Crowdsource Science: Building a National Infrastructure to Understand Instruction for Students with Learning Disabilities
In 2022, the Special Education Research Accelerator received funding from the National Science Foundation’s EDU Core Research (ECR) program to launch Crowdsource Science, a nationally representative study investigating science instruction for fourth and fifth graders with learning disabilities. By combining surveys, audio recordings, classroom observations, instructional materials, and student work samples, the project is creating the largest known dataset on science instruction for elementary students with learning disabilities. This growing research infrastructure will enable researchers to better understand how instructional practices relate to student engagement and achievement while supporting new lines of inquiry across the field.
Now, after three years of data collection (2023–2026), Crowdsource Science has grown into a truly national effort. Working alongside our network of research partners, we have collected data from 56 teachers across 36 schools in 16 states, resulting in 676 classroom audio recordings and transcripts, 224 direct observations, 285 instructional materials, and 869 student work samples. This comprehensive dataset represents diverse classrooms, regions, and student populations, providing unprecedented opportunities to examine elementary science instruction at scale. The project remains committed to open science and data sharing, ensuring these data can support future research long after the initial study is complete.
As we move from data collection to data use, we are beginning to uncover important patterns in science instruction. For example, students receive an average of 175 minutes of science instruction each week, although instructional time varies considerably across classrooms. We also find that many students with learning disabilities are frequently pulled from science for remedial services, and that planned science instruction is not always enacted, particularly in lower-SES schools. Looking ahead, this dataset will support secondary analyses, AI-assisted observation tools, and research that informs practice, policy, and professional learning.
For more details, visit the ECR Hub project page.
The above infographic was presented at the 2026 ECR PI Meeting in Arlington, Virginia.










