Data-Driven Approaches in Special Education: Future Trends and Implications

Abstract

Artificial Intelligence and Data Science are transforming education, enabling personalized tools for learning and research. Traditional approaches often fail for students with disabilities, while Artificial Intelligence offers solutions such as intelligent instructional systems and natural language processing tools that enable accessibility to New interactive communication devices as well as advanced, supporting individuals with speech or language disorders through predictive and multi-input features such as visual tracking and gesture recognition and Key challenges include achieving equal access, privacy and technical excellence. Ensuring that Artificial Intelligence innovation reaches underserved communities is important, as is involving teachers, students, and parents in the development process to improve morale and outcomes. Future trends, including virtual and augmented reality, promise immersive learning experiences tailored to different needs. Broader collaborations will be critical to creating inclusive educational environments that support lifelong learning for all students.