Generative Artificial Intelligence in Teaching and Learning of ICT Engineering Education: A Literature Review and Illustrative Scenarios

This paper presents a comprehensive literature review on the integration of Generative Artificial Intelligence (Gen AI) in the teaching and learning processes within Information and Communication Technologies (ICT) engineering education. The study delves into the potential of Gen AI technologies to enhance educational practices in engineering contexts. Through synthesizing existing literature, this review analyzes the impact of Gen AI on pedagogical strategies, curriculum development, and student engagement in the realm of ICT engineering education. The paper presents authentic teaching cases, including applications and experiments with students, from various studies conducted at higher education institutions worldwide. The illustrative scenarios primarily focus on showcasing the practical applications of Gen AI in two key areas: programming skills and ethics within ICT engineering education. The exploration of these cases provides valuable insights and discussion into the effective implementation of Gen AI in higher education, recognizing the importance of integrating the learning of these technologies into the curriculum. This research provides a valuable resource for ICT engineering educators, researchers, and policymakers aiming to harness AI technologies for transformative progress in engineering education.