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GenAI Use and GenAI-Assisted Learning Procrastination in University Students: The Roles of Planned Behavior
Zilin Li1, Jiali Huang1, Zhaodi Cui1
1Center for Teacher Education Research of Beijing Normal University, Key Research Institute of Humanities and Social Sciences for Universities, Ministry of Education (Institute of Teacher Education, Faculty of Education, Beijing Normal University), Beijing 100875, China.
Generative artificial intelligence (GenAI) use is negatively linked to procrastination in university students, with beliefs and intentions playing key roles. Learning GenAI anxiety further influences this relationship, impacting academic task completion.
Area of Science:
- Educational Psychology
- Artificial Intelligence in Education
- Behavioral Science
Background:
- Generative artificial intelligence (GenAI) is increasingly adopted by university students for learning.
- The relationship between GenAI-assisted learning and procrastination requires further investigation.
- Existing research on procrastination lacks specific focus on the GenAI context.
Purpose of the Study:
- To examine the association between GenAI use for learning and procrastination among Chinese university students.
- To extend the Theory of Planned Behavior (TPB) to understand GenAI-assisted learning procrastination.
- To investigate the moderating role of learning GenAI anxiety on the intention-procrastination link.
Main Methods:
- A cross-sectional study involving 1243 Chinese university students.
- Path analysis was employed to examine direct and indirect associations.
- The Theory of Planned Behavior constructs (attitude, subjective norm, perceived behavioral control, intention) were assessed.
Main Results:
- GenAI use was negatively associated with GenAI-assisted learning procrastination (β = -0.195).
- TPB constructs (attitude, subjective norm, perceived behavioral control, intention) were all negatively linked to procrastination.
- Learning GenAI anxiety moderated the relationship between behavioral intention and procrastination.
Conclusions:
- Student beliefs, intentions, and emotional experiences (anxiety) are crucial in understanding GenAI-assisted learning procrastination.
- The study provides a contextualized TPB framework for GenAI learning behaviors.
- Findings suggest potential interventions targeting beliefs and anxiety to mitigate procrastination in GenAI-assisted learning.
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