创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (1): 31-34.

• 教学革新 • 上一篇    下一篇

人工智能背景下高职Linux操作系统课程教学改革研究

严利1,2,3, 朱帅1,2,3, 陈慧琴1,2,3   

  1. 1.江苏农牧科技职业学院,江苏泰州 225300;
    2.江苏省农业物联网工程技术研究开发中心,江苏泰州 225300;
    3.泰州市智慧农业工程研究中心,江苏泰州 225300
  • 出版日期:2026-01-10 发布日期:2026-06-30
  • 通讯作者: 陈慧琴(1983—),女,江苏泰州人,博士研究生,副教授,研究方向:教育教学及农业信息化,电子邮箱:chq_831107@hotmail.com。
  • 作者简介:严利(1979—),男,江苏扬州人,硕士研究生,讲师,研究方向:教育教学及人工智能。
  • 基金资助:
    教育部第三期供需对接就业育人项目“计算机网络技术专业定向人才培养”(2023122738603);江苏农牧科技职业学院第四批“课程思政”专项“人工智能”(24KCSZ25);横向课题“靖江香沙芋地理标志农产品保护工程”(11710123103)

Research on the Teaching Reform of Linux Operating System Courses in Higher Vocational Education under the Background of Artificial Intelligence

YAN Li1,2,3, ZHU Shuai1,2,3, CHEN Huiqin1,2,3   

  1. 1. Jiangsu Agri-animal Husbandry Vocational College, Taizhou Jiangsu, 225300, China;
    2. Jiangsu Agricultural Internet of Things Engineering Technology Research and Development Center, Taizhou Jiangsu, 225300, China;
    3. Taizhou Smart Agriculture Engineering Research Center, Taizhou Jiangsu, 225300, China
  • Online:2026-01-10 Published:2026-06-30

摘要: 在人工智能技术深度重构产业生态的背景下,针对高职院校Linux操作系统课程与AI(人工智能)技术需求脱节的问题,该文以江苏农牧科技职业学院计算机网络技术专业为实践载体,开展“AI+Linux”课程教学改革研究;通过分析Linux系统在AI技术栈中的基础支撑作用,揭示传统教学中的结构性矛盾,构建包含AI工具链的模块化课程体系,开发AI辅助日志分析系统等虚实融合实训项目,建立动态评估反馈机制。教学实践表明:改革后学生命令行操作效率提升40%,网络安全认证通过率增长24%,构建的沙盒化实训环境实现82%的异常检测准确率,课程教学效果明显提升。

关键词: 人工智能, Linux, 高职教学, 计算机网络技术专业, 教学案例, 教学改革

Abstract: Under the background of deep reconstruction of industrial ecology by artificial intelligence technology, aiming at the problem of disconnection between Linux operating system course and AI (artificial intelligence) technology demand in higher vocational colleges, this paper takes the computer network technology major of Jiangsu Agri-animal Husbandry Vocational College as the practical carrier to carry out the teaching reform of“AI + Linux”course; By analyzing the basic supporting role of Linux system in AI technology stack, the structural contradictions in traditional teaching are revealed, a modular curriculum system including AI tool chain is constructed, virtual and real integration training projects such as AI-assisted log analysis system are developed, and a dynamic evaluation feedback mechanism is established. The teaching practice shows that: after the reform, the command line operation efficiency of students is increased by 40%, the passing rate of network security certification is increased by 24%, and the sandbox practical training environment constructed has achieved 82% anomaly detection accuracy, which significantly improves the teaching effect of courses.

Key words: Artificial intelligence, Linux, Vocational education teaching, Computer network technology, Teaching cases, Teaching reform

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