Algorithmic Artificial Intelligence: An Approach for Actors in University Education

Inteligencia Artificial Algorítmica: Una aproximación para los actores de la educación Universitaria

Abstract

The foundation of this research was the need to integrate Algorithmic Artificial Intelligence into university education to adapt to new technological trends. The objective was to generate a theoretical approach on how to achieve this integration. The methodology used was based on the interpretive paradigm, under a qualitative approach and phenomenological method. Key informants were managers, facilitators, and participants from the education program at the National Experimental University Simón Rodríguez. In-depth interviews were applied, and the information was analyzed using the hermeneutical-critical method. The most relevant results indicate that Algorithmic Artificial Intelligence (AAI) provides unprecedented opportunities to adapt education, enabling personalized learning experiences, remote access, use of virtual/augmented reality, and analysis of student behavior. In conclusion, it is proposed to train students and teachers in Artificial Intelligence tools as a complement in educational research to improve learning, adopting it responsibly and ethically, preserving the fundamental values of human-centered education.