Within the TeachAI Policy Workgroup, PACE has facilitated the development of AI policy informational briefs aimed at ensuring the effective, safe, and responsible integration of AI in education. These briefs offer guidance to education leaders and policymakers, emphasizing the importance of crafting policies that prioritize teaching and learning. The briefs provide insights derived from current research and landscape analysis of AI use in TK–12 educational settings, addressing common questions and centering around five guiding principles for developing responsible AI policies in education.

This report examines the early implementation of California's Statewide System of Support, which is designed to empower local educators in determining the best approaches to improvement. While COEs and district officials hold positive views of the system's emphasis on support over compliance, they have concerns about under-resourcing and the effectiveness of the Dashboard measurement tool. The report provides five recommendations to make the System of Support a more comprehensive system aligned with the Local Control Funding Formula.

CA is shifting the responsibility for school improvement to local school districts with County Offices of Education playing a supportive role. The focus is on local leaders driving educational improvement and ensuring quality. Strategic data use is central to the implementation of this policy, with questions remaining about what data is needed, by whom, and for what purpose. This paper provides a framework for how data use for improvement is different from data use for accountability and shares lessons from the CORE Data Collaborative on how to use data for improvement in networked structures.