Research on the Intelligence-Oriented Teaching of the Artificial Intelligence-Driven Operating System Course

This paper takes the operating system course as the research object. Aiming at the problems such as fragmented knowledge and single learning path existing in the traditional teaching mode, an intelligent teaching scheme based on the Chaoxing Learning Pass platform to construct the course knowledge graph is proposed. By structuring course resources through the Chaoxing platform, a multi-dimensional knowledge graph system covering core concepts such as process management, memory allocation, file systems, and device control, key algorithms, and typical application scenarios is established. Relying on the learning situation analysis function of the Learning Pass platform, students' learning behaviors and mastery situations are dynamically tracked. This model enhances students' understanding of the intrinsic connections of the system mechanism through a visual knowledge network, dynamically diagnoses weak links in knowledge, and precisely supports teaching intervention. At the same time, integrate online resources, introduce practical cases related to operating systems, expand the engineering perspective, stimulate students' interest, promote independent exploration, and effectively improve teaching efficiency and learning outcomes.