Key Factors Influencing Design Learners’ Behavioral Intention in Human-AI Collaboration Within the Educational Metaverse

Ronghui Wu, Lin Gao, Jiaxin Li, Qianghong Huang and Younghwan Pan ()
Additional contact information
Ronghui Wu: Department of Smart Experience Design, Kookmin University, Seoul 02707, Republic of Korea
Lin Gao: Department of Animation, Zhongyuan University of Technology, Zhengzhou 450007, China
Jiaxin Li: Department of Animation, Zhongyuan University of Technology, Zhengzhou 450007, China
Qianghong Huang: Department of Smart Experience Design, Kookmin University, Seoul 02707, Republic of Korea
Younghwan Pan: Department of Smart Experience Design, Kookmin University, Seoul 02707, Republic of Korea

Sustainability, 2024, vol. 16, issue 22, 1-30

Abstract: This study investigates the key factors which influence design learners’ behavioral intention to collaborate with AI in the educational metaverse (EMH-AIc). Engaging design learners in EMH-AIc enhances learning efficiency, personalizes learning experiences, and supports equitable and sustainable design education. However, limited research has focused on these influencing factors, leading to a lack of theoretical grounding for user behavior in this context. Drawing on social cognitive theory (SCT), this study constructs a three-dimensional theoretical model comprising the external environment, individual cognition, and behavior, validated within an EMH-AIc setting. By using Spatial.io’s Apache Art Studio as the experimental platform and analyzing data from 533 design learners with SPSS 27.0, SmartPLS 4.0, and partial least squares structural equation modeling (PLS-SEM), this study identifies those rewards, teacher support, and facilitating conditions in the external environment, with self-efficacy, outcome expectation, and trust in cognition also significantly influencing behavioral intention. Additionally, individual cognition mediates the relationship between the external environment and behavioral intention. This study not only extends SCT application within the educational metaverse but also provides actionable insights for optimizing design learning experiences, contributing to the sustainable development of design education.

Keywords: educational metaverse; sustainable design education; human-AI collaboration; social cognitive theory; behavioral intention (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/22/9942/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/22/9942/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:22:p:9942-:d:1521110

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().