Flight training of the future: Emerging learning in simulated environments mediated by artificial intelligence

Abstract

This article analyzes the relevance of emergent learning in aeronautical training mediated by Artificial Intelligence (AI). Based on an interpretive paradigm, a qualitative approach, a documentary design, and a hermeneutic methodological perspective, the study examines how advanced simulation redefines traditional technical instruction. The work addresses core themes linked to experiential learning, where AI acts as a dynamic scaffold that facilitates the management of complex contingencies in safe environments, thereby optimizing decision-making. Furthermore, it discusses sociocultural mediation, recognizing technology as a tool that personalizes the training process and expands the student's zone of proximal development. It is concluded that knowledge emerges from the systemic interaction between the pilot and the cockpit’s technological ecosystem, which demands a humanistic approach to the challenges of automation. Finally, the study systematizes the need to integrate technical efficiency as an innovative and dialogical pedagogical praxis with high social relevance in the contemporary aeronautical environment