Evolutionary Learning as an Adaptive and Intelligent Training Model

Abstract

This study analyzes the concept of evolutionary learning as an adaptive and intelligent training model aimed at addressing contemporary educational challenges characterized by uncertainty, complexity, and technological acceleration. The research was conducted using a mixed and sequential methodological approach, integrating diagnostic analysis, pedagogical design, and experimental validation with higher education students. The model proposes a dynamic structure based on iterative cycles of feedback, self-regulation, personalization, and informed decision-making through learning analytics. The results show statistically significant improvements in autonomy, metacognition, academic performance, and knowledge transfer. In addition, patterns of progressive adaptation were observed, in which students adjusted learning strategies according to context and task type. It is argued that evolutionary learning represents a viable pathway for the development of cognitive and socio-emotional competencies in future-oriented educational systems.