Integrating Tomatis® Auditory Stimulation and AI-Powered Digital Tools in Inclusive Education: A Practical Framework for Students with Special Educational Needs

Abstract

Objectives: This paper proposes a practical framework for integrating Tomatis® auditory stimulation with AI-powered digital tools in inclusive education for students with special educational needs. It explores how auditory stimulation and digitally supported personalization can be combined to address attention, language, auditory processing, communication, and engagement challenges. Prior Work: The framework builds on the Tomatis® Method, inclusive education principles, and research on artificial intelligence, adaptive learning, accessibility, and personalized instruction. Approach: The proposed model is grounded in educational practice in a special-school context and uses observation, case-study methodology, and practical classroom experience. It follows a cyclical process comprising assessment, auditory stimulation, AI-supported learning activities, teacher monitoring, student progress review, and program adjustment. Results: Practice-based observations indicate improvements in attention, listening, participation, motivation, communication, and the teacher’s ability to personalize learning materials. Implications: The framework supports differentiated instruction while maintaining the teacher’s central role in decision-making and monitoring. Value: The paper contributes an integrated, flexible model linking auditory stimulation, AI-assisted educational resources, and continuous pedagogical adjustment for learners with special educational needs.