The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety
IntroductionThis 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.MethodsA quantitative approach was employed, collecting data through online surveys f...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1455015/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832585016285069312 |
|---|---|
| author | Younjung Hwang Yi Wu |
| author_facet | Younjung Hwang Yi Wu |
| author_sort | Younjung Hwang |
| collection | DOAJ |
| description | IntroductionThis 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.MethodsA 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.ResultsThe findings confirmed that AI positively impacted students’ innovative thinking (*β* = 0.610, *p* < 0.001). Self-efficacy (standardized *β* = 0.256, 95% CI [0.140, 0.418], *p* < 0.001) and anxiety reduction (standardized *β* = 0.093, 95% CI [0.018, 0.195], *p* < 0.05) positively mediated the relationship between generative AI and creative cognition. Additionally, a serial mediation effect through self-efficacy and anxiety reduction was observed (standardized *β* = 0.053, 95% CI [0.012, 0.114], *p* < 0.05).DiscussionOur 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. |
| format | Article |
| id | doaj-art-a6f18114bca54aad89cd7500170d777f |
| institution | Kabale University |
| issn | 1664-1078 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj-art-a6f18114bca54aad89cd7500170d777f2025-01-27T06:40:52ZengFrontiers Media S.A.Frontiers in Psychology1664-10782025-01-011510.3389/fpsyg.2024.14550151455015The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxietyYounjung Hwang0Yi Wu1School of Design, Hunan University, Changsha, ChinaSchool of International Communication and Arts, Hainan University, Haikou, ChinaIntroductionThis 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.MethodsA 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.ResultsThe findings confirmed that AI positively impacted students’ innovative thinking (*β* = 0.610, *p* < 0.001). Self-efficacy (standardized *β* = 0.256, 95% CI [0.140, 0.418], *p* < 0.001) and anxiety reduction (standardized *β* = 0.093, 95% CI [0.018, 0.195], *p* < 0.05) positively mediated the relationship between generative AI and creative cognition. Additionally, a serial mediation effect through self-efficacy and anxiety reduction was observed (standardized *β* = 0.053, 95% CI [0.012, 0.114], *p* < 0.05).DiscussionOur 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.https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1455015/fullgenerative AIcreative cognitionself-efficacyanxietydesign education |
| spellingShingle | Younjung Hwang Yi Wu The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety Frontiers in Psychology generative AI creative cognition self-efficacy anxiety design education |
| title | The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety |
| title_full | The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety |
| title_fullStr | The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety |
| title_full_unstemmed | The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety |
| title_short | The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety |
| title_sort | influence of generative artificial intelligence on creative cognition of design students a chain mediation model of self efficacy and anxiety |
| topic | generative AI creative cognition self-efficacy anxiety design education |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1455015/full |
| work_keys_str_mv | AT younjunghwang theinfluenceofgenerativeartificialintelligenceoncreativecognitionofdesignstudentsachainmediationmodelofselfefficacyandanxiety AT yiwu theinfluenceofgenerativeartificialintelligenceoncreativecognitionofdesignstudentsachainmediationmodelofselfefficacyandanxiety AT younjunghwang influenceofgenerativeartificialintelligenceoncreativecognitionofdesignstudentsachainmediationmodelofselfefficacyandanxiety AT yiwu influenceofgenerativeartificialintelligenceoncreativecognitionofdesignstudentsachainmediationmodelofselfefficacyandanxiety |