AI编程背景下程序设计类课程教学改革研究

Exploration of Teaching Reform for Programming Courses in the Context of AI Coding

摘要: 随着大型语言模型(Large Language Model, LLM)技术的突破性发展，人机协作、AI编程的软件开发模式对高校人才培养提出了新要求。文章在对氛围编程(Vibe Coding)的概念、特征、工作流程进行探讨的基础上，提出将其与任务驱动教学模式相结合，并在程序设计类课程中进行融合应用。具体而言，在编程任务的完成过程中采用“需求描述→AI编程→测试验证→优化迭代→知识内化”的流程。教学实践表明，该模式改变了学生的程序设计思维模式，显著提升了学生的学习兴趣、创新能力和AI素养，为数智时代的编程教学改革提供了理论与实践参考。

Abstract: With the breakthrough development of Large Language Model (LLM), the AI programming-based software development model characterized by human-machine collaboration has raised new requirements for talent cultivation in higher education institutions. Based on an exploration of the connotation, characteristics, and workflow of Vibe Coding, this paper proposes the integration of Vibe Coding with the task-driven teaching model and its application in programming courses. The process of completing programming tasks adheres to the workflow of “requirement description → AI code generation → testing and feedback → optimization and iteration → knowledge internalization”. Teaching practice demonstrates that this model has reshaped students’ programming thinking, significantly improved their learning interest, innovative competence, and AI literacy, and thus provides theoretical and practical references for the reform of programming teaching in the digital and intelligent era.