Artificial Intelligence in Engineering Education: A Content Analysis

Emilia Ahumada-Tapia (), Macarena A. Alvarez-Rojas (), Rosley Anholon (), Tiago F. A. C. Sigahi, Carolina Rojas-Córdova and Izabela Simon Rampasso ()
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Emilia Ahumada-Tapia: Universidad Católica del Norte
Macarena A. Alvarez-Rojas: Universidad Católica del Norte
Rosley Anholon: University of Campinas
Tiago F. A. C. Sigahi: University of Campinas
Carolina Rojas-Córdova: Universidad Católica del Norte
Izabela Simon Rampasso: Universidad Católica del Norte

A chapter in Human-Centred Technology Management for a Sustainable Future, 2025, pp 101-107 from Springer

Abstract: Abstract The integration of artificial intelligence (AI) into engineering education is an evolving area that promises to transform teaching and learning. This study examines the literature on the use of AI in engineering education to understand its current state. For this, a systematic literature review was conducted and the selected papers were analysed through an inductive approach of content analysis. It is highlighted that most of the articles presents practical applications of cases, evidencing a scarcity of theoretical studies. This study also evidenced the need for more AI research in engineering education, with a focus on sustainability to promote more comprehensive education.

Keywords: Artificial intelligence; Engineering education; Digital transformation; High education (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-72494-7_11

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DOI: 10.1007/978-3-031-72494-7_11

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