Enhancing IoT Engineering Education with AI: Evaluating GeminiAI's Impact on Embedded Systems Learning
Bento, A.C.; Torres-Torres, E.Y.; Camacho, L. Gonzalez, E.; Peña, R.; Silva, J.R.; Couto-Gatti, D.
- Journal
- Journal of Systems Engineering and Electronics
- Autor
- Bento, A.C.; Torres-Torres, E.Y.; Camacho, L. Gonzalez, E.; Peña, R.; Silva, J.R.; Couto-Gatti, D.
- Book Title
- Volume
- 35
- Página(s)
- 35-46
- DOI
- Published
- 2025
- Month
- Tipo de Documento
- Artigo em Revista
- Abstract
- The growing demand for artificial intelligence (AI) in data analysis, processing, and decision-making has prompted this study to evaluate the impact of integrating Google's GeminiAI platform into higher education engineering projects. Conducted at the Tecnologico de Monterrey (Monterrey, México) in collaboration with the Pontificia Universidade Católica de São Paulo and University São Paulo (Brazil), this research focused on supporting embedded systems and Internet of Things (IoT) projects, aligning with Sustainable Development Goal 4 (Quality Education). The study presents student-developed evidence and survey results on GeminiAI's integration into IoT projects. Findings revealed a 100% satisfaction rate among 59 participants across two study blocks, with 81% reporting an excellent experience and 19% a good experience. Notably, no students reported negative feedback. These outcomes highlight the platform's effectiveness in enhancing teaching quality, learning experiences, and student preparedness for the job market and future studies.
- Keywords
- Publisher
- Elsevier
- URL