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Designing an AI-Powered E-Learning System to Support Emotional Regulation in Children with Autism

Authors

Maxwell Palance 1 and Austin Amakye Ansah 2, 1USA, 2The University of Texas at Arlington, USA

Abstract

Students with Autism Spectrum Disorder (ASD) face unique challenges in traditional and online coding education [5]. While existing platforms offer authentic programming exercises, they often fail to address the neurodiverse learning needs of these students. This paper proposes an AI-powered e-learning platform, CODEversity, designed to offer an engaging and gamified coding education experience [6]. Built using Flutter and Firebase, the platform integrates real-world coding exercises with interactive visual and auditory feedback to foster positive reinforcement. A chatbot assistant powered by large language models helps guide students in course selection based on their interests and progress. The system also incorporates a dynamic quiz program, utilizing a tree-based course roadmap and practical coding exercises executed via a sandboxed Python environment [7]. A robust course builder ensures seamless course creation, validation, and updates without data loss. By prioritizing engagement and inclusivity, CODEversity aims to make coding education accessible and enjoyable for neurodiverse learners.

Keywords

E-learning, Neurodiversity, Autism, Programming, AI Assistant