Aiming to Enhance Higher Education Practice Through Generative AI Integration: A Theoretical Exploration of Critical Success Factors

Junbin Wang and Chuanbo Zhang

SAGE Open, 2025, vol. 15, issue 2, 21582440251342464

Abstract: This study aims to explore the criteria and success factors for the application of Artificial Intelligence Generated Content (AIGC) in higher education, and guide its practice through the construction of a comprehensive system and framework. This study first identifies seven primary criteria, encompassing technical robustness, integration with existing systems, evidence-based practice, user acceptance and engagement, ethical considerations, collaborative ecosystems, and cultural and contextual sensitivity. These criteria are further refined into 19 subfactors. Utilizing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method for analysis, the results indicate that user acceptance and engagement occupy a central position in AIGC applications, emerging as the primary factor influencing successful implementation. Simultaneously, the establishment of a collaborative ecosystem is identified as a critical aspect. Additionally, factors such as technical robustness, integration with existing systems, and evidence-based practice not only directly impact user acceptance and engagement but also indirectly affect other elements like the collaborative ecosystem. In terms of specific key success factors, scalability and feedback mechanisms play a crucial role in AIGC implementation. Furthermore, partnerships demonstrate high prominence in higher education AIGC applications, highlighting the importance of building and maintaining strong collaborative relationships for successful implementation. This study provides significant insights into theories in educational technology and offers practical guidance for higher education institutions in their applications.

Keywords: AIGC; higher education; education digitization; key success factors; DEMATEL method (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440251342464 (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:sae:sagope:v:15:y:2025:i:2:p:21582440251342464

DOI: 10.1177/21582440251342464

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().