Using Data Driven Strategies to Design and Develop your Story
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The document discusses strategies for using data-driven approaches to enhance student engagement in civic activities, emphasizing the importance of assessment in program planning. It outlines the types of data collected, such as attendance at events, student journals, and social media engagement, and highlights methods for analyzing this data to assess student learning and program effectiveness. Key recommendations include avoiding certain survey techniques, utilizing existing rubrics, and recognizing the long-term nature of data collection efforts.
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?
- 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