Teacher self-efficacy is most strongly associated with perceived enjoyment of GenAI tools¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q2 · i3 large
Currency · newest study 2026 · checked against its sources 2026-10-19 (automated, 2 of 2 entries) · not reviewed by a person

Subclaims¶

q2 i3 In a cross-sectional convenience sample, self-efficacy in solving technical problems and learning GenAI tools autonomously had a significant positive path to perceived enjoyment, the largest effect size in the model (f² = 1.839); the design shows an association, not a cause. → 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 of a cross-sectional, non-probability convenience sample of 434 teachers. The standardized path coefficient from self-efficacy to enjoyment was β = 0.805 (t-value = 22.672, p <.05); its effect size, f² = 1.839, is in the next entry. The model's paths are associations in cross-sectional data and cannot show that self-efficacy causes enjoyment.

"as well as in the perceptions of enjoyment (H10, β = 0.805, t-value = 22.672, p <.05)"

Guillén-Gámez 2026 (2)¶

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

Effect-size evaluation of the structural model in the 434-teacher PLS-SEM study, using thresholds of 0.35, 0.15 and 0.02 for large, medium and small effects. The SE–PE relationship had printed effect size f2 = 1.839, the largest in the model. The authors call the paths "causal relationships" in the language of SEM; the data are cross-sectional.

"it is observed that the largest effect sizes are found in the causal relationships between the SE and PE factors (f2 = 1.839), which indicates a substantially large impact"

Discussion¶

Learner Variables¶

• Interest — outcome: instruction changes it
• Self-Efficacy — predictor: learners who differ on it differ in outcomes
• Achievement Emotions — outcome: instruction changes it

Related Claims¶

• Teachers' expectancy beliefs about successfully using AI applications shape their motivation to use them (theoretical argument). — the general claim this finding bears on, with the studies behind it
• Teacher self-efficacy significantly predicts perceived usefulness and perceived ease of use of GenAI tools — 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