Summary
This brief examines California districts’ responses to generative AI, finding that individual use often outpaces coordinated policy and support. Drawing on district interviews and a Lead by Learning example, it recommends sustained, collaborative professional learning to help educators assess AI’s risks and classroom impact, inform district guidance, and align AI use with instructional and equity goals.
Summary
Many districts struggle to scale lasting instructional improvement; their systems—structures and processes—are key to successfully scaling improvement initiatives. Drawing on data from districts’ work with California Education Partners, this brief contrasts effective district system engagement with common pitfalls: delegating leadership, relying on informal networks, and maintaining too many priorities. District leaders play a pivotal role as only they have the authority to repurpose existing system resources, create new structures, and monitor systemwide progress.