Abstract

Introduction: The vertiginous growth of Artificial Intelligence (AI) is present in all fields including the University, implying a rethinking of pedagogical processes that has to be seen from the technoetic to give way to new ways of learning and personalizing learning. Method: this research is of qualitative perspective from the Grounded Theory of systematic design. For the analysis, AI was established as the central category, then open coding was established to give way to axial coding. Phases: 1) theoretical sampling, 2) constant comparison based on axial coding, 3) synthesis and paradigmatic reinterpretation. Results: After the review of the scientific literature reaching theoretical saturation, 3 elements were identified that should accompany the current critical and analytical debate: 1) AI and pedagogy, 2) AI in university educational practice, 3) AI and technoethics. Discussion: there is a need to create knowledge about application, possible impact and effects of AI in the university. Any review on AI should be done from the technoethical to give way to a technodidactics that allows progress towards digital transformation and the promotion of technological humanization. The University must respond to the new scenario presented by AI.

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