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¶

Claim · All claims
Evidence · 1 study · associational r1 · q2 · i3 large
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i3 Perceived enjoyment significantly predicts attitude of use, perceived ease of use, and behavioural intention to use GenAI tools. → 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 bootstrapped path analysis of a cross-sectional convenience-sample survey of 434 in-service teachers in the Dominican Republic, testing H5–H7; the paths are associations, not causal effects, and the authors caution that the findings do not generalise beyond the studied population. All three enjoyment paths were significant, with printed path coefficients β = 0.530 (PE→AOU), β = 0.188 (PE→BI) and β = 0.323 (PE→PEOU); f² values ranged from 0.034 to 0.282.

"The results showed a significant relationship, both with the AOU factor (β = 0.530, t value = 6.377, p <.05), with the BI factor (β = 0.188, t value = 2.539, p <.05), and with the PEOU factor (β = 0.323, t value = 4.499, p <.05), which led to the acceptance of the three hypotheses."

Discussion¶

Learner Variables¶

• Interest — predictor: learners who differ on it differ in outcomes
• Achievement Emotions — predictor: learners who differ on it differ in outcomes

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