1. Dr. Paul Dosal, Vice President - Student Affairs & Student Success
Shining the Light on Student Success at the University of South Florida
Dr. Paul Dosal, Vice President - Student Affairs & Student Success
May 1, 2018

2. Predicting First-Year Retention Rate

3. Top 10 Powerful PREDICTORS
Consistency of Missed Days of Any LMS Activity Compared to the Section Average
High School GPA
Distance from Average Count of LMS Assignment Activities
Merit Based Aid Per Attempted Credit Hour (Cumulative)
Difference from Average in Count of Discrete Days of Any LMS Activity

4. Top 10 Powerful PREDICTORS
High School Name
Total Count of Canvas LMS Messaging (Prior Term)
Average Number of Sections Attempted Per Term (Cumulative)
Distance from Average Count of LMS Exam Activities
Distance from Average in LMS Discussion Board Post Length

5. GPA Tipping Point

6. The A-Team Approach Charge Review and validate all insights
Recommend stress tests
Move from insights to changes to policy and practice
Members
VP – Student Affairs
VP – Information Technology
Associate Deans
AVP – Institutional Research
Professor - Analytics

7. Lessons Learned Analytics paints a picture of a possible future.
The platforms don’t tell you what to do.
Keep the focus on action, not research.
You don’t get a users manual with the analytics platform.

8. The Urgency of NOW

9. FTIC Retention Rate
*Source IPEDS: Data reported follows IPEDS methodology but are based on internal preliminary data.

10. Six-Year GRADUATION Rate
*Source IPEDS: Data reported follows IPEDS methodology but are based on internal preliminary data.

11. Civitas Illume PREDICTIVE ANALYTICS
2-4%
of Students Need Intervention

12. Created PERSISTENCE COMMITTEE
Formed in early 2016; initial focus on 2015 cohort
Cross functional team who identifies and supports all at-risk students through timely and appropriate interventions
Academic Advocates (case managers) Financial Aid
Housing & Residential Education Academic Advisors
Academic Foundations Instructors Cashier’s Office
Orientation Team Leaders Library
Career Counselors New Student Connections
Receives list of at-risk students weekly and segments into groups based on risk level

13. Right SUPPORT, Right STUDENT, Right TIME
Persistence Committee and Academic Advocates identify at-risk students with early warning signs
Meet, counsel and refer students to the appropriate expert
Tap into a dynamic network of service providers (Care Team) to leverage expertise of numerous offices

14. Pushing Higher with a CASE MANAGEMENT Model

15. Emerging CASE MANAGEMENT Approach
Civitas Prediction Distribution
Triage by
Persistence Committee
Deliver Appropriate and
Timely Support
What is the likelihood that a student is likely to persist to the next semester?
Diagnose the “illness”; Who knows the student?
Who is in the best position to “treat” the student?
High-Touch Care
Urgent “cases” requiring immediate assistance
Financial problems dominate
Peer student outreach if possible
Refer out if a health/wellness issue
Coordinate Care
Advocates manage cases for students
Refer “cases” thru Archivum Insights
Care Team shares notes on interventions
Students linked to their care team
Very Low
Moderate
Low
High-Tech Guidance
Use electronic tools to nudge and advise
Automate reporting and communication
Enhance Quality
of Experience
Promote HIPs
Engage the student
Very High
High

16. Partnership with
INFORMATION TECHNOLOGY

17. Archivum Insights Platform
Proprietary platform developed on Appian’s low code platform
Assembles data from multiple sources
Allows for academic advocates to manage student “cases”
Supports all students, yet allows segmentation
Connects all student support personnel and facilitates communications, referrals and follow-up
Provides self-service capabilities for students

18. Student Success Dashboard
Showing the Corral and access to other functions

19. My Cases and Referrals
Ability to filter and search cases and referrals

20. Referrals
Easily create referrals to departments or services

21. 6-Year Graduation Rate: Race & Ethnicity
*Source IPEDS: Data reported follows IPEDS methodology but are based on internal preliminary data.

22. 6-Year Graduation Rate: PELL & NON-PELL
*Source IPEDS: Data reported follows IPEDS methodology but are based on internal preliminary data.

23. 6-Year Graduation Rate: GENDER
*Source IPEDS: Data reported follows IPEDS methodology but are based on internal preliminary data.

24. CHALLENGES to Address Drive 6-Year Grad Rate to 80% Close Gender Gap
Fully explore power of analytics
Revise academic advising model to incorporate high tech and big data
Bring ALL support personnel into the case management platform

25. RECOMMENDATIONS & “Do Overs”
Predictive analytics gives you insight only
Prepare for managing change in culture
Decentralized academic advising structure is not optimal for the model
Support services must shift from passive to active