The Lawrence Hall of Science at UC Berkeley and the American Institutes for Research propose a transformative 4-year study to build teacher capacity for integrating Computational Thinking (CT) into Grades 6–8 science classrooms. This initiative will advance current priorities of the NSF ITEST and DRK-12 programs by addressing the critical gap in computational practices within science curricula through the creation and implementation of a scalable professional learning model for middle school science teachers. The project will support teacher professional vision and adaptive expertise for CT-infused instruction through instructional coaching, professional development workshops, and an online professional learning community. These efforts aim to empower teachers to design, enact, and adapt CT-integrated lessons that foster students’ positive attitudes toward science and enhance their knowledge of science and CT. The project will directly serve over 1,000 students and create a teacher professional learning model that is positioned for scale to serve teachers and students across the country. The project builds on prior research and frameworks developed by the project team, ensuring the integration of evidence-based strategies and a content focus on authentic computational and scientific practices. In collaboration with multiple school districts, this study will pilot, refine, and implement the professional learning model, leveraging mixed-methods research to evaluate its impac