Adopted in fall 2014, the Student Success Collaborative (SSC) combines technology, research, process improvement and predictive analytics to enable proactive, data driven conversations with students. By leveraging 10 years of student data, predictive analytics can suggest patterns in student behavior, e.g. what courses are problematic for which students, what is the expected likelihood of success for students who perform at certain levels in specific courses or major, what additional options for success are suitable for students based on their current performance? Early identification and use of this information can positively affect student outcomes.
Implementation of the SSC Campus Coming Soon SWAT Team EAB Consultant Program Management Technical Support and Data Transfer
UWM will be moving from the SSC Foundation to the SSC Campus over the spring 2016 term. Full implementation is expected by summer 2016. Check back here for announcements regarding training/learning opportunities and updated timeline information.
Targeted advising campaigns enable advisors to maximize their impact by identifying specific student populations in need of supplemental attention. The SSC platform enables this process by making it easy to build lists of students that fit certain criteria. By deploying SSC risk analytics in combination with work list filters and student tracking features, advisors can create highly-specific campaigns and ensure that no students fall through the cracks.
SSC SWAT Team Members
Emily Sentz (ESentz@eab.com)
Provided by Tom Lemke (UWM UITS)
Implementation of the SSC Campus
Technical Support and Data Transfer