Behavioural intention to use GenAI tools significantly predicts in-service teachers' self-reported pedagogical digital competence for curriculum planning¶
Claim · All claims
Evidence · 1 study · associationalr2·q2·i3large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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q2 i3 Teachers' behavioural intention to integrate GenAI tools has a significant positive effect on their self-reported digital competence for planning GenAI use in curriculum design. → 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 · r2
PLS-SEM analysis of survey data from 434 in-service teachers in the Dominican Republic testing the extended TAM structural model. The path from behavioural intention to digital competence was significant (β = 0.479, f² = 0.298, a large effect by the article's 0.35 threshold, "close to the threshold considered large"), with DC reaching an R² of 0.230, "considered a weak level".
"Finally, the relationship between teachers' behavioural intentions to integrate these emerging tools into the educational process and their digital competencies was significant, thus corroborating hypothesis H12 (β = 0.479, t-value = 10.226, p <.05)."
Discussion¶
Related Claims¶
- Teachers' attitudes toward GenAI tools significantly predict their behavioural intention to integrate them — related
- 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
- Importance-performance mapping identifies behavioural intention as the strategic priority for raising teachers' GenAI digital competence — related
- Perceived usefulness and perceived ease of use of GenAI tools significantly predict teachers' attitudes and behavioural intention — 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
- Teacher self-efficacy significantly predicts perceived usefulness and perceived ease of use of GenAI tools — related
- A GenAI-integrated professional development program produced significant pre-to-post gains in EAP educators' ethical awareness (d = 0.93) and digital andragogical competence — related
- In the TAM structural model, satisfaction mediated sustained use: usability strongly predicted usefulness (β = 0.93), usefulness predicted satisfaction (β = 0.76), but usefulness did not directly predict use intention (β = 0.02, p = .896) — related
- Participation in the short INSIGHT training session is associated with a significant pre-post increase in teachers’ perceived ease of use of AI-based technologies — related
- Performance expectancy, social influence, novelty value, and creative competence positively predict art and design students' behavioral intention to use T2I GenAI tools — related
- All participants intended to continue integrating AI into teaching and to recommend the institute, and 70% had already begun implementing AI-enhanced tools or assignments — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
bi-predicts-genai-digital-competence |
title |
Behavioural intention to use GenAI tools significantly predicts in-service teachers' self-reported pedagogical digital competence for curriculum planning |
description |
Behavioural intention to use GenAI tools significantly predicts in-service teachers' self-reported pedagogical digital competence for curriculum planning |
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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