TPB constructs indirectly link GenAI use to lower GenAI-assisted learning procrastination, accounting for about 30.9% of the total association¶

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? The indirect associations from GenAI use to procrastination through attitude, norm, control, and intention were significant, with the total indirect association (standardized = −0.086, p < 0.01) accounting for approximately 30.9% of the total association (−0.278, p < 0.001). → Li Zilin 2026

Evidence¶

Li Zilin 2026¶

Li Zilin, Huang Jiali, Cui Zhaodi. (2026). GenAI Use and GenAI-Assisted Learning Procrastination in University Students: The Roles of Planned Behavior Constructs and Learning GenAI Anxiety. Behavioral Sciences. https://doi.org/10.3390/bs16071256

q2 · i? · associational · r2

Moderated indirect association analysis in Mplus for the 1243-student survey; all four specific indirect paths (through BA, SN, PBC, and BI) were significant, statistically consistent with the TPB-based model.

"The standardized total association of SUG on GALP was −0.278 (p < 0.001). The indirect association accounted for approximately 30.9% of this total association (standardized indirect association = −0.086, p < 0.01)"

Discussion¶

Related Claims¶

• University students' use of GenAI for learning task completion is negatively associated with GenAI-assisted learning procrastination — a broader claim this one bears on
• Learning GenAI anxiety moderates the intention–procrastination association, which is negative and significant at high anxiety but absent at low anxiety — related
• Behavioral attitude, subjective norm, perceived behavioral control, and behavioral intention are each negatively associated with GenAI-assisted learning procrastination — related
• GenAI use is positively associated with attitude, subjective norm, perceived behavioral control, and behavioral intention toward GenAI-assisted learning — related
• The structural model explains 71.6% of variance in GenAI-assisted learning procrastination and 58.5% in behavioral intention — related
• Prior comparative evidence shows small intention–norm and intention–control associations and a TPB model significant in Thailand but not South Africa — related