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Five EdTech Quality Indicators

Product or Programme · All products and programmes
Evidence · 2 claims (1 for, 1 mixed) · 2 studies (1 associational, 1 theoretical), q1–q2 · 0 of 2 report an effect size · 2 claims rest on one study

Description

A framework developed by 1EdTech, CAST, CoSN, Digital Promise, InnovateEDU, ISTE+ASCD, and SETDA for evaluating AI-enabled edtech against safety, evidence, inclusion, usability, and interoperability criteria.

Components

  • Product certifications as a baseline filter for evidence-based edtech procurement: The presentation positions product certifications as a "Baseline requirement to consider edtech options" that districts can use to filter vendor pitches, inform contract renewals, and structure Requests for Proposals. It names three quality dimensions — Evidence-Based Edtech, Practitioner-Informed Design, and CAST's UDL — organized under "Five Quality Indicators." Certifications such as the ISTE Seal and EdSurge Product Index validations are cited as examples of market validators districts can request from applicants. (Van Nostrand et al. (2024))
  • Five EdTech Quality Indicators framework for evaluating edtech products: The EdTech Quality Collaborative published a five-indicator framework for evaluating effective edtech products. Safe means tools adhere to "industry standards, data minimization, and data transparency to protect user privacy and prevent data breaches." Evidence-Based means grounded in rigorous research aligned with ESSA Tiers of Evidence; Inclusive prioritizes accessibility and equitable design while mitigating algorithmic bias; Usable focuses on intuitive design that eliminates technical barriers; Interoperable uses open data standards to connect with existing district technologies. The guide applies the framework across every step of district procurement and data governance. (Digital Promise (2026))

Claims

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Key Sources

  • Ruiz, P., Peters Hinton, V., Prado, Y., Noakes, S., Liberman, B., Chillmon, C., Van Nostrand, P., Shell, A., Karim, S., Dallas, D., & Zachariah, I. (2025). Integrating AI-enabled edtech in PK16 education: Five recommendations for state and district leaders. Digital Promise. https://doi.org/10.51388/20.500.12265/273
  • Van Nostrand, P., Shell, A., & Noakes, S. (2024). Empowering Education Leaders in Edtech Procurement. Digital Promise. https://digitalpromise.dspacedirect.org/items/47852ca7-537f-4f37-84c2-47c4031ef337
  • Digital Promise. (2026). EdTech Quality Indicators Guide: Leveraging the Five EdTech Quality Indicators to save time and money, reduce risk, and improve student outcomes. https://digitalpromise.dspacedirect.org/items/f1e0fd08-9047-42e7-9a2d-190ccb4d10dd
Page metadata
Field Value
type product
id five-edtech-quality-indicators
title Five EdTech Quality Indicators
description A framework developed by 1EdTech, CAST, CoSN, Digital Promise, InnovateEDU, ISTE+ASCD, and SETDA for evaluating AI-enabled edtech against safety, evidence, inclusion, usability, and interoperability criteria.
status review
moved_from element/product-certifications-edtech-filter, theory/five-edtech-quality-indicators-framework
product_kind framework
generated by process:settle-candidates on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 2 — van-nostrand-2024, digital-promise-2026

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