AI in inclusive education which differences in research trend

Abstract

In modern education systems, inclusive education is an approach that aims to meet the different needs of all students, especially those from underrepresented groups, by ensuring everyone has fair access to good education. It sees the value in every child and creates a setting where differences are accepted and appreciated. Artificial intelligence (AI) can change how we learn, especially in the area of inclusive education. Using AI technologies is important to meet students’ different needs, particularly those with disabilities. Studies show that AI can create personalized learning by adjusting content to fit individual needs and giving quick feedback with smart tutoring systems. Additionally, using AI in teaching methods can improve engagement for students from underrepresented groups, which helps combat existing gaps in educational success. However, even with the increasing recognition of AI’s advantages, challenges like poor infrastructure and lack of teacher training remain, making it hard to implement effectively. The manuscript’s aim is to analyse the trend of publication research. Mainly, the manuscript focuses on analyzing the paradigm that is used in research when academicians treat arguments about AI inclusion and Education. The results will create an opportunity for future discussion on the effects of AI on inclusive education, looking at both the possibilities it offers and the obstacles that need to be addressed to build fair learning environments for every student.