Biomimetic Learning Design in the Artificial Era

The development of brain-based digital technology is being driven by technology innovation and neuroscience, with potential applications in education. The fields of educational neuroscience, neuro-education, and brain-based education have emerged to explore the role of the brain in teaching and learning. This collaboration between education and neuroscience has been further enhanced by the emergence of Critical Neuroscience, which examines the sociocultural and contextual aspects of scientific research. Technology is seen as a related discipline that can contribute to the exploration of brain-based learning. The collaboration between neuroscience and education is being reshaped by the emergence of bio-educational technology field of research. The integration of technology into education needs to be carefully regulated to ensure it is student-centered and guided by educational strategies. The principles of biomimetic learning design, which include personal differentiation, adaptive modifiability, developmental discontinuity, interaction and integration, and implicit support, can be applied to digital and artificial learning environments. This approach aims to personalize and adapt learning experiences, support self-regulation, and integrate explicit and implicit learning.