Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12323/7752
Title: Building IOS App for Language Learning
Authors: Muradkhanli, Leyla
Samadova, Ilaha
Keywords: IOS
Language Learning
Swift
Xcode
Issue Date: 2024
Publisher: Khazar University Press
Series/Report no.: Vol. 8;Khazar Journal of Science and Technology, № 1
Abstract: This paper presents the development of an iOS app for language learning, aimed at enhancing user experience and engagement. The app is designed to facilitate language learning by providing definitions, vocabulary lists, and pronunciation practice in a mobile platform. The app was developed using Swift programming language and integrated with a cloud-based server to enable real-time data synchronization and user tracking. The study conducted an evaluation of the app's user experience and engagement through a usability test and user survey. Results showed that the app is effective in enhancing language learning experience and user engagement, particularly in its interactive and personalized approach. The app's design was carefully crafted to ensure that it is easy to use, engaging, and interactive. The user interface (UI) was designed to be intuitive, allowing users to navigate the app with ease. The app's color scheme and typography were chosen to be visually appealing and consistent with modern design trends. Additionally, the app's design was optimized for different screen sizes, ensuring that it looks great on all iOS devices. Overall, the development of the iOS app for English language learning with embedded definitions was a significant undertaking that involved a wide range of considerations. The app's features, design, and technological advancements were carefully crafted to provide a comprehensive learning experience for English language learners. With its embedded definitions, sample sentences, and pronunciation exercises, the app is an effective tool for improving users' vocabulary and comprehension skills.
URI: http://hdl.handle.net/20.500.12323/7752
ISSN: 2520-6133
Appears in Collections:2024, Vol. 8, № 1

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