The Eliot Innovation School’s SY24-25 Mid-Year Data Analysis Slide Deck
This internal slide deck outlines Eliot’s process for mid-year data analysis, from identifying schoolwide trends to targeting subgroup needs. It reflects how the school uses structured data reviews to inform instructional shifts—such as customizing small group lessons using AI tools—and maintain a strong continuous improvement cycle tied to real student outcomes.
Type: pdf
PDF Document: https://practices-assets.learningaccelerator.org/artifacts/pdf_files/SY24-25-Middle-of-the-Year-Data-Analysis.pdf
Topics:
Research & Measurement, Continuous Improvement, Designing for Equity
Sub-topics:
Measurement, Program Capture, Program Codification, Analysis & Reflection, Artificial Intelligence (A.I.)