AI-TPACK positively predicts science teaching self-efficacy among Chinese pre-service science teachers¶
Claim · All claims
Evidence · 1 study · associationalr2·q2·i3large
Currency · newest study 2026 · checked against its sources 2026-10-16 (automated, 1 of 1 entry) · 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 i3 AI-TPACK significantly and positively predicted science teaching self-efficacy (β = 0.454), with a medium f² effect size of 0.221. → Zou J 2026
Evidence¶
Zou J 2026¶
Zou J, Li N, Wang X and Du J (2026) From AI literacy to AI-integrated inquiry-based science teaching: the serial mediating roles of AI-TPACK and science teaching self-efficacy among Chinese pre-service science teachers. Front. Psychol. 17:1911909. https://doi.org/10.3389/fpsyg.2026.1911909
q2 · i3 · associational · r2
Same PLS-SEM survey study (n = 548); the structural path from AI-TPACK to science teaching self-efficacy was significant with "β = 0.454, 95% CI [0.374, 0.533]". The article reports f² = 0.221, a medium effect.
"AI-TPACK significantly predicted science teaching self-efficacy (β = 0.454, 95% CI [0.374, 0.533]), supporting H2"
Discussion¶
Learner Variables¶
- Motivation — outcome: instruction changes it
- Self-Efficacy — outcome: instruction changes it
Related Claims¶
- AI literacy positively predicts AI-TPACK among Chinese pre-service science teachers — related
- The serial mediation model explains 32.5–37.0% of variance in AI-TPACK, self-efficacy, and AI integration intention — related
- Focal paths are robust to background controls, which did not directly predict AI integration intention — related
- AI literacy relates to AI integration intention through a serial indirect pathway via AI-TPACK and science teaching self-efficacy — related
- Pre-service primary teachers' science teaching self-efficacy beliefs correlate weakly but positively with their ability to determine suitable taxonomy, strategy, and method-techniques — related
- SDT-driven activity system redesign in Cycle 2 produced significant pre-post gains in AI-TPACK (d = 0.70), IPACK (d = 0.86), and AI attitude (d = 0.58) — related
- AI-TPACK dimensions are significantly and positively associated with college teachers' professional identity and AI literacy — related
- Review reports that teachers' beliefs, attitudes and TPACK—not AI knowledge alone—mediate AI integration — related
- In a first-order support-dimension model, only informational support retained a significant path to AI learning self-efficacy — related
- ITS-based practice did not improve post-training self-efficacy relative to paper-based practice; baseline self-efficacy was the primary determinant — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-tpack-predicts-science-teaching-self-efficacy |
title |
AI-TPACK positively predicts science teaching self-efficacy among Chinese pre-service science teachers |
description |
AI-TPACK positively predicts science teaching self-efficacy among Chinese pre-service science teachers |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-16 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — zou-j-2026 |
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