How Universities can use Campus-Wide Data to Increase Student Success
Most campuses realize the benefits of using data analytics to improve recruitment efforts and fine-tune financial aid packages. Now, information specialists are beginning to look at more creative and in-depth ways a broad spectrum of student data can be used campus-wide to increase student success.
From streamlining degree pathways to helping students matriculate more efficiently, using data to increase student success is only a matter of reliable information, imagination and the right team to analyze your school’s customized, automated reports.
3 Steps to Using Data to Increase Student Success on Your Campus
Campuses across the nation have used three systematic steps in order to harness campus-wide data to facilitate students’ success. This data comes from a wide range of sources, including students’ former academic records and teacher evaluations, as well as campus recordkeeping resources.
Industry professionals have recommended starting with these three best practices:
- Use your data to find discrepancies. Your team might be surprised to find that discrepancies in existing data, or the way existing data is being analyzed, leads to erroneous conclusions. For example, you may discover lower-performing students urged to start their AA degree are not counted as two-year graduates when those students transfer into – and graduate from – one of your college’s four-year programs. Getting an accurate grasp of this information gives prospective students and their parents a more accurate view of your school’s higher graduation rates.
- Identify factors in incoming freshman/transfers that lead to success. Scour your data to identify which factors are present in successful students before they ever step foot on campus. This will help recruitment efforts and will also illuminate the types of support or resources required to help incoming students who don’t have those factors in place.
- Identify factors that predict a drop in student success. By analyzing data for indicators that a student will not perform well in a particular course or subject matter, you can implement programs to bolster academic support using more personalized tools.
If you are looking to implement predictive analytics on your campus to help support your student success efforts, you may be interested in our Online Interview with Jennifer Green, Associate VP for Enrollment Management & Student Success at Longwood University. It takes place this Thursday, March 19th at 2PM. To register for the webinar, go here.
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