Claims

Practitioner Advisory Board members reported learning more about AI and related edtech through their engagement

Claim · All claims
Evidence · 1 study · design r2 · 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? In the post-participation survey, all six Board members agreed or strongly agreed they learned more about AI and its potential in education. → ai-learning-1

Evidence

ai-learning-1

Pautz Stephenson, S., Banks, R., & Coenraad, M. (2022, June). Outcomes of increased practitioner engagement in edtech development: How strong, sustainable research-practice-industry partnerships will build a better edtech future. Digital Promise. https://doi.org/10.51388/20.500.12265/158

q2 · i? · design · r2

Post-participation survey of the six Advisory Board members, self-reported learning. The article attributes the learning partly to interaction with learning sciences researchers and industry partners who have "complementary understandings". No effect size is printed.

"In the post-participation survey, all six Board members stated that they either strongly agreed or agreed that through their engagement, they learned more about AI and its potential in education."

Discussion

Page metadata
Field Value
type claim
id practitioners-learned-about-ai
title Practitioner Advisory Board members reported learning more about AI and related edtech through their engagement
description Practitioner Advisory Board members reported learning more about AI and related edtech through their engagement
status review
evidence_strength weak
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — ai-learning-1

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