Valdosta State University-[node:field-date:custom:Y]--Predictive Analytics
Using predictive analytics to determine Math placement
Using predictive analytics to determine Math placement
Use predictive analytics to help identify students who are off track and help students understand their likelihood of success in particular programs.
USG Strategy 4.2. Use predictive analytics (EAB, D2L, or Ellucian) to help identify students who are off track and to help students understand their likelihood of success in particular programs
Using predictive analytics, EAB-Student Success Collaborative (SSC), to help identify students who are off track and to help students understand their likelihood of success in particular programs.
Use predictive analytics to identify admitted students for the fall freshman class who are academically at-risk and require that these students attend a seven-week summer session before fall classes
Use predictive analytics and a system of more than 800 alerts to track all undergraduates daily, identify at-risk behaviors, and have advisors respond to alerts by intervening in a timely fashion to get students back on track.
Restructuring the Academic Advising area for greater efficiency and effectiveness using data analytics to better predict student success.
FVSU will employ the use of predictive analytics to identify students who are “off track” and to help them understand their likelihood of success in programs and to ensure students who are off track receive timely and targeted advising intervention
Use predictive analytics to help identify students who are off track.
Requested and received funding from USG to join the Education Advisory Board’s in FY15; conducted pilot in Summer 2014; began intensive training of faculty and full implementation in Spring 2015; working continuously with EAB/SSC to improve success markers, platform functionality, and implementation.
Surveying of students in Fall 2015 about satisfaction with and perceptions of advising at DSC.