In the structural equation model, both supports directly predict innovative competence and strongly predict the mediators¶

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

Subclaims¶

q2 i? AI technological support had standardized path coefficients of 0.128 to innovative competence, 0.609 to AI self-efficacy, and 0.423 to self-regulated learning; school-based intelligent environment support had coefficients of 0.251, 0.176, and 0.338 respectively. → Liu Xu 2026

Evidence¶

Liu Xu 2026¶

Liu Xu, Zhang Meiqi, Du Jiaoyang. (2026). Pre-Service Teachers' Perceptions of AI Technological Support and School-Based Intelligent Environment Support: Model-Based Indirect Associations with Innovative Competence via AI Self-Efficacy and Self-Regulated Learning. Behavioral Sciences. https://doi.org/10.3390/bs16081378

q2 · i? · associational · r?

Structural equation model (maximum likelihood estimation) on the 3003-teacher survey; model fit indices (χ2/df = 9.624; RMSEA = 0.054; CFI = 0.953) met the article's fit criteria. Standardized path coefficients are reported as printed; no standardized effect size in the d/r sense is printed.

"AI technological support had standardized path coefficients of 0.128, 0.609, and 0.423 for pre-service teachers' innovative competence, AI self-efficacy, and self-regulated learning, respectively."

Discussion¶

Related Claims¶

• AI self-efficacy and self-regulated learning mediate the support–competence associations in opposite patterns for the two supports — related
• School-based intelligent environment support shows an inverted U-shaped quantile pattern, stronger at lower-to-middle competence levels — related
• Pre-service teachers' innovative competence is at a medium-to-high level, with innovation practice the lowest subdimension — related
• Perceived AIGC affordance enhances AIGC self-efficacy and directly predicts self-regulated learning in IEI undergraduates — related
• A two-level structural equation model links approaches to teaching and approaches to studying to biology achievement in high school
• AI technological support is positively associated with innovative competence at all quantiles, with stronger associations at medium-to-high competence levels — related