MindPop: An AI-Driven Gamified Learning Platform for Children with ADHD

心理学 心理干预 认知 控制(管理) 注意缺陷多动障碍 人机交互 计算机科学 应用心理学 注意力缺陷 执行职能 干预(咨询) 知识管理 学习障碍 教育游戏 光学(聚焦) 认知心理学 适应性学习 行为改变 教育技术 适应(眼睛) 多媒体
作者
Shivani Shashidhar,Shilpi Biswal,Tanvi Sontakke,Soumili Biswas,Sudipta Banerjee,AP Rajan
标识
DOI:10.1109/icicis65613.2025.11371266
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.
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