Transforming The Assessment Of Arabic Language Skills Through A Mobile Application Based On Artificial Intelligence

Abstract

The implementation of Artificial Intelligence (AI)-based mobile applications in Arabic language proficiency testing is undergoing a major transformation. This transformation offers increased efficiency and accuracy in language proficiency assessment with higher analytical capabilities. The use of big data has also become important in driving this change, as it can facilitate the training of AI models with large and complex datasets. In this study, the literature review method is used to examine relevant studies on the deployment of AI-based mobile applications in Arabic language assessment and their integration with big data. The purpose of this literature review is to gain a deeper understanding of the adoption and implementation of these technologies in the context of Arabic language education, as well as to identify the challenges and potential benefits associated with them.