大模型环境下Python教学的范式迁移与能力重构

Paradigm Shift and Competence Reconstruction in Python Programming Education under the LLM Environment

摘要: 随着生成式人工智能的爆发，传统的编程教育面临巨大挑战。本文针对《Python程序设计》课程中存在的语法教学碎片化、学生解决复杂问题能力弱等痛点，提出了一种“AI协同编程”的教学新模式。通过引入提示词工程、AI辅助纠错及大模型项目驱动教学，旨在培养学生在AI时代下的算法思维与系统集成能力。

Abstract: With the rapid emergence of generative artificial intelligence, traditional programming education is facing significant challenges. Focusing on the issues in the Python Programming course—such as fragmented syntax instruction and students’ limited ability to solve complex problems—this paper proposes a new teaching model of “AI-collaborative programming.” By incorporating prompt engineering, AI-assisted debugging, and large language model–driven project-based learning, the approach aims to cultivate students’ algorithmic thinking and system integration capabilities in the AI era.