作者
Shivani Shashidhar,Shilpi Biswal,Tanvi Sontakke,Soumili Biswas,Sudipta Banerjee,AP Rajan
摘要
Attention Deficit Hyperactivity Disorder (ADHD) affects a child's ability to focus, retain information, and engage in structured learning environments, thus making conventional educational and therapeutic methods insufficient to accommodate their unique cognitive and behavioral needs. Gamified learning has emerged as a promising solution, using interactive and adaptive games to improve focus, engagement, and learning outcomes. This review explores existing gamified interventions for children with ADHD, examining their theoretical foundations, methods, and effectiveness. It also introduces MindPop, an innovative web-based platform that integrates artificial intelligence (AI), machine learning (ML), computer vision, and data analysis to customize learning experiences. MindPop dynamically adjusts game difficulty based on a child's attention and focus patterns, tracks engagement, and provides tailored support. The review also highlights research on how gamification can improve executive function, working memory, and impulse control in children with ADHD. While gamified learning has shown great potential, several challenges remain, including accessibility, age-appropriate design, balancing therapeutic and diagnostic goals, and ensuring long-term engagement without overuse – issues that MindPop aims to address. By combining findings from recent studies, this paper provides insights into the best practices for developing effective gamified learning applications, with the goal of expanding MindPop to support children with other neurodivergent conditions in the future.