Year: 2026
Type: article
Abstract: With the breakthrough development of generative artificial intelligence technology, the field of higher education is accelerating into a new stage of deep integration between large language models and traditional teaching. This paper analyzes the current status and existing problems of practical teaching in programming courses, and explores the methods and pathways for integrating large language models into the practical teaching system of programming courses. By leveraging large language models to construct professional knowledge graphs, assist personalized learning, build multimodal fusion interactive experimental scenarios, support comprehensive experimental project development, and reconstruct learning outcome evaluation, we aim to cultivate computer professionals who meet the requirements of the large-model era. Furthermore, the paper identifies issues that require attention in the educational application of large language models and proposes strategic recommendations.
Authors: Jianhua Zhao, Ning Liu
Institution: Shangluo University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
Awards: G2603589383, G6753859129
OpenAlex ID: W7202390564