Teaching self-efficacy, professional identity, and AI literacy are each significantly associated with AI teaching innovation behavior, with additional links among the mediators¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (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 i? TSE, PI, and AIL were each significantly associated with AI-TIB; PI and AIL were also associated with TSE, and AIL was associated with PI (H2–H4, H6, H9, H12 supported). → Bai X and Hsieh T-S 2026
Evidence¶
Bai X and Hsieh T-S 2026¶
Bai X and Hsieh T-S (2026) AI teaching innovation behavior among college teachers: a structural equation modeling analysis based on the AI-TPACK framework, teaching self-efficacy, professional identity, and AI literacy. Front. Psychol. 17:1834827. https://doi.org/10.3389/fpsyg.2026.1834827
q2 · i? · associational · r2
PLS-SEM path analysis among the 898 teachers tested the direct paths among the three mediators and AI-TIB. The article reports "TSE, PI, and AIL were significantly associated with teachers' AI-TIB" and that H2–H4, H6, H9, and H12 were supported.
"Additionally, TSE, PI, and AIL were significantly associated with teachers' AI-TIB; PI and AIL were also associated with TSE, and AIL was associated with PI. Therefore, H2–H4, H6, H9, and H12 were supported."
Discussion¶
Related Claims¶
- Among AI-TPACK dimensions, all except AI technological knowledge and integrative AI-TPACK are significantly and positively associated with college teachers' AI teaching innovation behavior — related
- AI-TPACK dimensions are significantly and positively associated with college teachers' professional identity and AI literacy — related
- Professional identity and AI literacy partially mediate AI-TPACK associations with innovation behavior, while AI-TK and AI-TPACK show indirect-only mediation and TSE mediation is only partially supported — related
- The model explains 62.50% of variance in AI teaching innovation behavior, with moderate predictive relevance and good fit — related
- The relationship between professional identity and innovative behavior is stronger among teachers with lower reported frequencies of GenAI tool use — related
- In SEM, all three self-efficacy dimensions are positively associated with AI use, with Excellence strongest (β = .47), followed by Communication (β = .31) and Attention (β = .22); the model explains 43% of variance — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
mediators-associated-with-ai-teaching-innovation-behavior |
title |
Teaching self-efficacy, professional identity, and AI literacy are each significantly associated with AI teaching innovation behavior, with additional links among the mediators |
description |
Teaching self-efficacy, professional identity, and AI literacy are each significantly associated with AI teaching innovation behavior, with additional links among the mediators |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — bai-x-and-hsieh-t-s-2026 |
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