Artificial intelligence in engineering training

Abstract

The interviews conducted with professors and students from an integrative course in Electromechanical Engineering during the 2024-2025 period have allowed for an evaluation of the incorporation of artificial intelligence, AI, in engineering education. This first experience has revealed errors, advantages, and limitations that should be considered in its implementation.

AI has proven to be an intelligent collaborator in teamwork, providing ideas and proposals that require evaluation and application with common sense. It does not replace group dynamics but rather complements individual development, facilitating autonomous learning without depending on the availability of professors. However, it presents challenges regarding critical thinking, contextual analysis of each problem, and adapting solutions to specific situations.

A key aspect is the impact of technology on the educational environment. The constant presence of devices such as phones, tablets, and computers can act as a distraction, limiting creativity and critical thinking. Therefore, a structured approach is proposed for its integration: first, strengthening collaborative work skills in engineering projects and, subsequently, incorporating AI as a complementary tool that the group can analyze and evaluate critically.

This approach seeks to leverage the potential of artificial intelligence without neglecting the fundamental values of engineering education, ensuring a balance between technological use and the development of essential skills for professional practice.