An AI-Enhanced, Case-Based Approach to Blended C Programming Instruction

Le résumé fourni par la source

With the rapid advancement of artificial intelligence (AI), traditional programming instruction must adapt to the evolving demands of interdisciplinary talent cultivation. This paper proposes an AI-empowered, casedriven teaching model for the “C Programming Language” course, integrating AI-assisted tools, real-world case studies, and ideological and political education to foster both technical competence and social responsibility. Practical implementation demonstrates that the model enhances student engagement, programming and data processing skills, and awareness of ethical and civic values. Comparative analysis further shows that students from different genders, regions, and programming backgrounds benefit in an inclusive manner, helping to narrow learning disparities. Future directions include expanding the case library, extending the model to other programming languages such as Python and Java, and addressing challenges related to data privacy and responsible AI use, thereby offering a sustainable pathway for curriculum reform in computer science education

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