A mobile e-learning application for enhancement of basic mathematical skills in visually impaired children

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Date
2023-03-17
Authors
Shoaib, Muhammad
Khan, Shakeel
Fitzpatrick, Donal
Pitt, Ian
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Publisher
Springer Nature Ltd.
Published Version
https://doi.org/10.1007/s10209-023-00990-3
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Abstract
Although smartphones are equipped with accessibility functions, they still pose significant problems for visually impaired people. Sometimes these functions cannot fulfil the expectations of users. Early mobile devices had physical buttons and a keypad, and visually impaired users could navigate around the keypad using the tactile markers on the buttons. However, the lack of tactile markers makes it much more difficult to operate a touchscreen device. This paper describes an e-learning platform that is designed to improve the accessibility of smartphone applications for students who are visually impaired but have some useful vision. A User-Centered Design approach was used to develop an effective solution for visually impaired students. A study was conducted during the development of the described platform, and the results showed that our suggested design improves task completion time as compared to the initial version. Participants also expressed higher levels of satisfaction when using the improved design of this platform. The modified design was also assessed using the Mobile Application Rating Scale (MARS), and the results indicate that it is quite reliable and rated well among visually impaired children. Furthermore, developers can use our suggested design guidelines such as clear navigation, color contrast, immediate feedback, icon arrangements, button and text size in the development of new applications.<
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Keywords
Smartphone , Visually impaired , Learning , Mathematical skills , Traditional mobile
Citation
Shoaib, M., Khan, S., Fitzpatrick, D. and Pitt, I. (2023) 'A mobile e-learning application for enhancement of basic mathematical skills in visually impaired children', Universal Access in the Information Society. https://doi.org/10.1007/s10209-023-00990-3
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https://hdl.handle.net/10468/15657
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Computer Science - Journal Articles
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© 2023, the Authors. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.