Predictors of positive GenAI beliefs explain only 6–7% of variance in plagiarism and creativity concerns, indicating a two-track belief structure¶

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? The predictors explaining 50% of positive-belief variance collectively explained only 6–7% of variance in plagiarism and creativity concerns. → Xiu RL 2026

Evidence¶

Xiu RL 2026¶

Xiu RL, Aguilar SJ, Macías AJ, Shikanova A, Al-Sulaiti R, Junjunia M and Jebril ST (2026) K-12 in-service teachers’ beliefs about generative AI in classrooms: insights from the United States, India, Qatar, Colombia, and the Philippines. Front. Educ. 11:1929017. https://doi.org/10.3389/feduc.2026.1929017

q3 · i? · associational · r2

Comparison across the study's three regression models (Models 2 and 3, N = 1,162 and 1,183). Model 2 explained R² = .07 for plagiarism concern and Model 3 R² = .06 for creativity concern, both p < .001, with readiness and support non-significant in the concern models.

"The predictors that explained 50% of the variance in positive beliefs collectively explained only 6%–7% of the variance in plagiarism and creativity concerns. AI Readiness, Institutional Support, and Behavioral Use, the three pillars of the SDT account, were largely absent from the concern models."

Discussion¶

Related Claims¶

• Higher AI readiness is associated with greater, not lower, concern about GenAI reducing student creativity — related
• AI readiness is the strongest predictor of K-12 teachers' positive beliefs about GenAI's instructional impact, with the model explaining 50% of variance — related
• Country context differentially predicts GenAI concerns: Qatari teachers report higher plagiarism concern and Indian teachers lower creativity concern than U.S. teachers — related