The Potential of AI in Electrical and Electronic Engineering Education: A Review

The rapid advancement of Artificial Intelligence (AI) technologies is transforming education, particularly in Electrical and Electronic Engineering (EEE). This paper explores the potential applications, benefits, and challenges of Generative AI (GenAI) and Large Language Models (LLMs) in EEE education. Key areas include personalized learning, intelligent tutoring systems, automated grading, and predictive analytics. While these technologies offer significant enhancements in teaching and learning, they also present challenges such as data privacy, bias, and the need for human interaction. By examining current implementations and providing recommendations, this paper aims to guide educators and researchers in effectively integrating AI to improve EEE education.