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Next-Gen Developers: Rethinking Software Engineering Education in the Age of Generative AI

Authors

Von Gabayan Nueva Vizcaya State University
Bernadeth Liggayu Nueva Vizcaya State University
Carlita Segundo Nueva Vizcaya State University

DOI:

https://doi.org/10.55927/eajmr.v5i3.59

Keywords:

Generative AI, Software Engineering, AI-assisted Programming

Abstract

The rapid rise of generative artificial intelligence (GenAI) is reshaping software engineering practices and redefining the skills required of modern developers. AI-powered tools now assist in code generation, debugging, documentation, and system design, affecting both industry workflows and educational approaches. This study conducts a systematic literature review of 18 scholarly publications using the PRISMA framework to explore the integration of GenAI in software development and software engineering education. Four key themes emerged: transformation of development practices, integration of AI in programming education, ethical and governance considerations, and workforce skill evolution. Findings highlight productivity gains and opportunities for outcome-based learning but reveal challenges in curriculum design, ethical AI use, and developing foundational programming and critical thinking skills, emphasizing the need for adaptive AI-integrated education.

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