Effect of Ai-Driven Project-Based Learning on Interior Design Students’ Creative Behaviour: Suzhou Vocational College, Jiangsu Province

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Shulin Hua
Sobsun Mahaniyom
Narong Wichairat

บทคัดย่อ

This study examines the effects of Artificial Intelligence–Driven Project-Based Learning (AI-PBL) on students’ learning engagement and creative idea generation in interior design education. It further investigates the mediating role of learning engagement—conceptualized as absorption, dedication, and vigor—and the moderating role of creative self-efficacy in the relationship between AI-PBL and creative ideation behavior. The purpose of the study is to clarify the psychological mechanisms through which AI-enhanced instructional approaches support creativity in higher education.


A mixed-methods research design was employed. Quantitative data were collected through a cross-sectional questionnaire administered to university students with experience in AI-supported project-based learning and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). In addition, qualitative data were obtained from semi-structured interviews with instructors experienced in implementing AI-PBL to enrich the interpretation of the quantitative findings.


The results indicate that AI-PBL has a significant positive effect on all three dimensions of learning engagement: absorption, dedication, and vigor. Learning engagement was found to partially mediate the relationship between AI-PBL and creative idea generation, highlighting its critical role in fostering innovative thinking. Furthermore, creative self-efficacy significantly moderates the relationship between learning engagement and creative ideation, with higher levels of self-efficacy strengthening the positive impact of engagement on creative performance. Qualitative findings support these results, emphasizing the importance of personalized guidance, collaborative interaction, and immediate feedback in AI-PBL environments. Overall, the study provides empirical support for integrating AI-driven pedagogical strategies to enhance student creativity through engagement-oriented learning design.

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