Exploring the Evolving Competency Landscape in Electrical Engineering: An NLP (Natural Language Processing) and Machine Learning Approach

• In Event: Evolving Perpectives in Simulation Education

Abstract

The field of electrical engineering is rapidly evolving new roles, continuously impacting the required competencies for professionals in this domain. To bridge the gap between academia and industry needs, this study leverages Natural Language Processing (NLP) and Machine Learning (ML) to analyze electrical engineering job descriptions. The research identifies frequently sought-after skills, explores skill clustering patterns, and analyzes the demand for professional versus technical skills. The findings highlight the growing importance of automation skills, programming languages like Python and MATLAB, and professional competencies like innovation, communication, and collaboration. These insights emphasize the need to align educational curricula with these evolving demands to ensure graduate employability.

Authors

• Taiwo Feyijimi, University of Georgia

• Stephanie J. Lunn, Florida International University