Branching Out: Using Decision Trees to Inform Education Decisions
Classification and Regression Tree (CART) analysis can inform educators’ decisions about the allocation of extra supports for students.
Wyoming Shared Services Model Recommendations Report
This report provides a summary of key learnings before outlining six overall recommendations for consideration by WDE to improve the efficiency of the current shared services model in Wyoming.
Recommendations to Improve Efficiency of Shared Services in Wyoming
This executive summary gives six overall recommendations to improve the fiscal and operational efficiency of Wyoming’s current BOCES/BOCHES system structure.
Strategies for Using American Rescue Plan Funding to Address the Impact of Lost Instructional Time
This document focuses on strategies to support state and local efforts to address the impact of lost instructional time on underserved and disproportionately impacted students.
Teachers in Action (TFA): Making Equity-Focused Choices in Data & Research Microcourse
This microcourse lays the foundation for those who lead data, improvement, and strategy work to take research and learning from a vision to a culture of learning in action.
Variations in District Strategies for Remote Learning During the COVID-19 Pandemic
This study uses document analysis to examine proposed strategies related to infrastructure; strategies and supports for instruction; and supports for teachers, students, and parents.
A Survey and Assessment of Culturally Based Education Programs for Native American Students in the United States
A review of the programs in the survey indicated that there were five types of culturally based education programs and four types of programs that were not culturally based.
ED COVID-19 HANDBOOK: Roadmap to Reopening Safely and Meeting All Students’ Needs
This Roadmap offers approaches to states, districts, schools, and teachers as they reopen schools safely to meet the needs of students, educators, and staff.
Scaling-up Brief: Readiness for Change
This brief defines the variables a state or district leadership team might consider as they determine if they are “ready” to invest in the scaling‐up of an innovation in education.