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Ethical and innovative integration of generative Artificial Intelligence in Higher Education: challenges and proposals for an institutional policy

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The article looks at the integration of technologies into teacher training at Higher School of Education Paula Frassinetti. Since 1999, Higher School of Education Paula Frassinetti has invested in technological infrastructures and participated in various research projects in Information and Communication Technologies, with the aim of transforming pedagogical practices and creating innovative learning communities. Recently, generative Artificial Intelligence has brought new challenges, requiring the definition of principles for its ethical and responsible use. The proposal to build an institutional Artificial Intelligence policy emphasises the need to involve students, teaching staff and collaborators in a collaborative process. For students, it is suggested to create classroom debates and collect data on the use of Artificial Intelligence tools. For teachers, we recommend collaborative reflection on the use of this technology in academic contexts and participation in experience-sharing sessions. For staff, the proposal includes reflection on the use of Artificial Intelligence in institutional processes and the collection of data on their competencies. The institutional Artificial Intelligence policy should be a living document, adaptable to technological changes and the needs of the academic community. Everyone’s participation is crucial to identifying potential or problems and finding innovative solutions. The collective construction of Artificial Intelligence policies will promote an educational environment that is more dynamic, inclusive and prepared for future challenges. The recommendations include promoting good practices, training students and teachers, and monitoring the use of this technology to ensure balanced and ethical integration.

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DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Ethical and innovative integration of generative Artificial Intelligence in Higher Education: challenges and proposals for an institutional policy
Date Crossref
09/04/2025
Éditeur
International Journal of Clinical Science and Medical Research
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les sujets associés

Engineering Education and TechnologyBig Data and Business IntelligenceArtificial Intelligence in Healthcare and Education

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