An Artificial Intelligence-Based Interactive Learning Platform to Assist Visually Impaired Children in Learning Mathematics
Document Type
Conference Proceeding
Publication Date
1-1-2023
Abstract
Visually impaired children mainly depend upon hearing and touch in the absence of vision. Smartphones are now relatively cheap and are in widespread use in almost all parts of the world, including by many people who do not have access to laptops or desktop machines. Smartphone-based applications provide a learning environment in which visually impaired children can enhance their educational skills in a similar way to other students. This paper introduces an artificial intelligence-based interactive learning platform that can enhance the mathematical skills of visually impaired children. This platform can assist teachers in the classroom to provide accessible and interactive materials to their visually impaired students. The proposed platform uses text-to-speech along with vibrotactile and auditory feedback to help visually impaired students arrive at a better understanding of mathematical material. Four participants were recruited to evaluate the prototype of this interactive learning platform. The results showed that understanding of mathematical content in visually impaired children was significantly improved. Furthermore, problem-solving skills and action awareness were enhanced with the help of a multimodal feedback approach. Participants also reported high levels of satisfaction with the proposed design. The paper concludes with a discussion of possible directions for future research aimed at overcoming barriers to learning faced by visually impaired children.
Publication Title
Communications in Computer and Information Science
First Page Number
366
Last Page Number
373
DOI
10.1007/978-3-031-35992-7_51
Recommended Citation
Shoaib, Muhammad; Jiang, Shiyu; Jin, Luo; Fitzpatrick, Donal; and Pitt, Ian, "An Artificial Intelligence-Based Interactive Learning Platform to Assist Visually Impaired Children in Learning Mathematics" (2023). Kean Publications. 307.
https://digitalcommons.kean.edu/keanpublications/307