Investigating the reliability of aggregate measurements of learning process data: From theory to practice
Yingbin Zhang,
Yafei Ye,
Luc Paquette
et al.
Abstract:BackgroundLearning analytics (LA) research often aggregates learning process data to extract measurements indicating constructs of interest. However, the warranty that such aggregation will produce reliable measurements has not been explicitly examined. The reliability evidence of aggregate measurements has rarely been reported, leaving an implicit assumption that such measurements are free of errors.ObjectivesThis study addresses these gaps by investigating the psychometric pros and cons of aggregate measurem… Show more
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