Adapting High-Level Language Programming (C Language) Education in the Era of Large Language Models

Abstract

With the widespread application of large language models (LLMs) in natural language processing and code generation, traditional High-Level Language Programming courses are facing unprecedented challenges and opportunities. As a core programming language for computer science majors, C language remains irreplaceable due to its foundational nature and engineering adaptability. This paper, based on the rapid development of large model technologies, proposes a systematic reform design for C language teaching, focusing on teaching objectives, content structure, teaching methods, and evaluation systems. The article suggests a teaching framework centered on “human-computer collaborative programming,” integrating prompt training, AI-assisted debugging, and code generation analysis, aiming to enhance students’ problem modeling ability, programming expression skills, and AI collaboration literacy.