Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success

Volume: 28, Pages: 68 - 84
Published: Jan 1, 2016
Abstract
null null This study examined the extent to which instructional conditions influence the prediction of academic success in nine undergraduate courses offered in a blended learning model (n = 4134). The study illustrates the differences in predictive power and significant predictors between course-specific models and generalized predictive models. The results suggest that it is imperative for learning analytics research to account for the diverse...
Paper Details
Title
Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success
Published Date
Jan 1, 2016
Volume
28
Pages
68 - 84
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.