Leveraging AI-Assisted Coding Tools in Engineering Education: Promise and Pitfalls in Software Development
Bento, A.C.; Barretto,M.R.P.; Silva, J.R.; Camacho-León, S.; Torres-Torres, E.; Vasquez-Hurtado, V.
- Journal
- Journal of Systems Engineering and Electronics
- Autor
- Bento, A.C.; Barretto,M.R.P.; Silva, J.R.; Camacho-León, S.; Torres-Torres, E.; Vasquez-Hurtado, V.
- Book Title
- Volume
- 35
- Página(s)
- 26-34
- DOI
- Published
- 2025
- Month
- Tipo de Documento
- Artigo em Revista
- Abstract
- This study investigates the pedagogical impact of AI-assisted programming tools (e.g., GitHub Copilot, ChatGPT) in a university software construction course. A 10-week case study with 25 engineering students developing a CRM system revealed 30-40% time savings in prototyping and debugging. However, maintaining code quality requires systematic human oversight. The findings contribute a framework for balancing AI automation with traditional pedagogy, supporting Sustainable Development Goal 4 by outlining strategies for equitable and effective AI integration in engineering education. A student opinion survey showed 96% satisfaction with the AI - assisted learning experience.
- Keywords
- Publisher
- Elsevier
- URL