Skip to main content
Presentation
Identifying Variables Important to the Success of K-12 Students in Blended Learning
33st Annual Conference of the Northern Rocky Mountain Educational Research Assocation (2015)
  • Kerry Rice, Boise State University
  • Jui-Long Hung, Boise State University
Abstract
Presents findings from a blended learning program evaluation, using student end-of-course survey data combined with data mining. Findings suggest that it is possible to apply educational data mining techniques in blended learning classrooms to identify key variables important to the success of learners.
Disciplines
Publication Date
October 1, 2015
Location
Boise, ID
Citation Information
Kerry Rice and Jui-Long Hung. "Identifying Variables Important to the Success of K-12 Students in Blended Learning" 33st Annual Conference of the Northern Rocky Mountain Educational Research Assocation (2015)
Available at: http://works.bepress.com/kerry-rice/60/