From Data to Action
Case Study: From Data to Action — Student-Led Engagement Research
Overview:
This project invited students to investigate their own school experience through the lens of data. The result was a fully student-designed engagement survey, honest insights from peers, and real conversations with staff about how the school could better meet student needs.
Challenge:
How do you teach statistical thinking, inquiry, and data visualization in a way that feels real—not like a worksheet? And how do you let students critique school systems without it turning performative or punitive?
What We Did
- Facilitated student teams to design and deploy an engagement survey for 9th and 10th grade cohorts
- Focused on question design, bias reduction, and scaling choices to teach fundamentals of data literacy
- Supported data cleaning in Sheets and exploratory analysis in Pyret and Docs
- Students presented findings to peers and teachers in class-wide reflection sessions
What Worked
- Students were deeply motivated by the opportunity to study their own reality
- The project surfaced insights that hadn’t reached staff through traditional surveys
- Survey response quality showed unfiltered honesty, humor, and frustration—fuel for learning and change
- The authenticity of the dataset made students more invested in visualization and interpretation work
What We Learned
- Framing matters—when students are treated as researchers, they rise to the role
- Open-ended feedback created risk, but also trust and truth
- Data projects don’t need fancy tools—they need context, structure, and a real audience
“We’re always being told what school should be. This time, we got to ask what it is—and how it could be different.” — Student reflection
This case shows how data science can empower students not just to complete analysis, but to generate it—and use it to reflect on the systems they move through every day.