1. Measuring the Impact of Services & Interventions on Student Success
Welcome

2. Piedmont Technical College
Presenters
Piedmont Technical College
Carol Paguntalan
Director of Academic Advising
Jessie Estep
Intervention and Support Counselor
Zeolean Kinard
Special Projects, IT
ZogoTech
Michael Taft
Founder and CEO
Carol and Jessie introduce themselves
Z introduces herself and Michael

3. The Tool - ZogoTech
We were looking for a comprehensive solution when we procured ZogoTech
Integrates data from other sources – Banner, National Student Clearinghouse,
Tutoring software, etc
Point in time comparisons (enrollment – major, campus, course)
Cohort tracking (FTIC, pilot groups, grants, QEP)
Provide alerts based on student behavior (Students in developmental classes, Web only classes, L term classes, M or U at mid-term, etc)
Evaluates effectiveness of interventions/services ( will demonstrate ow we track this)
Centralize communication/service data (will demonstrate)
Empowers end-users
Modules:
Scorecard with KPIs and drill down to program level data
Reporting/Analytics
Student Navigator

4. New Student Advisement Career Planning & Counseling
Departmental Impacts
New Student Advisement
Career Planning & Counseling
Faculty
Institutional Impact
Communication
Ad Hoc Reporting
Documentation
Training
Changed Culture
Democratization of Data
Focus of Presentation
ZogoTech Student Navigator
Comprehensive student tracking and intervention tool
Used by faculty and staff
Share notes
Communicate with students
Identify “at risk” students
Identify students to track and follow their progress over-time Z
ZogoTech is the tool that we use. It has changed the culture at PTC – data in accessible to the end user

5. ZogoTech - Student Navigator
First we want to share with you what the Student Profile that is provided in the Student Navigator
The first page presents specific academic information on a student pulled from multiple sources onto one page; including alerts
The remaining tabs are pulling data that is used to effectively advise or provide guidance to students from other sources, mostly the SIS – but data that is typically placed on many different forms

6. Example with multiple contacts

7. Example of retaking classes

13. CSI College Student Inventory Form C
Ruffalo-Noel Levitz

14. Uses & Impact
Carol Explain our definition of Services and Interventions
Ask question of the audience – we are interested in hearing how you measure the impact of the services that you offer and track student interventions
How many are you doing this on your campus?

15. Enter notes based on advising service provided
New Student Advising
Enter notes based on advising service provided
Case Management
Review students needing contact by reason or filter
No contact within time range
M or U at midterm
Has not had degree plan created
Upcoming birthday
Review persistence or retention status
Can compare with similar groups
Helps with referrals
Carol and Z have contacts as Advisors
Contact table w/ reason=Degree Plan (149)
Explain the way that we get to information about a group of students is through filtering and reports
Examples to demonstrate
Add a contact
Show currently enrolled students who are FTIC (alert) with a degree plan and then show those without
Show those enrolled students with a M or U at midterm (fall)
Show the New student list with enrolled in current term filter 862 of the 1187 have persisted (72.62%); can drill into more data – how many completed all attempted credits? How many completed with a 2.0 GPA, etc….

16. New Student Advising (cont.)
Tracking
Students who attended enrollment events
Students who attended orientation
Batch Contacts
Sending an
Saving a contact
Staffing
Number of walk ins during low staff holiday week
Reasons during peak times
Carol
Z has a small list to upload
Demonstrate entering a batch contact; sending an
Staffing – Z has excel document that can be shown

17. Case Management – Title III Grant (2012 – 2017)
Document contacts
Store lists
Cohorts uploaded
Calculation of ROI
Tracking of outcomes
Jessie
Jessie has a few contacts entered

18. Case Management – Title III Grant (Tracking Outcomes)
Jessie

19. Tracking Early Alerts
Jessie

20. Career Planning – Enrolled vs. Not Enrolled
Applicants who were undecided and whether they enrolled or not
+ if they received career planning
Jessie

21. Career Planning – Decided vs. Undecided on Application
FTIC, enrolled students who were either undecided or decided at application + if they received career planning
Jessie

22. Identify students who had stopped out for 1 or 2 semesters
At-Risk Students - SAP
Identify students who had stopped out for 1 or 2 semesters
Document contacts to those students
Track future enrollment
Jessie

23. Return on Investment (ROI) for Registered Students (Spring 2018)
At-Risk Students - SAP
Results:
Contacts attempted between October 2017 – February 2018 (fall term)
Next cohort will be “Not Here in Fall 2017”
Students “Not Here” in Last 2 or More Terms (Not Enrolled in Spring, Summer, or Fall 2017)
Contact Attempts
Interventions Provided
Spring 2018 Registrations
Anticipated Registrations
Last Term: Spring
153 37 2 21
Last Term: Summer 72 25 13 17
Totals
225 62 15 38
24% conversion rate
85% total conversion rate
(53 registrants from 62 interventions)
Jessie
Return on Investment (ROI) for Registered Students (Spring 2018)
Total Credit Hours
Tuition per Credit Hour
Revenue 95
$167.50
$15,912.50

24. At-Risk Students – Other Populations
Life scholars with M or U at mid-term (Fall 2017)
Academic Probation (AP) warning
SAP Warning
College Student Inventory (CSI)
Jessie
List (favorites) – Fall Life Scholars
Demonstrate
1. who returned spring; less than 3.0 GPA (Table filter Student);
2. Who returned spring with less than 15 attempted hours (table filter Student Term table)

25. Reports

26. Management Reports – Services provided
Carol

27. Contact Reports – How we spent our time (Student Success Center)
Jessie
25% Outreach – Intervention
14% Advising –Intial
12% Advising – Current
11% Academic Counseling
10% Early Alerts

28. Integrate Degree Works Data points
Next Steps At PTC
Integrate Degree Works Data points
Integrate Placement Tracking and Reporting
Complete the pilot using the Ruffalo-Noel Levitz CSI data to determine
Value of the “Overall Risk Indicator” and “Receptivity” scores
Value of the “Recommendations” Z
Two areas of “data silos”
DW % program courses complete; does an educational plan exists; is the student on track with their plan
Placement – graduates that have gotten a job and where; who we haven’t heard from, etc Employers who hire our graduates by program to match students who are nearing graduation to employers; “democrazation of data”

29. Predictive Analytics Who needs to see this information?
Next Steps Continued
Predictive Analytics
Decisions to Make
Who needs to see this information?
How will this information be used?

30. Zogotech Analytics
Michael

31. Zogotech Analytics (cont.)
Michael

32. Zogotech Analytics (Guided Questions)
Michael

34. Contact Information
Carol Paguntalan
Jessie Estep
Zeolean Kinard
Michael Taft
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