生成式人工智能背景下《Python语言程序设计》教学模式探索与实践

Exploration and Practice of Teaching Models for “Python Language Programming” in the Context of Generative AI

摘要: 随着生成式人工智能技术的快速发展，DeepSeek、豆包等AI工具逐渐应用于程序设计课程学习过程。虽然AI工具能够提高学习效率，但部分学生在学习过程中存在过度依赖现象，导致独立思考能力、程序设计能力以及创新意识培养受到一定影响。针对这一问题，本文以《Python语言程序设计》课程为研究对象，结合大一新生学习特点，构建了一种以培养学生独立思考能力为核心的教学模式。该模式通过原创编程任务驱动、翻转课堂以及阶段性编程竞赛等教学活动，引导学生主动进行问题分析、程序设计和程序实现的完整学习过程。经过一个学期的教学实践，学生课堂参与度、自主学习意识以及程序设计能力均得到明显提升，对生成式AI工具的使用也更加理性。该教学模式能够在发挥AI辅助学习优势的同时，有效避免学生形成过度依赖，为生成式AI背景下程序设计类课程教学改革提供了参考。

Abstract: With the rapid advancement of generative artificial intelligence technologies, AI tools such as DeepSeek and Doubao have been increasingly applied in the learning process of programming courses. Although these AI tools can improve learning efficiency, some students have developed an over-reliance on them, which adversely affects the cultivation of independent thinking ability, programming proficiency, and innovative awareness. To address this issue, this study takes the Python Language Programming course as the research subject and, taking into account the learning characteristics of first-year college students, constructs a teaching model centered on fostering students’ independent thinking ability. This model integrates original programming task-driven learning, flipped classroom, and phased programming competitions to guide students through the complete learning process of problem analysis, program design, and program implementation. After one semester of teaching practice, students’ classroom participation, autonomous learning awareness, and programming abilities have been significantly improved, and their use of generative AI tools has become more rational. This teaching model effectively prevents students from developing excessive dependence on AI while leveraging its advantages in assisting learning, thereby providing a reference for the reform of programming course instruction in the context of generative AI.