La inteligencia más allá de lo artificial: un enfoque sociocultural para la educación en ingeniería y computación
Artificial intelligence (AI) arises in a social, political, and cultural context with individual, collective, and global transformations, which permeate educational systems and processes. Although AI technological tools have been generated for work environments, a few years ago they entered training processes, and they are here to stay. Engineering and computing education is no exception here, as stated and addressed in this article. This global phenomenon has generated uncertainties, anxieties, challenges, and endless questions, even the consideration of the possibility that all artificial intelligence tools threaten the existence of the human species. However, these kinds of concerns precisely emerge when the primary focus is placed on the design and programming of the tool per se, while contextual, social, and cultural aspects of educational processes, elements that must also be addressed in the training of engineering and computing professionals, are sidelined. As a result of reflection and the findings of a scoping review of articles published between 2023 and 2024, together with the teaching experiences of the authors, a sociocultural approach to AI teaching in engineering and computing training is proposed, made up of the cognitive, situated and critical dimensions.
Authors
- Santiago Ojeda-Ramírez (ORCID: https://orcid.org/0000-0003-2044-7486)
- Jonathan Álvarez Ariza (ORCID: https://orcid.org/0000-0002-4024-1349)
- Milena Benítez-Restrepo (ORCID: https://orcid.org/0000-0003-1744-6749)
- Carola Hernández Hernández (ORCID: https://orcid.org/0000-0002-4062-9140)
Institutions
- University of California System (US)
- Corporación Universitaria Minuto de Dios (CO)
- Universidad del Valle (CO)
Publication Details
- Journal
- Voces y Silencios Revista Latinoamericana de Educación
- Published
- 2025-05-31
- DOI
- https://doi.org/10.18175/vys16.2.2025.3
- Primary Topic
- Educational Innovations and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00