ARTIFICIAL INTELLIGENCE AND UNIVERSITY TEACHING: PERSPECTIVES TOWARDS PEDAGOGICAL TRANSFORMATION IN THE TRAINING OF ELECTRONIC ENGINEERS AT THE POPULAR UNIVERSITY OF CESAR

Abstract

The article discusses how pedagogical transformation in electronics engineering education can leverage artificial intelligence (AI). A literature review of recent years reveals trends in how AI is transforming higher education, which in turn offers new opportunities for the training of electronic engineers at the Popular University of Cesar. The use of AI-powered learning environments, such as virtual labs, intelligent tutoring, and adaptive formative assessment, is discussed. Proposals are put forward for the training of electronic engineers, including decision-making guided by data analytics and the inclusion of ethical and governance principles in curriculum design. AI has become one of the most impactful technologies in education and its use in the training of electronic engineers is already beginning to explore new dimensions. When approached from an active learning perspective, it can become an engine that supports the transformation of teaching practice and promotes the acquisition of technical and non-technical skills. However, the application of these technologies is conditioned by restrictions of availability, equity, and ownership. The lack of alignment between the evolution of technology and the preparation of the new generations of engineers is currently a serious challenge. Decisive leadership, vision and action are required, ensuring that the impact of AI in the training field is in line with the principles of safety and ethics.