This study investigates the current applications and future prospects of artificial intelligence (AI) in Arabic language education, highlighting its transformative potential across multiple domains. Core technologies explored include AI-powered chatbots for interactive learning, intelligent tutoring systems that provide adaptive, personalized instruction, speech technologies supporting pronunciation training and oral proficiency, and automated learner output analysis for real-time feedback and assessment. The pedagogical benefits identified encompass personalized learning experiences, immediate corrective feedback, increased learner motivation, and expanded access for remote and underserved communities. However, challenges remain, particularly regarding Arabic’s dialectal variation, complex morphology, and the limited availability of high-quality linguistic resources. The study also outlines future directions involving large language models, multimodal learning environments, augmented reality applications, and human-AI collaborative teaching, emphasizing the need for interdisciplinary collaboration across linguistics, artificial intelligence, education, and cognitive science. Overall, AI offers substantial promise for enhancing the effectiveness, accessibility, and cultural relevance of Arabic language education, provided that its integration is guided by ongoing research, ethical considerations, and pedagogically sound practices.
Rahem Samiya (Wed,) studied this question.
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