Teacher Perceptions of Deep Learning Models for Special Need Students in Inclusive Vocational Schools: A Fuzzy Logic Analysis

Abstract

This study investigated teacher perceptions of the Deep Learning model for students with special needs in a vocational school practicing inclusive education. Utilizing the fuzzy logic approach, data from teacher observations and surveys were processed. The research emphasized the critical role of Deep Learning model in addressing the challenges in inclusive education. Teacher insights are essential for enhancing the efficacy of the model in catering to the unique learning needs of special students. Understanding their perspectives contributes to the ongoing discourse on inclusive education, offering valuable insights for educators and policymakers striving to create more inclusive and equitable learning environments. This research contributes to the ongoing dialogue on inclusive education by shedding light on the practical implementation of the Deep Learning model for students with special needs in vocational education settings.