ArticleFrontiers in psychology2025
The impact mechanism of artificial intelligence dependence on college students' innovation capability: an empirical study from China.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Supportive University Climate and AI Dependence Among Undergraduates: The Sequential Mediating Role of Academic Self-Efficacy and Self-Control.Behavioral sciences (Basel, Switzerland) · 2026Article
- Mixed-methods study on GenAI Usage, dependence behaviors, and standardized application paths among Chinese medical students.NPJ digital medicine · 2026Article
- Differentiation under pressure: psychological pathways and latent profiles of GenAI dependence among graduate students.Frontiers in psychiatry · 2026Article
- AI information encounters and university students' digital burnout: the mediating role of cognitive flexibility and the moderating effect of AI learning trust.Frontiers in psychology · 2026Article
- Affective pathways in human-AI interaction: the formation of willingness to communicate among Chinese KFL learners in AI-mediated informal digital learning of Korean.Frontiers in psychology · 2026Article
- Artificial intelligence dependency in college students: a critical narrative review.Frontiers in psychology · 2026Review
- AI literacy and college students' innovative thinking: chain mediating roles of AI interaction perception and AI attitudes.Frontiers in psychology · 2026Article
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Authors and funding
3 authors.
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Abstract
Introduction: The rapid adoption of artificial intelligence (AI) in higher education has increased college students' reliance on AI tools. While AI enhances learning efficiency, it may also undermine key cognitive processes required for innovation. Methods: Using survey data from 1,032 students, this study employed partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to examine how AI dependence, cognitive inertia, employment pressure, and academic utilitarian atmosphere shape students' innovation capability. Results: AI dependence significantly increases cognitive inertia, with cognitive dependence ( Discussion: This study clarifies the cognitive mechanisms and contextual conditions through which AI dependence affects innovation. The findings extend research in educational technology and innovation psychology and offer practical guidance for universities to optimize learning environments, promote rational AI use, ease employment pressure, and improve academic culture.
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