AI赋能的编程语言一体化课程教学改革与实践探索

AI-empowered Integrated Curriculum Teaching Reform and Practical Exploration for Programming Languages

摘要:

文中聚焦于编程语言教学改革，将人工智能技术深度融入C、C++、Java、Python 4门核心课程，系统解决了传统教学存在的内容滞后、模式单一、实践能力薄弱等问题。通过修订教学大纲增设AI专题模块，引入ChatGPT等大模型工具辅助实践，创新构建“AI引导式”案例教学模式，指导学生利用大模型调试代码、完成项目开发。同步推进翻转课堂与混合式教学改革，依托雨课堂与Educoder平台整合预习视频、智能测试与实践指导，形成“理论—案例—实践—反馈”闭环教学体系。进一步构建编程语言与AI技术跨域融合课程体系，开发智能化代码调试实践模块，探索基于大模型的个性化学习路径。实践表明，该改革显著提升了学生的技术应用能力与学习自主性。

Abstract:

This paper focuses on the reform of programming language teaching by deeply integrating artificial intelligence technology into four core courses: C, C++, Java, and Python. It systematically addresses issues prevalent in traditional teaching, such as outdated content, monotonous methods, and insufficient practical skills. By revising the syllabus to include AI modules and introducing large language model tools like ChatGPT to assist practice, the study innovatively constructs an "AI-guided" case teaching model, guiding students to debug code and complete projects using these models. Concurrently, flipped classroom and blended teaching reforms are promoted, leveraging platforms like Rain Classroom and Educoder to integrate preview videos, intelligent tests, and practical guidance, forming a closed-loop teaching system of "theory-case-practice-feedback." Furthermore, a cross-domain integrated curriculum system combining programming languages and AI technology is established, intelligent code debugging practice modules are developed, and personalized learning paths based on large models are explored. Practice demonstrates that this reform significantly enhances students' technical application abilities and learning autonomy.