AI赋能下的基于知识图谱的《大数据运维》课程教学改革与探索

AI-Enabled Teaching Reform and Exploration of the “Big Data Operations and Maintenance” Course Based on Knowledge Graph

摘要: 当前，人工智能技术的浪潮正驱动着相关产业与知识体系发生深刻变革，传统大数据运维课程的教学模式亟需系统性革新。针对《大数据运维》课程教学中存在的诸多问题，文章提出依托人工智能技术赋能，并结合超星学习通平台构建课程知识图谱开展教学改革研究。通过系统构建“思–学–知–行–用”五维教学框架，有效推动课程从知识传授到能力培养转型，实现知识、能力、应用和素质目标的协同发展。切实有效提高教师教学质量和学生学习成效，为教学改革提供新思路。

Abstract: In the context of the wave of artificial intelligence technology driving profound changes in related industries and knowledge systems, the teaching model of traditional big data operation and maintenance courses urgently requires systematic innovation. In response to the various problems existing in the teaching of the “Big Data Operation and Maintenance” course, this paper proposes leveraging the empowerment of artificial intelligence technology and constructing a course knowledge graph based on the Chaoxing Learning Platform to conduct teaching reform research. By systematically building a five-dimensional teaching framework of “Thinking - Learning - Knowing - Practicing - Applying”, the study effectively promotes the transformation of the course from knowledge transmission to ability cultivation, achieving the coordinated development of knowledge, skills, application, and literacy goals. This approach tangibly enhances both teaching quality and student learning outcomes, providing new insights for teaching reform.