Claims

Pseudo-interactive videos also outperformed non-interactive videos by 0.16 standard deviations on science learning

Claim · All claims
Evidence · 1 study · causal r3 · q3 · i1 small
Currency · newest study 2023 · 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 i1 Children in the pseudo-interactive condition performed better than those in the non-interactive condition by 0.16 standard deviations (p = .04), indicating that even question-asking without contingency aids learning. → Ying Xu 2023

Evidence

Ying Xu 2023

Ying Xu, Kunlei He, Julian Levine, Daniel Ritchie, Zexuan Pan, Andres Bustamante, and Mark Warschauer. (2023). Artificial Intelligence Enhances Children's Science Learning from Television Shows. https://osf.io/j7upd

q3 · i1 · causal · r3

Reference-group change in the same RCT regression. Printed standardized effect size: 0.16 standard deviations — "children in the pseudo-interactive condition also performed better than those in the non-interactive condition by 0.16 standard deviations (p = .04)". Descriptive accuracy 59.71% pseudo vs 55.69% non-interactive.

"when changing the regression reference group, we found that children in the pseudo-interactive condition also performed better than those in the non-interactive condition by 0.16 standard deviations (p = .04)"

Discussion

Page metadata
Field Value
type claim
id pseudo-interactive-beats-non-interactive
title Pseudo-interactive videos also outperformed non-interactive videos by 0.16 standard deviations on science learning
description Pseudo-interactive videos also outperformed non-interactive videos by 0.16 standard deviations on science learning
status review
evidence_strength moderate
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-24
trust unverified — no one has confirmed this page's content
sources 1 — ying-xu-2023

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