Applied AI for K12

Reproducible Claude Workflow for District Curriculum Adoption Processes

Curriculum adoption is already a heavy lift, and digging into considerable research hours to find, distill, and synthesize technical reports or combining multiple sources of evaluation to a cohesive summary adds another layer of work that many districts might not have time or staff capacity for. At the same time, district leaders and educators crave evidence-backed data to guide this important curricular decision.

So I built this tool as a way to make the process more accessible. It’s a reproducible workflow that uses Claude to search EdReports and Evidence for ESSA, synthesize the findings, and generate a report with critical questions to ask vendors—all in a few minutes instead of several hours. It replicates a manual workflow I used when supporting a local district with evidence-based curriculum evaluations.

Feel free to share with district leaders and educators. This is a beta project. If you try it out and have feedback, I’d welcome it.

Resources

• Curriculum Evaluator Web Tool - Powered By Claude
• README: How to Use The Math Curriculum Evaluation Tool
• Example Report: CA i-Ready Classroom Mathematics (PDF)

What It Does

1. Part 1: Searches EdReports to assess whether instructional materials meet High-Quality Instructional Materials (HQIM) indicators. https://edreports.org/
2. Part 2: Searches Evidence for ESSA to evaluate whether rigorous research demonstrates that a curriculum improves student outcomes. https://www.evidenceforessa.org/
3. Part 3: Synthethisez findings and generates vendor questions based on evidence gaps

Note: This is a beta AI tool. Always verify findings using the source URLs provided.