Data Science Research Project
Student-Led Survey & Data Science Research Project
Overview: In this interdisciplinary project, students designed, deployed, and analyzed their own engagement survey to explore questions about school climate, identity, and student experience. The goal was to build fluency in data collection, statistical analysis, and computational thinking using real, personally relevant datasets.
Skills Developed:
- Survey design (bias, scale, and sampling considerations)
- Data cleaning and organization
- Visualization using spreadsheets and Pyret
- Interpretation and storytelling with data
Project Flow:
- Question Framing: Students selected focus areas (e.g. engagement, belonging, academic support)
- Survey Design: Created and critiqued questions collaboratively
- Data Collection: Anonymous survey via Google Forms or paper
- Cleaning & Structuring: Converted to usable format in Sheets
- Analysis & Visualization: Used formulas and Pyret to analyze trends
- Presentation: Created one-page infographics and short reflection essays
Tools Used:
- Google Forms & Sheets
- Pyret or Python (optional extension)
- Bootstrap’s Data Science modules (as support material)
Outcomes:
- Students gained agency in shaping inquiry and interpreting findings
- Several groups presented to peers and staff during advisory or parent night
- Some findings led to real discussion about school policy and engagement strategies
Note: A full student sample and rubric will be available here soon. Reach out if you’d like to preview drafts or see project guides.