The Impact of Artificial Intelligence on Learning and Teaching of Engineering
This article explores the intersecting domains of artificial intelligence (AI), education, engineering, and the associated risks they entail. It highlights the transformative potential of AI in education, enabling personalized learning and innovative teaching methodologies. In the field of engineering, AI offers opportunities for process optimization, design innovation, and virtual laboratories, that can enhance both the practice and the teaching of engineering. To better comprehend how AI is used and perceived, a survey concerning AI and research in academic databases are also examined to better understand how the public is perceiving this new technology and what are the trends in publishing within these fields. This article highlights the problems we may face with the implementation of AI in our society and provides insights into AI’s potential, risks, and the need for responsible implementation in education, engineering, and society.
Authors
- Antônio Carlos Zambroni de Souza (ORCID: https://orcid.org/0000-0001-8559-9590)
- Paulo F. Ribeiro (ORCID: https://orcid.org/0000-0003-1080-462X)
- Eduardo Abranches Silva Lopes (ORCID: https://orcid.org/0000-0003-0270-0812)
- Pablo E. A. Guedes (ORCID: https://orcid.org/0009-0005-0670-0969)
Institutions
- Universidade Federal de Itajubá (BR)
Publication Details
- Journal
- IEEE Transactions on Education
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/te.2025.3584007
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico