Research on the Reconstruction of Inclusive Education Models and Enhancement of Resource Efficiency Empowered by Big Data in Special Needs Education

Abstract

This study systematically explores the practical pathways of big data technology in innovating inclusive education models and optimizing resource allocation within the field of special needs education. Through empirical research on innovative practices at a special education industrial institute in Southwest China, it reveals the construction logic of a data-driven special education system. The research finds that
big data technology not only restructures personalized teaching support systems but also establishes dynamic resource allocation mechanisms,
effectively resolving the supply-demand mismatch prevalent in traditional special education. The findings hold significant reference value for
advancing the digital transformation of special education and achieving educational equity.