TITLE:
Research on the Innovative Path of AIGC Enabling University Basic Course Teaching
AUTHORS:
Renyuan Dou
KEYWORDS:
AIGC, College Basic Courses, Teaching Innovation, Human-Machine Collaboration
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.14 No.4,
April
30,
2026
ABSTRACT: The development of artificial intelligence-generated content (AIGC) technology brings new opportunities for the teaching reform of basic courses in colleges and universities. Based on the technology acceptance model, man-machine collaboration theory, and triple helix theory, this study adopts the mixed research method of questionnaire survey and interview to investigate 1247 students and 38 teachers. SPSS is used for descriptive statistics, difference analysis, and correlation analysis. This paper systematically discusses the current situation, dilemma, and innovation path of AIGC enabling college basic course teaching. The study found that AIGC was widely used in basic courses, with a 42.3% frequent utilization rate among students and a 76.3% attempt rate among teachers. However, the application level mainly stayed in information acquisition and assignment assistance, and the support for deep learning was insufficient. The application frequency of science and engineering students is significantly higher than that of humanities and social sciences, highest among sophomore students and lowest among senior students, and the application level of urban students is significantly higher than that of rural areas. The digital divide in the intelligent era deserves attention. AIGC has a dual effect on learning outcomes; 67.5% of students think it improves efficiency, but 49.6% of students admitted excessive dependence. The frequency of use and learning effect has an inverted U-shaped relationship; moderate use is the key. Teachers face three obstacles: technical anxiety, role confusion, and a lack of system. Based on the triple helix theory, this paper constructs a trinity innovation path of “technology empowerment-teaching reconstruction-ecological guarantee,” which provides a reference for the intelligent transformation of basic courses in colleges and universities.