Claims

CTML-guided educator review of AI video scripts yields statistically significant improvements across all 12 CTML principles and overall instructional validity

Claim · All claims
Evidence · 1 study · causal r1 · q3
Currency · no dated study recorded · 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.

q3 i? In a within-subject study with 23 educators, the review-based approach raised mean ratings from 3.07 to 3.86 on a 5-point scale (+0.79, p<.01), with statistically significant improvements across every principle. → educator-study-1

Evidence

educator-study-1

Yearim Kim, Injun Baek, and Nojun Kwak. 2026. When Saying No Makes Better Videos: Designing Dual Gatekeeping for Pedagogically Grounded AI Content Creation. In Proceedings of Understanding and Engaging Critical Resistance to AI in Education (CHI '26 Workshop). ACM, New York, NY, USA. https://arxiv.org/abs/2608.19812 doi:10.48550/arxiv.2608.19812

q3 · i? · causal · r1

Within-subject study with 23 educators across three topics of differing cognitive demand; participants rated 13 items covering all 12 CTML principles. The article reports "The mean rating rose from 3.07 to 3.86 on a 5-point scale (+0.79, 𝑝<. 01)" with Wilcoxon signed-rank tests; no standardized effect size is printed for the overall gain.

"The review-based approach yielded statistically significant improvements across every principle (𝑝<. 05, Wilcoxon signed-rank). The mean rating rose from 3.07 to 3.86 on a 5-point scale (+0.79, 𝑝<. 01)"

Discussion

Page metadata
Field Value
type claim
id ctml-review-improves-educator-ratings
title CTML-guided educator review of AI video scripts yields statistically significant improvements across all 12 CTML principles and overall instructional validity
description CTML-guided educator review of AI video scripts yields statistically significant improvements across all 12 CTML principles and overall instructional validity
status review
evidence_strength moderate
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — educator-study-1

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