Artificial Intelligence in Arabic Language Education: Strategic Innovations and Challenges in Islamic Boarding Schools
Keywords:
Analysis Arabic Grammar, Learning difficulties, Arabic grammar., Arabic Pedagogy in Islamic Boarding Schools, Natural Language Processing (NLP) for Arabic Learning, AI-Driven Adaptive Learning in Pesantren, Hybrid AI-Traditional Teaching ApproachesAbstract
The rapid advancement of Artificial Intelligence (AI) has significantly transformed language education, offering personalized learning, automated feedback, and adaptive instruction. However, the integration of AI in Arabic language education within Islamic boarding schools (pesantren) remains underexplored, particularly concerning its alignment with traditional pedagogy. This study examines the strategic adoption of AI-driven tools, such as Natural Language Processing (NLP) chatbots, automated pronunciation assessment, and adaptive learning algorithms, within pesantren settings. Utilizing a qualitative research approach, data were collected through semi-structured interviews, focus group discussions, and classroom observations at Pondok Pesantren Darullughah Wadda’wah (Dalwa). The findings reveal that AI enhances students' pronunciation accuracy, vocabulary retention, and speaking confidence. However, technological limitations, educator readiness, and pedagogical resistance present challenges to AI adoption. This study highlights the necessity of a hybrid learning model that integrates AI with traditional teaching methodologies to preserve the authenticity of classical Arabic pedagogy. Future research should focus on the long-term cognitive and affective impacts of AI on Arabic language learning in pesantren, ensuring culturally adaptive AI solutions that align with Islamic educational values..
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