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This executive summary synthesizes the major findings from research done alongside Lindsay Unified School District (LUSD) to examine the context around COVID-19 closures and unfinished learning – and to analyze the progress LUSD learners were able...
This strategy memo, produced by TLA in partnership with Kent School District and the district's DARTS (Data, Assessment, Research, Technology and Strategy) team, explores how the district can address K-8 literacy in the face of COVID-19...
This protocol can be used to inform the design of a solution to help improve virtual and hybrid learning, as well as help users understand progress along the key elements of three distinct Pillars: Foundation for Equitable, Engaging, and Effective...
School and district leaders can use this template to share the results from a focus group analysis to a broader audience. This concise template includes sections for detailing stakeholder engagement, key takeaways, implications, and limitations of...
Disciplinary data can be used by stakeholders to understand how and to what extent disciplinary practices are occurring within their school or district and advocate for equitable practices for students.
This tool has been created to support teams when using The Learning Accelerator (TLA)'s Data Advocacy Guide. This workbook intends to foster productive dialogue within stakeholder groups to guide the collection and analysis of data to better...
This is the Executive summary for a report from The Learning Accelerator (TLA), “Deepening Our Understanding of High-Quality Virtual and Hybrid Learning: Initial Analysis of Six Diverse Models,” which explores six promising virtual and hybrid...
This report summarizes findings from a staff-wide survey on how educators within the charter network are using AI, what support they need, and how aligned they feel AI use is with instructional priorities. The results informed the network’s next...
This staff survey was designed to assess how educators across United Charter Schools are using, experiencing, and exploring generative AI. It surfaces insights about teacher needs, concerns, and professional development priorities to inform policy,...
This research brief synthesizes insights from state and district education leaders to understand how learning acceleration is currently defined and implemented across K–12 systems. It identifies five key areas of inquiry shaping the future of...
This recommendations document outlines coordinated actions for state education agencies, local education agencies, funders, and researchers to align their efforts in support of systemwide learning acceleration. Building on the From Urgent to Future...