AI technological support is positively associated with innovative competence at all quantiles, with stronger associations at medium-to-high competence levels¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In quantile regression, the estimated association of AI technological support with innovative competence followed a rising wave-like pattern across the middle-to-upper quantiles. → 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 · r2

Quantile regression analysis (quantile points 0.01 to 0.90) on the 3003-teacher survey, reported in the results section. The article reports both supports were positively associated at all quantile levels but with differing magnitude and pattern; no effect size is printed.

"the estimated association of AI technological support with innovative competence generally followed a rising wave-like pattern across the middle-to-upper quantiles, with stronger estimated associations at medium-to-high levels of innovative competence."

Discussion¶

Related Claims¶

• School-based intelligent environment support shows an inverted U-shaped quantile pattern, stronger at lower-to-middle competence levels — related
• Innovative competence differs by background variables, with AI interest level showing the strongest association — related
• AI self-efficacy and self-regulated learning mediate the support–competence associations in opposite patterns for the two supports — related
• In the structural equation model, both supports directly predict innovative competence and strongly predict the mediators — related