INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ARABIC LANGUAGE LEARNING BASED ON LANGUAGE SKILLS

Abstract

The rapid development of Artificial Intelligence (AI) has brought significant transformation to language education, including the teaching of Arabic, which presents unique linguistic complexity. Several challenges commonly encountered in Arabic learning include limited teaching media, instructional methods that are not sufficiently adaptive to learners’ needs, and the lack of personalized learning approaches. This study aims to describe the application of AI in enhancing Arabic language instruction by analyzing its implementation within the four major competencies: listening (Istima’), reading (Qiraah), speaking (Kalam), and writing (Kitabah). The research employs a library research method through the analysis of academic documents, journal articles, and observations of various AI-based Arabic learning platforms. The results indicate that applications such as Talkpal, Suno.AI, Veed.io, Otter.ai, Google Lens, Almaany, Tashkeel, Duolingo, and Opexam provide more personalized, interactive, and automated learning experiences through features such as text-to-speech conversion, voice transcription, automatic error detection in writing and diacritical marks, conversation simulations, and structured assessment. The integration of AI has been shown to improve pronunciation accuracy, text comprehension, oral communication skills, and writing precision in accordance with Arabic linguistic conventions. Furthermore, AI assists teachers in preparing learning materials, conducting formative assessments, and monitoring student progress more efficiently. Therefore, AI contributes significantly to creating Arabic learning that is modern, flexible, effective, and more aligned with contemporary learner needs.