ARTIFICIAL INTELLIGENCE-ASSISTED METHODS FOR TEACHING ELECTRICAL ENGINEERING DISCIPLINES

Abstract

This article explores the integration of Artificial Intelligence (AI) into the teaching and learning processes of electrical engineering disciplines. It describes methods for combining AI-assisted tools with traditional teaching strategies, including virtual laboratories, modeling, simulation, and adaptive learning systems. The study demonstrates how AI can enhance student engagement, facilitate the understanding of complex electrotechnical phenomena, and improve overall learning outcomes. Emphasis is placed on the synergistic interaction between teacher-led instruction and AI-supported student learning, as well as on the cognitive methods of abstraction, idealization, and deductive reasoning enhanced by intelligent systems.

Identifiers

DOI

10.5281/zenodo.18651687

Citations and references