Open-access Artificial intelligence: between innovation and paradigm shift in universities

Abstract

An analysis of artificial intelligence and how it can trigger effects in the university context is presented. For this study, a qualitative perspective is assumed including Grounded Theory to generate a theory that helps to understand the analyzed process. The axial coding allowed orienting the points of analysis from pedagogy, university practice and technoethics, concluding that the implications of artificial intelligence in the university are diverse and that it is necessary to advance towards a training model that, from the critical analysis, can ensure the transition from digital literacy to digital culture.

Keywords: artificial intelligence; training; teaching profession; university

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Instituto Superior de Formación Docente Salomé Ureña
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