The image provides an overview of AI-driven assistive technologies designed to enhance special needs education.

ü  Intelligent Tutoring Systems (ITS): Offers personalized learning pathways for students with learning disabilities using tools like ALEKS and Q-interactive (79%), with facial expression recognition to identify emotional cues, supporting students with social communication challenges via chat robots and facial analysis tools.

ü  Speech Recognition Tools: Facilitates communication and accessibility for students with speech disorders using AAC devices and Stamura.

ü  Adaptive Learning Systems: Tailors educational content to individual learning needs with platforms like Carnegie Learning and Notebook, incorporating blended learning models to enhance independence and inclusivity, especially for conditions like AICOD and DYSXA (apps 30-84).

ü  Interactive Robots: Provides interactive learning experiences for students with social communication difficulties using AACDD and DYSKA apps.

ü  Virtual and Augmented Reality (VR/AR): Creates immersive learning environments for students with disabilities, utilizing tools like Google Glass and Augmenta fly apps, along with AI-driven accessibility features and Braille devices to promote independence and inclusivity.