Among Chinese higher vocational students, GenAI usage habits and usage contexts are positively associated with perceived learning outcomes while usage frequency is negatively associated, controlling for gender and grade¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? GenAI usage frequency shows a negative regression coefficient with perceived learning outcomes when habits, contexts, gender and grade are controlled. → Song Yafeng 2026 q2 i? GenAI usage habits show a positive regression coefficient with perceived learning outcomes. → Song Yafeng 2026 q2 i? GenAI usage contexts show a positive regression coefficient with perceived learning outcomes. → 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

Multiple linear regression on 1110 valid questionnaires from Chinese higher vocational students, with gender and grade as controls. The printed equation gives a negative coefficient for usage frequency (−0.122X1) and positive coefficients for usage habits (0.258X2) and usage contexts (0.196X3); per the article's variable definitions, X1 is frequency, X2 habits, X3 contexts.

"Substituting the data in Table 6 yields the regression equation for the relationship between higher vocational students’ GenAI usage behavior and their perceived learning outcomes. Y = 2.72 − 0.122X1 + 0.258X2 + 0.196X3 − 0.059Z1 − 0.028Z2 − 0.023Z3"

Song Yafeng 2026 (2)¶

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

Overall model test for the same regression of perceived learning outcomes on the three GenAI usage dimensions with demographic controls; the article reports "F = 51.347, p < 0.001" as confirming overall validity.

"The F-test (F = 51.347, p < 0.001) confirms the overall validity of the regression model."

Discussion¶

Related Claims¶

• GenAI usage behavior dimensions correlate positively with perceived learning outcomes (r = 0.106–0.418), with usage habits showing the strongest correlation — related
• Structural paths did not differ significantly across AI usage-frequency groups, though exploratory coefficients varied numerically — related
• Chinese higher vocational students report medium-high GenAI usage (M = 3.75) with usage habits highest, and above-average perceived learning outcomes (M = 4.01) with competency development ranked highest — related
• Practice frequency, not cumulative usage time, was strongly associated with posttest presentation performance after controlling for baseline and demographics — reports the opposite