Research on Modular Development of Artificial Intelligence General Education Courses in the Context of Civil Affairs Vocational Education

Abstract

The continuous evolution of artificial intelligence technology imposes new requirements on talent cultivation in vocational education. Effectively delivering artificial intelligence general education among learners with diverse professional backgrounds and varying levels of prior knowledge has become a key issue in the curriculum development of vocational undergraduate programs. This study focuses on the field of civil affairs vocational education, targeting a characteristic professional cluster that covers the full life cycle, and explores the modular development path of artificial intelligence general education courses. Through an adaptability analysis of course positioning, this study clarifies the “bridge-type” knowledge system attribute of the course and proposes a knowledge selection strategy that distinguishes technical appearance from underlying logic. On this basis, a three-level progressive modular curriculum system of “foundation-application-extension” is constructed. The basic principles module condenses core concepts and thinking paradigms, while the professional mapping module achieves knowledge integration between general technology and specialized civil affairs domains. Guided by cognitive load theory, this study designs a layered progressive teaching path. By combining the pedagogical transformation of the essential characteristics of artificial intelligence with a cross-disciplinary collaborative learning mechanism, a systematic curriculum framework aimed at cultivating technical literacy is formed.