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Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems
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Steven Dang; Michael Yudelson; Kenneth R. Koedinger – Grantee Submission, 2017
The current study introduces a model for measuring student diligence using online behaviors during intelligent tutoring system use. This model is validated using a full academic year dataset to test its predictive validity against long-term academic outcomes including end-of-year grades and total work completed by the end of the year. The model is…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Educational Technology, Academic Achievement