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We find ourselves at a time when the need for transformation in science education is aligning with opportunity. Significant science education resources, namely the Next Generation Science Standards (NGSS) and the Ambitious Science Teaching (AST) framework, need an intentional aim of centering social justice for minoritized communities and youth as well as practices to enact it. While NGSS and AST provide concrete guidelines to support deep learning, revisions are needed to explicitly promote social justice.

This chapter describes an ongoing research-practice partnership with in-service teachers in communities across Oregon focused on broadening participation in science, technology, engineering, and mathematics (STEM) fields. Broadening participation is essential for creating more justice-centered STEM in our society and cannot occur without families and communities working in partnership with educators to ensure that community resources, needs, and multi-generational perspectives are centered in this work.

Framework to organize foothold practices for centering justice in science education.

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

We examined secondary (6-12) mathematics teachers’ participation in a professional development (PD) model where they collectively investigated video cases of students engaging with ambitious instructional materials. We leveraged frame analysis, frame processes, and the Teaching for Robust Understanding framework to characterize the learning of professional learning communities. We found that teacher learning was supported within collegial environments where teachers respectfully challenged or transformed ideas on how to solve problems of practice.

In this report section, we discuss the importance of aligning classroom assessments with learning goals and instructional practices to both shape and evaluate students’ learning opportunities. We describe a plausible solution for improving alignment by integrating theories of learning in the design of classroom assessments. We discuss ways in which the specification of theories of learning as learning progressions can improve alignment between classroom assessments and instruction by focusing on the content, task design, and data generated from classroom assessments.