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Artificial Intelligence in Engineering Education: A Content Analysis

Author

Listed:
  • 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)

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.

Suggested Citation

  • Emilia Ahumada-Tapia & Macarena A. Alvarez-Rojas & Rosley Anholon & Tiago F. A. C. Sigahi & Carolina Rojas-Córdova & Izabela Simon Rampasso, 2025. "Artificial Intelligence in Engineering Education: A Content Analysis," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-72494-7_11
    DOI: 10.1007/978-3-031-72494-7_11
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