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.

Declining student enrollment is leading to a loss of revenue in many California school districts. To address ongoing budget shortfalls, many districts have consolidated or shuttered schools,and others are contemplating doing so. A new report and working paper, summarized in this brief, explore the racial dimensions of school closures and how to address them.

California does not use a student-level growth model to measure school performance, which is uncommon among states. This brief refutes common beliefs about growth models and provides evidence that they are inaccurate or unsupported. It suggests that California should adopt a growth model to replace the current "change" metric in the California School Dashboard, with student-growth percentiles and residual-gain growth models as two specific models that would more accurately identify schools that require support.