Author(s)

He Wang ¹

Affiliation(s)

¹ School of Information & Intelligence Engineering, University of Sanya, Sanya, Hainan, 572022, China

Corresponding Author

He Wang

ABSTRACT

Exploring the multi-dimensional impact of generative artificial intelligence (GAI) on programming courses in higher education, analyzing the opportunities and challenges it brings in areas such as teaching, academic integrity, and future talent demands. Through an in-depth analysis of the technical characteristics of generative AI, its code generation capabilities, and its current applications in the educational field, it is found that generative AI offers significant advantages in enhancing programming learning efficiency and personalized teaching. However, it also poses new challenges to academic integrity and student motivation. In light of the trends in AI development, the study highlights the necessity of curriculum reform and proposes measures such as constructing a AI-assisted teaching model, optimizing course design, and innovating assessment systems to promote the reform of programming education, thereby meeting the new demands of the AI era.

KEYWORDS

Generative Artificial Intelligence (GAI); DeepSeek; Programming Education; Curriculum Reform

CITE THIS PAPER

He Wang, Research on the Reform of Programming Courses Driven by Generative Artificial Intelligence. Journal of Artificial Intelligence Practice (2025) Vol. 8: 150-155. DOI: http://dx.doi.org/10.23977/jaip.2025.080119.

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