Development of a Web-Based Kasem Language Learning System

Owagu Ugochukwu Franklin *

Department of Information Systems and Technology, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

Abdul-Mumin Selanwiah Salifu

Department of Information Systems and Technology, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

Peter Awonnatemi Agbedemnab

Department of Information Systems and Technology, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

*Author to whom correspondence should be addressed.


Abstract

The concept of language involves using words in an organized and traditional way, be it through speaking, writing, or gesturing, as a means of human communication. The inability to communicate efficiently in a specific language is known as language barrier. Such limitation can result in difficulties performing everyday tasks and create challenges on a global levels, such as when businesses move to other nations or on a local level, like when a family or student moves to a region where English is not the primary language. The effects of linguistic barriers can negatively impact the quality of life for everyone involved, regardless of the context. In this paper, the researchers have designed and implemented a web-based Kasem language learning system (KLLS). The technology provides audio output, with corresponding text in the Kasem language to the end user, allowing them to study and become fluent in it. High-level Python web framework, Django, was used to develop and implement the system. Finally, a series of tests were conducted by different levels of users. Each end user reported a high level of satisfaction with the system after navigating through and receiving a clear audio output.

Keywords: Kasem language learning system (KLLS), linguistic, kasem system, web-based system, communication, language barriers


How to Cite

Franklin , Owagu Ugochukwu, Abdul-Mumin Selanwiah Salifu, and Peter Awonnatemi Agbedemnab. 2023. “Development of a Web-Based Kasem Language Learning System”. Asian Journal of Research in Computer Science 16 (1):28-36. https://doi.org/10.9734/ajrcos/2023/v16i1332.

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