SignMath: Enhancing Mathematical Skills for HearingImpaired Students through Interactive Sign Language Learning

Abstract

This research paper explores the development and impact of SignMath, a groundbreaking web application designed to address the unique challenges faced by deaf children in their mathematics education. With a significant population of deaf children and a prevalence of illiteracy, there is an urgent need for inclusive educational solutions that cater to their specific needs. SignMath integrates sign language, machine learning, and interactive learning materials to create an accessible and engaging mathematics learning environment. By leveraging visual aids, personalized learning features, and the seamless integration of sign language with mathematical concepts, SignMath aims to improve numeracy skills and promote inclusivity for deaf children in primary education. The paper discusses the design and development process of SignMath, highlighting its innovative features and pedagogical approach. Furthermore, an evaluation of Sign Math's effectiveness and usability is presented, showcasing its potential to enhance mathematical understanding, and learning outcomes for deaf children. The research paper concludes by emphasizing the significance of SignMath in promoting equitable access to quality mathematics education and fostering the educational success of deaf children in Sri Lanka.