All dimensions of perceived learning outcomes differ significantly across major categories, with Education, Food/Pharmaceuticals and Transportation students scoring higher than Civil Engineering, Biology/Chemical and Electronics students¶

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? ANOVA showed significant differences in sub-dimensions and overall perceived learning outcomes across major categories (p < 0.001), with Education & Physical Education, Food, Pharmaceuticals & Grains, and Transportation higher, and Civil Engineering & Architecture, Biology & Chemical Engineering, and Electronics & Information Technology lower. → Song Yafeng 2026

Evidence¶

Song Yafeng 2026¶

Song Yafeng, Zhao Kangjian, Li Li, Dong Wei. (2026). Research on the Impact of Generative Artificial Intelligence Usage Behavior on the Learning Outcomes of Higher Vocational Students. Behavioral Sciences. https://doi.org/10.3390/bs16071166

q2 · i? · associational · r2

One-way ANOVA across major categories in the 1110-response survey, drawn from 18 of 19 major groups. The article reports "p < 0.001" and names the higher- and lower-scoring category groups; no effect size is printed.

"The result was p < 0.001, indicating significant differences in both sub-dimensions and overall perceived learning outcomes across major categories."

Discussion¶

Related Claims¶

• Perceived learning outcomes differ across grades only in the skill application dimension, with first-year students scoring significantly higher than second-year students — related
• No statistically significant gender differences in perceived learning outcomes across any dimension among higher vocational students — related