Thoughtless use of generative AI significantly and negatively predicts both self-efficacy and motivation¶

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

Subclaims¶

q2 i? TUGA negatively predicts MOV (β = −0.54) and SE (β = −0.37), both p < .001. → Hui Zhao & Huijuan Gu 2026

Evidence¶

Hui Zhao & Huijuan Gu 2026¶

Hui Zhao & Huijuan Gu. (2026). Thoughtless use of generative artificial intelligence and college students’ self-directed learning: a multi-group SEM analysis of gender differences. Scientific Reports. https://doi.org/10.1038/s41598-026-54337-y

q2 · i? · associational · r1

Bootstrapped path coefficients from the PLS-SEM structural model (Table 6). Both TUGA→MOV and TUGA→SE were significant and negative, supporting H2 and H5; the printed β values are "β = − 0.54" and "β = −0.37".

"In addition, the TUGA significantly and negatively predicted MOV (β = − 0.54, t = 8.53, p < .001) and SE (β = −0.37, t = 4.75, p < .001), providing support for Hypotheses H2 and H5."

Discussion¶

Related Claims¶

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