Integrating Artificial Intelligence into Support Education Rooms

Abstract

In the digital era, educational systems are undergoing a structural transformation driven by technological innovation, reshaping every stage of learning—from instruction to assessment. A key component of this transformation is the integration of artificial intelligence (AI) systems into educational environments. AI functions as an assistant for teachers and a learning companion for students, enhancing flexibility, personalization, and interactivity in the learning process. This study investigates the potential impacts of AI assistants on diverse student profiles within Support Education Rooms. Using a scenario-based analytical framework, the research explores how AI tools can be effectively implemented for five student groups: those with dyslexia, autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), visual impairments, and giftedness. The methodological approach follows a practice-oriented recommendation model developed through a comprehensive literature review. The analysis suggests that AI-based tools may offer varying levels of benefit depending on the student profile. For instance, speech recognition and text-to-speech technologies can improve reading fluency among students with dyslexia, while social interaction simulators may enhance communication skills for students with ASD. Accessibility applications foster independent learning for visually impaired students, and task management assistants can extend attention span in learners with ADHD. Moreover, adaptive AI tutoring systems provide enriched, self-paced learning experiences for gifted students.