Claims

Certified edtech developers report that learning sciences research helps them name and evaluate their product's expected impact on learning

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Among surveyed developers of certified products, 73% strongly agreed and 27% agreed that grounding in learning sciences research lets them more clearly name their expected impact on learning, and 57% strongly agreed and 43% agreed it makes evaluating impact easier. → survey-1

Evidence

survey-1

Van Nostrand, P., Noakes, S., Shah, Z., & Luke Luna C. (2022, February). An overlooked indicator of edtech quality: The use of learning sciences research. Digital Promise. https://doi.org/10.51388/20.500.12265/150

q2 · i? · associational · r1

Survey conducted in December 2021 with over 25 edtech products holding the Research-Based Design Product Certification. Percentages are self-reported agreement levels; the report prints no effect sizes.

"all respondents strongly agreed (73%) or agreed (27%) that due to their foundation in learning sciences research, they are more clearly able to name their product's expected impact on learning and strongly agreed (57%) or agreed (43%) that they are able to more easily evaluate their product's impact"

Discussion

Page metadata
Field Value
type claim
id edtech-developers-report-research-clarifies-impact
title Certified edtech developers report that learning sciences research helps them name and evaluate their product's expected impact on learning
description Certified edtech developers report that learning sciences research helps them name and evaluate their product's expected impact on learning
status review
evidence_strength moderate
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — survey-1

Frontmatter is the page's machine-readable record — see the Schema & Guide.