Computerized Cognitive Retraining Approach Integrating Personalized Activities and Machine Learning for Precision and Ethical Considerations
摘要
This review explores the empirical evidence on the effectiveness of computer-assisted cognitive retraining for children with Specific Learning Disabilities (SLD). These children generally have average or above-average intelligence but face considerable challenges with language processing. Cognitive retraining is a therapeutic method aimed at improving underdeveloped cognitive functions through repeated practice. Grounded in the theory of brain plasticity, the training aims to enhance cognitive skills through carefully designed exercises and tasks. It can be administered manually or through computer-based systems, with the latter being particularly engaging, innovative, multisensory, and motivating for children. The purpose of this review is to compile significant research in the area and evaluate the effectiveness of these interventions for SLD children. In countries like India, where the large population and shortage of trained therapists make it difficult to provide direct access to SLD children, manual interventions may not be a practical solution. Therefore, scalable approaches that can reach remote areas must be investigated. This review aims to establish a foundation for examining the potential of computer-assisted retraining as a viable solution for SLD intervention.