2017 SLI Strategy Session Student Led Campus Wide Engagement Part 1: Using Data Driven Strategies to Design and Develop your Story

1. Campus Wide Student Engagement
Part 1: Using Data-Driven Strategies
to Design & Develop Your Story

2. I am Matt W. Cummings
Purpose Builder, Civic Leader, Digital Enthusiast
@mattwcummings
Hello!

3. I am Sam Ha
Bonner Enthusiast,
Meaning-Maker,
Education Advocate

4. Brainstorm Time!
◉ What is the data that you collect (in your Civic Engagement Office)
now and what are you doing with it?
◉ What data would you like to know about your program?

5. Why Data?
We’re gonna move fast... 1

6. “Too often, assessment is seen as an
afterthought rather than an integral
part of the program or service
planning and implementation
process. -Gavin Henning

7. Where is #SApro field going...
◉ Trending towards a culture of assessment
◉ $$$ are we worth it
◉ Cash gained through students retained

8. DePauw Data Story
◉ How many folks here think that your VPs/Presidents care
about Civic Engagement?

9. Data we collect
Civic Engagement 2

10. Data Moments in the Civic Space
Large Scale Events
◉ Students Sign in
◉ FWS uploads to
spreadsheet land
◉ Spreadsheet land is
joined with
institutional data
Qualitative
◉ Mid Year Student
Journals
◉ 1x1s with student
leaders connected to
SLOs
◉ Monthly Group
Meetings
Misc
◉ Social Media
Analytics
◉ Email Opens
◉ Advising
Appointments

11. Our Approach
◉ Design quality SLOs.
◉ (Its ok to cheat and use the AACU Value Rubrics)
◉ Ask “how will students demonstrate learning?”
◉ Blogs, Journals, Group Meetings, 1x1s, Conversation, Art, etc..
◉ Discover your results
◉ Thematic Analysis, Descriptive Statistics

12. Thematic Analysis and Qualitative Approaches
◉ Utilize existing rubrics to assess student writing (AACU Rubics)
◉ Thematic Analysis:
◉ Read through responses
◉ Notice themes
◉ Identify themes with “code words”
◉ Example: Most students discuss an ethos of service becoming
important to them through a faith community or honors
society.

13. Assessment vs Evaluation
Assessment:
Demonstrates student
learning, more
qualitative focus.
Evaluation: Combines
assessment with overall
effectiveness of the
program. Heavier
descriptive statistics.

14. Brainstorm Time
◉ What are the questions you would like to see answered with data?
◉ What positive role can data play to boost campus-wide
engagement?

15. Descriptive Statistics
Quantify Everything 3

16. Info we collect
◉ All volunteer information
◉ Sign-in sheets at sites
◉ Analysis:
◉ Race, Gender, Major
◉ Frequencies of visits
◉ Who volunteers the most
◉ First Year Students- who joins greek organizations

17. Digital Data
◉ Measure Facebook Growth
◉ Impressions/Reach
◉ ROI for Marketing/Paid Ads
◉ Who opens our emails and frequencies (using Mailchimp)

18. What do we do with our data?
◉ EOY Reporting
◉ Program Evaluation/Assessment
◉ Grants. Fundraising. Outside $$$.
◉ Presidential Honor Roll, NASPA Lead Certification
◉ DePauw Website, Admissions Flyer, Marketing Materials, DePauw
Magazine.

19. Tips
◉ Avoid Likert Scales
◉ Avoid pre/post test
◉ Data Building is a multi-year phase.
◉ Learn Excel
◉ Ask people for help