ArticleFrontiers in psychology2024
The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed.
- Expressive activation enhances user satisfaction in AIGC co-creation through perceived control and meaning-making.Scientific reports · 2026Article
- Enhancing student creativity in AIGC design education: the mediating role of learning motivation in reverse engineering pedagogy.Frontiers in psychology · 2026Article
- Beyond usability: how AI tools shape design innovation ability among Chinese industrial design students.Frontiers in psychology · 2026Article
- AI literacy and high school English teachers' teaching anxiety: the chain mediation role of teaching self-efficacy and work engagement.Frontiers in psychology · 2026Article
- Cultural identity as a cognitive buffer: enhancing creative self-efficacy in digital heritage education.Frontiers in psychology · 2026Article
- Generative AI acceptance and professional autonomy development among Chinese university physical education teachers: a moderated conditional process model.Frontiers in psychology · 2026Article
- Article
- Pedagogical GenAI use and self-reported creative cognition in art education: a three-wave time-lagged correlational study among design students.Frontiers in psychology · 2026Article
- Psychological associations between perceived generative AI-supported learning and creative design performance in vocational design education: a within-course correlational study.Frontiers in psychology · 2026Article
- Navigating the AI Era: How Perceived Organizational Support Shapes Employees' AI-Related Anxiety via AI Self-Efficacy.Psychology research and behavior management · 2026Article
- GenAI-supported project-based product design learning: differential changes in multidimensional learning outcomes.Frontiers in psychology · 2026Article
- How does artificial intelligence literacy affect university students' innovative behavior? A serial mediation analysis based on latent profiles.Frontiers in psychology · 2026Article
- From cognitive need to problematic use: a chained mediation path moderated by academic stress and AI literacy.Frontiers in psychology · 2026Article
- Generative AI an academic equalizer? The differential impact of AI-assisted learning on self-efficacy and intrinsic motivation among university students.Frontiers in psychology · 2026Article
- The predictive effects of AI anxiety on 21st-century skills and lifelong learning tendencies: a study of pre-service teachers in Northern Cyprus.Frontiers in psychology · 2026Article
- The psychological mechanism and heterogeneity of art design students' intention to use AI: an empirical analysis based on an integrated framework.Frontiers in psychology · 2026Article
- Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions.Frontiers in psychology · 2026Article
- AI literacy and creative self-beliefs among Chinese college students: examining the underlying mechanisms and boundary conditions.Frontiers in psychology · 2026Article
- The chain mediating role of critical thinking and AI self-efficacy in GenAI usage competence and engineering students' creativity.Scientific reports · 2025Article
- Promoting teaching innovation among university teachers through AI literacy from the perspective of planned behavior: the moderating effects of three perceived supports.Frontiers in psychology · 2025Article
Corrections and comments
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2 authors.
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Abstract
Introduction: This study investigated the role of generative Artificial Intelligence (AI) in enhancing the creative cognition of design students, examining the mediating effects of self-efficacy and anxiety reduction. Methods: A quantitative approach was employed, collecting data through online surveys from 121 design students at universities in southern China. The study utilized scales for AI knowledge and perception, self-efficacy, anxiety, and creative cognition, adapted from previous studies and evaluated on 5-point Likert scales. Data analysis was conducted using SPSS 24.0 for exploratory factor analysis and PROCESS v3.5 for mediation analysis. Results: The findings confirmed that AI positively impacted students' innovative thinking (* Discussion: Our empirical analysis demonstrates that AI positively affects design students' innovative thinking, with self-efficacy and anxiety reduction serving as significant mediators. These findings provide valuable insights for educators and policymakers, suggesting that AI-integrated design curricula can significantly foster creative cognition, promote academic achievement, and enhance designer capabilities. Understanding AI's impact on students' creative processes is crucial for developing effective teaching strategies in today's evolving educational landscape.
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