Enseñar e investigar con inteligencia artificial: una llamada a la reflexión
[EN] Generative artificial intelligence (GenAI) is radically transforming universities, impacting their core functions: teaching, research, management, and services. The widespread integration of language models such as ChatGPT and Claude presents new opportunities for automating cognitive tasks, bu...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/225767 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/225767 |
| Access Level: | acceso abierto |
| Palabra clave: | Generative artificial intelligence AI-driven university AI literacy Inteligencia artificial generativa Universidad impulsada por IA Alfabetización en IA ChatGPT |
| Sumario: | [EN] Generative artificial intelligence (GenAI) is radically transforming universities, impacting their core functions: teaching, research, management, and services. The widespread integration of language models such as ChatGPT and Claude presents new opportunities for automating cognitive tasks, but also raises ethical, epistemological, and pedagogical challenges. In teaching, the intensive use of these tools by students —exceeding 85%— calls for a redefinition of educational practices, as negative effects such as cognitive debt and intellectual sedentarism are beginning to emerge. This situation demands new strategies for AI literacy, adapted assessment models, and critical teacher training. In research, although GenAI is not yet fully established, it already plays roles in writing, translation, analysis, and code generation. However, unsupervised use can compromise scientific integrity and publication quality. The current context calls for rigorous reflection and constructive proposals on how to ethically integrate AI into academia —precisely the aim of the BiD journal’s special issue— which invites contributions exploring the contours, risks, and possibilities of this new AI-driven university. |
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