Claims

Teachers' attitudes toward GenAI tools significantly predict their behavioural intention to integrate them

Claim · All claims
Evidence · 1 study · associational r1 · q2 · i3 large
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.

q2 i3 Attitude of use has a significant positive effect on behavioural intention to integrate GenAI tools, with a large effect size. → Guillén-Gámez 2026

Evidence

Guillén-Gámez 2026

Guillén-Gámez, F. D., Tomczyk, Ł., Habibi, A., & Díaz Vargas, B. L. (2026). Transforming curriculum design with generative AI: a model for assessing teacher digital competence. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10647-6

q2 · i3 · associational · r1

PLS-SEM path analysis in the 434-teacher sample. The AOU→BI path was significant with printed path coefficient β = 0.541 and f² = 0.351, which the article classifies at the large-effect threshold, reinforcing the TAM postulate that attitude drives intentional behaviour.

"The results obtained from the PLS-SEM analysis confirmed a significant relationship between both factors (β = 0.541, t = 7.611, p <.05), thus supporting hypothesis H11."

Discussion

Page metadata
Field Value
type claim
id attitude-predicts-intention-genai
title Teachers' attitudes toward GenAI tools significantly predict their behavioural intention to integrate them
description Teachers' attitudes toward GenAI tools significantly predict their behavioural intention to integrate them
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — guillén-gámez-2026

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