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This article provides an insightful exploration into the burgeoning field of Artificial Intelligence (AI) in the domain of Arabic language learning. With the rapid advancements in AI technologies, there has been a notable surge in interest and research focusing on its application within language education, particularly for less commonly taught languages like Arabic. This paper synthesizes the current state of AI in Arabic language learning, discussing various AI-driven approaches, tools, and applications employed in this domain. Furthermore, it highlights the challenges and opportunities encountered, and proposes future directions for harnessing AI to enhance Arabic language acquisition and proficiency. This article delves into the existing landscape of AI applications in Arabic language learning. It discusses the utilization of AI-driven techniques such as Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) in developing intelligent tutoring systems, language learning platforms, and educational games tailored for Arabic learners.
Rashad Seyidov (Thu,) studied this question.