This abstract presents a comprehensive analysis of the impact of AI and machine learning on engineering education through research articles in the Journal of Engineering Education. The study examines recent trends, applications, and outcomes of integrating AI and machine learning algorithms in engineering pedagogy. Through bibliometric methods, we identify key themes, research directions, and their implications for enhancing educational practices. The findings shed light on the transformative potential of AI in engineering education, aiding educators and researchers in shaping future curriculum development and teaching methodologies