Enhancing Level of Pedagogy for Engineering Students Through Generative AI

Abstract

The rapid advancement of generative AI technologies has opened new avenues for enhancing pedagogy in Engineering education. This paper explores the integration of generative AI into the teaching and learning processes, focusing on its potential to transform traditional pedagogical methods. By leveraging AI-driven tools, educators can create personalized learning experiences, automate routine tasks, and provide students with immediate feedback. The study investigates the impact of generative AI on student engagement, comprehension, and skill acquisition in core Engineering subjects. Through a series of case studies and empirical analysis, the research demonstrates how AI can be utilized to generate customized learning materials, facilitate interactive coding environments, and support collaborative learning at RK University. The findings suggest that incorporating generative AI into the curriculum not only enhances educational outcomes but also better prepares students for the evolving demands of the tech industry. This paper concludes with recommendations for educators on effectively implementing generative AI in Engineering programs and discusses the ethical considerations and challenges associated with its use in academic settings.