Teachers' attitudes toward GenAI tools significantly predict their behavioural intention to integrate them¶
Claim · All claims
Evidence · 1 study · associationalr1·q2·i3large
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¶
Related Claims¶
- Teachers who believe AI will help them reach professional goals and improve students' learning outcomes (utility value) may be more motivated to use it (theoretical argument). — the general claim this finding bears on, with the studies behind it
- Perceived enjoyment of GenAI tools is positively associated with in-service teachers' attitudes, perceived ease of use and behavioural intention in a Dominican Republic survey — related
- Perceived usefulness and perceived ease of use of GenAI tools significantly predict teachers' attitudes and behavioural intention — related
- Behavioural intention to use GenAI tools significantly predicts in-service teachers' self-reported pedagogical digital competence for curriculum planning — related
- Students rate their ethical awareness of AI higher than instructors, while instructors report stronger willingness to experiment with AI tools and higher behavioural intention — related
- Chatbot users held more positive attitudes and reported greater perceived knowledge gains than non-users — related
- Importance-performance mapping identifies behavioural intention as the strategic priority for raising teachers' GenAI digital competence — related
- Ghanaian pre-service science teachers show positive attitudes, perceived behavioural control, and behavioural intentions toward AI — related
- Performance expectancy, social influence, novelty value, and creative competence positively predict art and design students' behavioral intention to use T2I GenAI tools — related
- GenAI use is positively associated with attitude, subjective norm, perceived behavioral control, and behavioral intention toward GenAI-assisted learning — related
- Students express willingness to integrate GenAI in learning and future careers, and willingness correlates with knowledge and frequency of use — a narrower finding that bears on this claim
- AI knowledge and attitudes toward AI did not significantly predict teachers' AI integration ability — related
- Instructors' moral awareness and intention grow parallel with institutional and social support — related
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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