Research on the Integration and Quality Improvement of Computer Basic Courses for Non-Computer Majors in Universities Driven by the Dual Forces of Industry-Education Integration and AI

Genyuan Wang, Xiaona Liu and Kaixuan Wang

Education Insights, 2026, vol. 3, issue 1, 22-28

Abstract: Under the new round of scientific and technological revolution and industrial transformation, new quality productive forces place new demands on talent cultivation in higher education. Computer basic courses in universities are facing a paradigm shift from "imparting tool operation" to "reshaping digital-intelligence logic." However, current challenges include lagging course content, superficial industry-education integration, lack of authentic logic in practice, and single-dimensional evaluation. This paper integrates the collaborative education mechanism of industry-education integration with the empowerment pathways of artificial intelligence technology to construct a three-tier "general education + fusion + expansion" curriculum system. This is supplemented by personalized guided learning, real project-driven learning, a "Four Threes" practical model, and a multi-dimensional dynamic evaluation system, forming a comprehensive teaching reform plan. Practice shows that this plan can effectively stimulate the digital innovation potential of non-computer major students, enhance their professional competence in the digital-intelligence era, and provide a reference paradigm for the digital transformation of higher education.

Keywords: industry-education integration; artificial intelligence; computer basic courses (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:axf:eiaaaa:v:3:y:2026:i:1:p:22-28

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