Integrating Predictive Analytics as a Core Component of ... · 14/07/2016 · Integrating...
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Integrating Predictive Analytics as a Core Component of Student Success at Large Public University Rick Sluder, Vice Provost for Student Success July 14, 2016
Transcript of Integrating Predictive Analytics as a Core Component of ... · 14/07/2016 · Integrating...
Integrating Predictive Analytics as a
Core Component of Student
Success at Large Public University
Rick Sluder, Vice Provost
for Student SuccessJuly 14, 2016
Objectives Today …
MTSU’s integration of predictive analytics
Using data to inform strategies and actions
Creating momentum thru weekly updates
and reports
MTSU: The Place
The campus … is amazing and beautiful
o $700 mil in capital construction
o Culture
MTSU: Our Students
• 22,511
• 21.9 ACT
• 50% Pell-eligible
• 73.2% retention
• 50% six-year completion
MTSU’s Foundational Guide
Goals
1. MTSU will recruit students who value student
success and have the potential to achieve in a student-
centered culture.
2. MTSU will enhance the academic experience of
students to better ensure success.
3. MTSU will facilitate student success through innovation
and the use of data-informed best practices.
Primary Initiatives
1. Advising enhancements
2. Course redesign
3. Tutoring
4. Communication plans and
systems, including performance
metrics
Advising Enhancements
47 new advisors• 260/1
Predictive analytics system• Education Advisory Board, Student Success
Collaborative (EAB SSC)
• AKA, “SSC Campus”
Advising Approaches: Old and New
1. Old: Volunteer, or forced
2. New: ID at-risk students for outreach and
targeted interventions
Transforming Advising …
SSC launch 10-29-14
Within 1-2 weeks, became a top user
Importance of utilization at start-up
Importance of strategic application as usage
matures
How?
Leadership
Veteran users vs. new
Creation of habits
Transforming Advising …
How? (continued)
Regular reports, disseminated widely!
How? Regular Reports at Unit Level …
Transforming Advising …
Moving from number of contacts to
strategic application of analytics
Asking each unit to identify two campaigns
that would generate easy wins
Development of campus-wide calendar of
campaigns
Transforming Advising (cont) …
Education about analytics
What %?
What %?
What %?
Transforming the Campus …
Understanding predictive courses
And their relationship to student success
MTSU’s Most Predictive Course: HIST 2020
The Power of Powerful Instruction
Transforming the Campus …
The importance of
Weekly updates
Tracking metrics on weekly basis
Caseload management approach!!
Week 24, Percent of Fall
2013 Students
Registered for Fall 2014
Week 24, Percent of Fall
2014 Students
Registered for Fall 2015
Week 24, Percent of Fall
2015 Students
Registered for Fall 2016
% point
diff from
prev year
First-time Freshmen 69.6 74.4 76.1 1.7
New Transfers 63.3 68.9 70 1.1
Freshmen, Transfer Retention as of 07-04-16
Week 24, Percent of Fall
2013 Students
Registered for Fall 2014
Week 24, Percent of Fall
2014 Students
Registered for Fall 2015
Week 24, Percent of Fall
2015 Students
Registered for Fall 2016
% point
diff from
prev year
Continuing Freshmen 59.4 63.6 64.9 1.3
Continuing Freshman Retention as of 07-04-16
Week 24, Percent of Fall
2013 Students
Registered for Fall 2014
Week 24, Percent of Fall
2014 Students
Registered for Fall 2015
Week 24, Percent of Fall
2015 Students
Registered for Fall 2016
% point
diff from
prev year
Sophomores 73.1 76 77.3 1.3
Sophomore Retention as of 07-04-16
Week 24, Percent of Fall
2013 Students
Registered for Fall 2014
Week 24, Percent of Fall
2014 Students
Registered for Fall 2015
Week 24, Percent of Fall
2015 Students
Registered for Fall 2016
% point
diff from
prev year
First-time Freshmen 69.6 74.4 76.1 1.7
CBAS 70.3 73.5 75.8 2.3
CBHS 69.6 75.3 76.5 1.2
COB 62.5 73.8 71.8 -2
COE 80.4 84.8 79.4 -5.4
CLA 67.6 69.9 77.5 7.6
ME 74.1 78.5 80.5 2
UC 67.9 73.1 74 0.9
First-time Freshman Retention as of 07-04-16
Results to Date …
Record increases in persistence, retention,
progression!!
