The Future of Education

Programming education remains a major challenge in undergraduate computing programs. Learning to program is not just about understanding a language’s syntax; it also involves developing important cognitive skills such as computational thinking, abstraction, algorithmic reasoning, and structured problem-solving. In addition, students need soft skills like teamwork, critical thinking, and reflective thinking to succeed in real-world software development. The rapid growth of generative artificial intelligence (GenAI) is transforming how software is developed. While GenAI tools can automate routine programming tasks, they require developers to gain new skills in AI-assisted software development, system integration, and higher-level problem-solving. As a result, universities must rethink and update their programming curricula to meet changing industry demands. This paper explores how a programming course like web programming can be redesigned to include GenAI-related skills. Using web programming as a case study, we apply a proposed teaching framework to design a course that integrates both industry expectations and GenAI competencies. The goal is to better prepare students for GenAI-augmented software development roles and to support sustainable curriculum design in the age of generative AI.

 

Keywords— Generative AI, Effective Teaching Framework, Programming Pedagogy, Higher Education.

 

REFERENCES

 

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