Claims

AVDS tool use was a significant positive predictor of performance test scores in multiple linear regression

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2024 · 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? A significant regression equation was found (F(4,73) = 13.728, p < .001), with an adjusted R² of 0.398; group with AVDS was the strongest predictor (β = 32.428, p < .001). → Kogan 2024

Evidence

Kogan 2024

Kogan, G., Chassidim, H., & Rabaev, I. (2024). The efficacy of animation and visualization in teaching data structures: a case study. Education Tech Research Dev. https://doi.org/10.1007/s11423-024-10382-w

q2 · i? · causal · r2

Multiple linear regression predicting performance test scores from PU1, ATU3, PEOU3, and group assignment; the article reports "the test performance was higher for the experimental group (β = 32.428, SE = 4.9)."

"A significant regression equation was found (F(4.73) = 13.728, p <.001), with an adjusted R2 of 0.398."

Discussion

Page metadata
Field Value
type claim
id avds-use-predicts-higher-test-performance-regression
title AVDS tool use was a significant positive predictor of performance test scores in multiple linear regression
description AVDS tool use was a significant positive predictor of performance test scores in multiple linear regression
status review
evidence_strength moderate
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — kogan-2024

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