Claims

Only the model-based support group showed a significant within-group improvement in teaching self-efficacy from pre- to post-test

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · 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? Within-group pre-to-post gains in teaching self-efficacy were significant only for the model-based support group, not for the virtual-student-only or control groups. → Chih-Pu Dai · Fengfeng Ke 2026

Evidence

Chih-Pu Dai · Fengfeng Ke 2026

Chih-Pu Dai · Fengfeng Ke. (2026). Model-based support for teaching practice and self-efficacy in artificial intelligence-enhanced virtual reality teaching simulation. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10592-4

q3 · i? · causal · r2

A paired-sample t-test analysis found that "only the model-based support group (n = 19) showed a significant improvement" in teaching self-efficacy from pre- to post-intervention.

"Among the study groups, only the model-based support group (n = 19) showed a significant improvement (t (18) = − 3.03, p =.007) from pre-intervention (M = 4.27, SD =.63) to post-intervention (M = 4.58, SD =.43)."

Discussion

Page metadata
Field Value
type claim
id model-based-support-within-group-self-efficacy-gain
title Only the model-based support group showed a significant within-group improvement in teaching self-efficacy from pre- to post-test
description Only the model-based support group showed a significant within-group improvement in teaching self-efficacy from pre- to post-test
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — chih-pu-dai-fengfeng-ke-2026

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