-stakes exam preparation platform. By measuring the importance of a set of candidate learning behaviors in predicting final exam outcomes, we identify a suite of beneficial behaviors. In particular, we find that breadth (wide coverage of content per week) and intensity together with consistency (frequent and equal-length practice for a limited period) are most predictive of final exam success rate, among eleven studied behaviors.

SUBMITTER: Bittencourt I 

PROVIDER: S-EPMC7334710 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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