Frontiers in Educational Research, 2025, 8(4); doi: 10.25236/FER.2025.080436.
Ma Yue
School of Intelligent Science and Engineering, Xi’an Peihua University, Xi’an, China
The deep integration of artificial intelligence (AI) technology in education has provided new opportunities for innovation in university teaching models. This study focuses on Computer and Information Technology courses in higher education, constructing an AI-based "Teacher-Machine-Student" tripartite collaborative teaching model and validating its effectiveness through empirical research. A comparative experiment was conducted using two parallel class samples to systematically analyze the application effects of AI technology in personalized learning, intelligent assessment, and teaching interaction. The results show that the AI-driven teaching model significantly improves students' academic performance (average increase of 15%) and classroom engagement (increase of 20%), while optimizing teaching efficiency for instructors. This research not only provides theoretical support for the reform of computer courses in universities but also offers practical references for the digital transformation of education.
Artificial Intelligence; Computer and Information Technology; Teaching Model; Personalized Learning; Educational Digitalization
Ma Yue. AI-Driven Teaching Model for Computer and Information Technology Courses in Universities. Frontiers in Educational Research (2025), Vol. 8, Issue 4: 245-249. https://doi.org/10.25236/FER.2025.080436.
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