人工智能时代Python语言课程教学体系创新探索与实践

Exploration and Practice of the Innovative Teaching System for Python Language Courses in the Artificial Intelligence Era

摘要: 《Python程序开发语言》是数据科学与大数据技术和应用统计学等专业的一门专业必修课程，其课程的教学体系建设对培养学生的动手实践能力和创新思维意义非凡，且能为学生以后学习大数据、人工智能奠定基础。因此，本文以重庆科技大学《Python程序开发语言》课程教学现状中的“痛点”为例，构建“图谱式教学内容、项目式教学实践、混合式教学手段、特色式教学思政、多元式考核体系”的“五式”创新举措，实现教学与专业教育、特色育人、实践创新紧密联系的“三联”目标，全面解决痛点问题。实践表明：知识图谱的应用全面提高了学生学习的学习效率，大幅度地提高了学生灵活运用Python语言解决实际问题的能力。此体系能为当前Python语言课程教学体系改革提供参考。

Abstract: “Python Programming Language” is a compulsory professional course for majors such as data science and big data technology, and applied statistics. The construction of its teaching system plays a crucial role in cultivating students’ practical ability and innovative thinking, and can lay a foundation for students’ future study of big data and artificial intelligence. Therefore, taking the “pain points” in the teaching of “Python Programming Language” at Chongqing University of Science and Technology as an example, this paper constructs the “five-mode” innovative measures of “knowledge-graph-based teaching content, project-based teaching practice, blended teaching methods, characteristic-based ideological and political education in teaching, and a diversified assessment system”. These measures aim to achieve the “three-connection” goals of closely integrating teaching with professional education, characteristic education, and practical innovation, comprehensively addressing the pain points. Practice shows that the application of knowledge graphs has comprehensively improved students’ learning efficiency and significantly enhanced their ability to flexibly use the Python language to solve practical problems. This system can provide a reference for the current reform of the Python language teaching system.