Artificial Intelligence and Neuroeducation: Enhancing Education for Students or Patients with Albinism

Abstract

This article investigates how artificial intelligence can support the inclusive education of students and patients with albinism, a genetic condition that manifests itself in visual deficits and cognitive challenges. Starting from a systematic synthesis of specialist studies and a case study of some AI platforms already in use, we aim to identify technologies capable of personalising teaching materials and adjust digital interfaces according to the visual and mental needs of the beneficiaries. The analysis reveals that while these tools can provide adaptive content and real-time feedback, their effectiveness depends on fine-tuning the parameters for the particularities associated with albinism. Furthermore, we argue that integrating neuroscientific perspectives, particularly those on neural plasticity and attentional processes, in the design of AI solutions can lead to truly personalised educational strategies. We conclude that the responsible adoption of artificial intelligence in inclusive environments requires careful reflection on the ethical and neuro-educational implications to guarantee an equitable and effective learning experience.