The Impact of Artificial Intelligence-Based Personalized Learning Systems on the Cognitive Ability Enhancement of Children With Special Needs

This study explores the impact of artificial intelligence (AI)-based personalized learning systems on the cognitive development of children with special needs in China. Through a 12-month longitudinal experiment involving 360 participants, the research demonstrates significant improvements in attention, memory, and problem-solving skills compared to traditional methods. The AI system, integrating multimodal data and adaptive algorithms, induced neuroplastic changes in key brain regions, with effects varying by disorder type (e.g., attention deficit hyperactivity disorder, autistic spectrum disorders). Results revealed a dose-response relationship between system usage and cognitive gains, highlighting optimal training thresholds. The findings support AI's potential in special education while addressing challenges like resource equity and teacher adaptability. The study provides empirical evidence for optimizing AI-driven interventions to enhance learning outcomes for children with cognitive disabilities.