Exploring the “Technology–Process–Performance” Framework: An AIGC Application Model in Photography Courses at Universities in Shanxi, China
Year: 2025
Type: article
Study design: Observational Study
Abstract: In the context of the rapid development of Artificial Intelligence Generated Content (AIGC), this study, based on the Technology Acceptance Model, Organizational Support Theory, and Industry Integration Logic, constructs a causal model of “Technology Adaptation – Teaching Process – Curriculum Performance” to examine its role in photography curriculum management at universities in Shanxi, China. A mixed-methods approach was adopted, using PLS-SEM to analyze 455 valid questionnaires, complemented by interviews with 21 teachers, students, and industry representatives. Findings indicate that AIGC Technology Adaptation, Resource Assurance, Cost Investment, and Industry Integration indirectly affect curriculum performance through the mediating roles of the Teaching Process and Industry Identity, which also exert significant direct effects. The study reveals that the impact of AIGC on curriculum performance follows multiple mediating pathways rather than a linear process. It further proposes practical strategies for “AIGC-empowered curriculum performance,” offering theoretical support and practical guidance for the intelligent transformation of art and design education in higher education.
Authors: Fan, Yali, Zhang, Xizhe
Institution: Southeast Asia University
Language: Thai
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7215492420