In search for the most informative data for feedback generation: Learning analytics in a data-rich context.
Computers in Human Behavior(2015)
摘要
•Formative assessment data have high predictive power in generating learning feedback.•Track data from e-tutorial systems are second-best predictors for timely feedback.•Predictive power of LMS data falls short in LA applications with rich data sources.•Learning dispositions take a unique position being complementary to all other data.•Combination of several data sources in LA is key to get timely, predictive feedback.
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关键词
Blended learning,Dispositional learning analytics,e-Tutorials,Formative assessment,Learning dispositions
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