A Structured Adaptive Framework for Technology-Enhanced Cognitive Rehabilitation for Preadolescent Children.

Authors

  • Bhavya N PG- Department of Computer Applications, Dayananda Sagar College of Arts Science & Commerce, Bangalore, Karnataka. Author
  • Bargav S PG- Department of Computer Applications, Dayananda Sagar College of Arts Science & Commerce, Bangalore, Karnataka. Author
  • Kumudavalli M V Professor, Department of Computer Applications, Dayananda Sagar College of Arts Science & Commerce, Bangalore, Karnataka. Author

DOI:

https://doi.org/10.47392/IRJAEM.2026.0108

Keywords:

Framework, Cognitive, Rehabilitation

Abstract

Cognitive rehabilitation is widely used to improve memory, attention, and executive functioning in children with developmental and neurological conditions. The preadolescent i.e. age group of 8 to 15 years is particularly important, as this period involves significant cognitive growth and academic development. Although digital tools and serious games are increasingly applied in rehabilitation for this population, many existing systems lack structured adaptability and systematic evaluation methods. Most current solutions use fixed difficulty levels and limited personalization, which may reduce long-term effectiveness and engagement in children. This study proposes a structured adaptive framework for technology-enhanced cognitive rehabilitation systems specifically designed for children between the age group from 8 to 15 years. The framework integrates baseline cognitive assessment, adaptive progression mechanisms, performance monitoring, and structured feedback layers that are suitable for this developmental stage. The proposed model aims to provide a systematic approach for designing rehabilitation technologies that respond to individual performance levels and cognitive needs of school-aged children. Through comparative analysis of existing digital cognitive tools and framework validation using theoretical mapping and expert evaluation, this research aims to establish a structured model that enhances personalization, accessibility, and measurable cognitive outcomes for preadolescent children.

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Published

2026-04-06