Share Paper: Online Graduate Teacher Education: Establishing an EKG for Student Success Intervention

  1. Brett Shelton, Boise State University, United States
  2. Jui-long Hung, Boise State University, United States
Thursday, March 5 1:45 PM-2:05 PM Amazon P

Abstract: Predicting which students enrolled in graduate online education are at-risk for failure is an arduous yet important task for teachers and administrators alike. This research reports on a statistical analysis technique using both static and dynamic variables to determine which students are at-risk and when an intervention could be most helpful during a semester. Time-series analysis of online teacher education classes revealed that prediction is possible after the 10th week capturing over 78% of at-risk students. Visual analysis of dynamic student activities shares a number of striking commonalities consistent with EKG charting. Next phases of research will apply further validation ...