A Review: Study on Students Learning Disabilities Based on Education System Using Artificial Intelligence

Abstract

The application of artificial intelligence and machine learning techniques has grown significantly across all disciplines in recent years as a result of ever-increasing volume of data as well as changing demands of higher education, such as those related to digital education. In many countries around the world, learning disabilities (LD) are becoming a major problem that can even hinder performance progress. The endeavor of this work is to assist the specific program with systems administration in their assignment to accompany the norm. Nowadays, many different fields use machine learning to predict future outcomes. Predicting children's learning disabilities, as well as determining actual disability and how early it is detected, are among most useful applications of machine learning. This review article aims to comprehend work done on this field previously, up to this point and attempt to comprehend the holes in execution of the different AI models and the review depends on intelligent school system by artificial reasoning. Countless examinations validate that learning is worked with assuming showing systems are as per understudies learning styles, making the growing experience more compelling and further developing understudies exhibitions.