Attitude, facilitating conditions, and social influence correlate most strongly with behavioral intention, while perceived ease of use correlates weakest¶

Claim · All claims
Evidence · 1 study · associational r1 · q2 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i3 Among the six constructs, AT (r = .699), FC (r = .702), and SI (r = .673) showed the strongest bivariate associations with BI, whereas PEOU showed the weakest (r = .398). → Pei-Hua Chen 2026

Evidence¶

Pei-Hua Chen 2026¶

Pei-Hua Chen, Hsin-Yu Lee, Yueh-Min Huang and Ting-Ting Wu. (2026). Unpacking the heterogeneity of pre-service teachers' ChatGPT acceptance: a latent profile analysis across STEM and non-STEM disciplines. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00634-x

q2 · i3 · associational · r1

Bivariate correlation matrix (Table 5) among the six constructs in the sample of 128 pre-service teachers. The article reports attitude, facilitating conditions, and social influence "showed the strongest associations with BI", with ease of use weakest at r = .398.

"Attitude (r = .699), facilitating conditions (r = .702), and social influence (r = .673) showed the strongest associations with BI, whereas perceived ease of use showed the weakest (r = .398)."

Discussion¶

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