A STUDY ON THE TEACHING REFORM AND PRACTICAL APPROACHES FOR AI-ENABLED MANAGEMENT COURSES

Abstract

Against the backdrop of global digital transformation and the “New Liberal Arts” initiative, traditional management pedagogy faces critical challenges – including outdated curricula, monolithic instructional modes, and rigid assessment mechanisms – that fail to meet the demand for composite talent in the digital economy. Focusing on the Principles of Management course, this study investigates the core value and practical necessity of Artificial Intelligence (AI) in empowering teaching reform. To address prevailing pedagogical deficiencies, this paper constructs a systematic reform framework driven by AIGC technologies. Specifically, in terms of content, Natural Language Processing (NLP) is utilized to construct a “Five-Dimensional Dynamic Knowledge Graph” (encompassing knowledge, objectives, competencies, ideological-political elements, and problem-solving), thereby facilitating real-time updates and structural optimization. Regarding instructional modes, the study innovatively integrates ICAP theory with the Five-Star Instructional Design to create a full-process blended smart classroom spanning pre-class, in-class, and post-class phases. Furthermore, a “Knowledge-Competency-Quality” three-dimensional dynamic assessment system is established via big data analytics to ensure precise, process-oriented evaluation. Finally, faculty digital literacy is enhanced through specialized training and research team development. By fostering the synergistic innovation of “Knowledge GraphsCourse Matrices-Assessment Models,” this study aims to fundamentally shift management education from knowledge transmission to competency cultivation, offering a replicable theoretical reference and practical paradigm for the digital transformation of business education in higher education institutions.