AI-Driven Engineering Framework for Smart Technology Management, Behavioural Analysis, and Inclusive Education in Autism Support
Abstract
Researchers increasingly recognise Artificial Intelligence (AI) as an innovative technology that supports inclusive education for individuals with Autism Spectrum Disorder (ASD). This paper presents a holistic AI-driven engineering and smart technology management framework that integrates machine learning (ML), computer vision, Internet of Things (IoT), wearable biosensors, robotics, virtual reality (VR), and privacy-preserving artificial intelligence into a unified socio-technical architecture for behavioural analysis and personalised educational support. Rather than reporting a completed implementation, the proposed framework synthesises existing evidence to show how these technologies can integrate to support future intelligent classroom environments.
The proposed framework aims to integrate multimodal sensing and AI-assisted decision support to facilitate continuous behavioural monitoring, adaptive instructional recommendations, and personalised intervention strategies while maintaining teacher autonomy and promoting responsible AI governance. Prior work shows that computer vision, wearable sensing, robotics, and VR each offer useful capabilities to enhance behavioural understanding, social engagement, and individualised learning experiences for autistic learners.
The framework also calls for participatory design, ethical governance, transparency, and collaboration with autistic people, educators, families, and clinicians to help ensure future applications are neurodiversity-affirming. This work provides a practical foundation for future implementation, empirical validation, and continued innovation in AI-enabled inclusive education by integrating independently validated technologies into a single engineering blueprint.
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