INTEGRATING ARTIFICIAL INTELLIGENCE IN ARABIC LANGUAGE LEARNING: CHALLENGES AND OPPORTUNITIES

Abstract

The integration of artificial intelligence (AI) in Arabic language learning represents a rapidly evolving field with significant potential to transform educational practices. This article provides a comprehensive analysis of current AI applications, challenges, and opportunities in Arabic language education. Through systematic examination of recent literature, we identify key technological developments including natural language processing tools, speech recognition systems, automated assessment platforms, and intelligent tutoring systems. Major challenges include data scarcity for Arabic dialects, morphological complexity, evaluation inconsistencies, and infrastructure limitations. However, substantial opportunities exist for multimodal adaptive tutors, enhanced speech recognition, and personalized learning systems. The analysis reveals that while task-level AI applications show promising results, rigorous pedagogical evaluation and large-scale implementation studies remain limited. Future research should prioritize dialectal diversity, pedagogically-informed design, and comprehensive effectiveness studies to realize the full potential of AI in Arabic language education.