Performance expectancy, social influence, novelty value, and creative competence positively predict art and design students' behavioral intention to use T2I GenAI tools¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? In a SEM of 400 art and design students, performance expectancy, social influence, novelty value, and creative competence each positively predicted behavioral intention to use T2I GenAI tools. → Liu Y 2026

Evidence¶

Liu Y 2026¶

Liu Y, Meng M and Zhang Y (2026) The competence paradox: negotiating ease, risk, and creative identity in text-to-image generative AI use among art and design students. Front. Psychol. 17:1858187. https://doi.org/10.3389/fpsyg.2026.1858187

q3 · i? · associational · r2

Structural model (latent-variable SEM) of survey responses from 400 students with prior/current T2I experience, estimated by maximum likelihood. The direct-effects table shows PE→BI β = 0.292, p = 0.014; SI→BI β = 0.265, p = 0.012; NV→BI β = 0.279, p = 0.024; CC→BI β = 0.526, p = 0.044, so that "PE, SI, NV, and CC positively predicted BI".

"PE, SI, NV, and CC positively predicted BI, supporting H1, H3, H6, and H8b."

Discussion¶

Related Claims¶

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