Data Analysis and Machine Learning in AI-Assisted Special Education for Students With Exceptional Needs
Sakalya Mitra, D. Lakshmi, Vishnuvarthanan Govindaraj
Abstract
Artificial intelligence and related technological advancements have been a matter of discussion in recent times. There has been regular growth in AI-based methods that have proven useful for various industry verticals. Education is one such critical field where AI can play a monumental role in improving quality and helping individuals strive for better education. Meeting the educational requirements of all children, adolescents, and adults has received more attention in recent years. Recent advancements in technology, such as data analysis and ML, can potentially revolutionize how we approach special education. By using these technologies to personalize learning experiences, track progress, and provide individualized support, educators can improve outcomes for students with special needs. With the right approach, data analysis and ML can be powerful tools for improving special education and supporting students with special needs. The main idea of the study is to outline in detail the various applications of AI-assisted special education and discover the depths of the methods.