Data-Driven Solutions Enhancing Adaptive Education Through Technological Innovations for Disability Support
Sevinthi Kali Sankar Nagarajan, Munikrishnaiah Sundara Ramaiah, Pawan Whig
Abstract
This chapter explores the transformative role of data-driven solutions in advancing adaptive education for students with disabilities. This chapter examines how advanced data analysis techniques enable the creation of personalized learning environments tailored to individual needs and challenges. Key topics include innovative data collection methods, such as learning analytics and behavioral data, and their application in designing customized educational tools and strategies. The chapter also presents real-world case studies showcasing the successful use of data-driven approaches to enhance accessibility and inclusivity in educational settings. By providing a comprehensive analysis, this chapter underscores the potential of data-driven solutions to improve educational outcomes, foster equity, and create more effective support systems for students with disabilities.