Study, design and implementation of customized digital support tools for students with dyslexia, using machine learning

Dyslexia is a neurodevelopmental disorder that significantly affects cognitive abilities, particularly in areas such as reading, memory retention, and attention span. Individuals with dyslexia often struggle with fluent reading, accurate word recognition, and spelling, which can impede their academic performance and self-confidence. Additionally, dyslexia commonly coexists with other neurodevelopmental disorders, such as autism spectrum disorder and attention-deficit/hyperactivity disorder. This comorbidity can compound learning challenges, making educational progress more complex and requiring a multifaceted approach to support. Early diagnosis is crucial, as numerous studies have shown that identifying dyslexia in childhood allows for timely intervention. Early interventions often enable children to access specialized tools and strategies that can alleviate or mitigate some of the difficulties they encounter in the classroom and daily life. However, in cases where diagnosis is delayed or missed entirely, individuals are left without formal support, which heightens the importance of alternative support tools and strategies to aid in their learning. To address these challenges, research efforts are increasingly focused on determining the most effective support mechanisms. One promising area is artificial intelligence, which has shown potential to transform the way dyslexia is diagnosed and managed. Artificial intelligence can provide precise, individualized assessments, which can then guide the creation of custom support tools tailored to each student’s unique needs and learning profile. However, most existing studies concentrate on adolescent students, often neglecting the unique challenges that university students with dyslexia face. In response to this gap, the VRAILEXIA project was founded. This initiative seeks to combine the immersive capabilities of virtual reality with the diagnostic and adaptive powers of artificial intelligence to develop innovative, personalized study aids. These tools are intended to address the specific needs of each student, helping them navigate their educational journey more effectively. This thesis will delve into the various studies conducted design methods to help dyslexic students, analyzing the methodologies used and discussing the insights and outcomes achieved. Through this exploration, the goal is to highlight the potential of artificial intelligence in creating a more inclusive and supportive educational environment for individuals with dyslexia