Adapting Artificial Intelligence to Enhance Arabic Language Education: Strategies and Prospects

Abstract

      Arabic language education is undergoing a radical transformation with the rise of artificial intelligence (AI) technologies. This research aims to explore how AI can be harnessed to enhance the learning and teaching of Arabic, primarily focusing on non-native speakers

    The research reviews current applications such as adaptive platforms, intelligent teaching systems, and speech analysis tools, and analyzes strategies for their effective integration into the educational environment. It also discusses the unique challenges facing Arabic, such as dialectal diversity and morphological complexity, and proposes future prospects based on large-scale linguistic models and multimedia learning.

       The research concludes that AI holds great promise for the future of Arabic education, provided that integration is guided by a conscious and ethical pedagogical methodology that enhances the human role of the teacher, to achieve more personalized, inclusive, and effective education.