Embed data-driven continuous improvement criteria into state EPP program approval¶
Strategy · All strategies
Evidence · no claims cited
Description¶
The brief recommends that states embed data-driven continuous improvement criteria into their program approval processes, under which "EPPs will be asked to demonstrate how they use information to inform ongoing improvements." These processes are described as consistent with Council for the Accreditation of Educator Preparation expectations, which accredits more than 800 providers across the nation. States can also share timely information with EPPs and use their convening power to identify, support, and share best practices for continuous improvement.
Design Implications¶
Context¶
Requirements¶
- EPPs must have access to timely, quality data about their graduates' classroom performance
- State program approval authority and alignment with CAEP expectations
Constraints¶
Target Learners¶
- EPP leaders and faculty
- state education agency staff
Target Learning Goals¶
- building EPP culture and capacity to use data for continuous program improvement
Claims¶
Related Strategies¶
- States conduct a statewide survey of new teachers with comparable questions across all programs
- Use TPA results and completer-survey data to target programmatic support and continuous improvement
Examples¶
-
Key Sources¶
- Data Quality Campaign. (2017). Using Data to Ensure That Teachers Are Learner Ready on Day One. https://eric.ed.gov/?id=ED586474
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
continuous-improvement-criteria-in-program-approval |
title |
Embed data-driven continuous improvement criteria into state EPP program approval |
description |
The brief recommends that states embed data-driven continuous improvement criteria into their program approval processes, under which "EPPs will be asked to demonstrate how they use information to inform ongoing impro... |
status |
review |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — data-quality-campaign-2017 |
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