Artificial Intelligence to Strengthen Pedagogical Support for Students with Learning Disorders

Learning disorders present persistent challenges to educational systems, often requiring differentiated support mechanisms that exceed the capacity of traditional pedagogical models. Recent advances in artificial intelligence (AI) have introduced transformative possibilities for individualized, adaptive, and evidence-based interventions. This article examines how AI can enhance pedagogical accompaniment for students with learning disorders by integrating diagnostic precision, personalized learning trajectories, and continuous monitoring. Through a systematic review of current literature and analysis of applied case studies, the study highlights the potential of AI-driven tools such as intelligent tutoring systems, natural language processing, and predictive analytics. Findings suggest that AI not only complements the role of educators but also fosters inclusion, engagement, and academic growth in learners with dyslexia, dyscalculia, attention-deficit/hyperactivity disorder (ADHD), and other cognitive challenges. Recommendations are provided to guide future educational policies and practices in leveraging AI for inclusive pedagogy.