Collaborative Research: From Pathways to Progressions: Empowering Districts to Equip K-12 Computational Thinkers with Data Science and Machine Learning Foundations

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $889,630 · view on nsf.gov ↗

Abstract

Data science is a vital link in bridging computational thinking with artificial intelligence and machine learning. Therefore, it is essential that all students have an entry level comprehension of data science for their future careers and civic life. This CSforAll Pathways project is a research-practice partnership between Digital Promise, in collaboration with Looking Glass Ventures, Data Science 4 Everyone, and four school districts across four different states: Broward County (FL), Indian Prairie (IL), Iowa City (IA), and Talladega County (AL) that aims to support school districts in developing practical and scalable pathways for teaching data science from early elementary through high school. The project helps districts design and implement instructional progressions that integrate data science with computational thinking and core academic subjects. Key to the work is adapting each district’s specific existing computational pathways and considering specific context needs, while also holding to a common trajectory and key data science concepts. The project contributes to new knowledge about how districts can design and scale data science pathways. Grounded in a research practice partnership model, the project examines how district leaders adapt and extend existing computational thinking pathways to incorporate data science and machine learning. The research focuses on understanding the conditions that support integration, including district-level planning structures, in

Key facts

NSF award ID
2524353
Awardee
Digital Promise Global (DC)
SAM.gov UEI
CDX6SVVKJ1Q1
PI
Quinn Burke
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
Computer Science for All (CS for All)
Estimated total
$889,630
Funds obligated
$889,630
Transaction type
Standard Grant
Period
10/01/2025 → 09/30/2029