The Use of Artificial Intelligence to Enhance Arabic Language Skills in Understanding Prophetic Sunnah Texts

The rapid advancement of artificial intelligence (AI) has significantly transformed language education, including the teaching and learning of Arabic, which plays a pivotal role in accessing Islamic texts such as the Sunnah of the Prophet. However, mastering the four fundamental language skills (listening, speaking, reading, and writing) remains a major challenge, particularly among non-native speakers (NNAS) aiming to comprehend classical and context-rich Hadith texts. This study aims to explore the potential of AI in enhancing Arabic language proficiency to improve comprehension of Sunnah texts. A qualitative research design was employed, involving content analysis of selected AI-based tools like automated translation software and natural language processing (NLP) applications (e.g., alminasa.ai, usul.ai). The study specifically analysed three authentic Hadith texts related to dhikr and du'a from Sahih Muslim, benchmarking the translations generated by the AI platform usul.ai against the established translations found in Kitab Perisai Muslim. The findings indicate that AI applications contribute positively to the development of vocabulary, grammatical accuracy, contextual understanding of Hadith, and interactive speaking practice. Crucially, the AI demonstrated high fidelity, delivering semantically reliable, near-reference translations of the core dhikr and du'a texts. Theoretically, these accurate translations act as adaptive scaffolding (Constructivist Learning Theory), which enhances the learner's perceived usefulness of the technology (Technology Acceptance Model, TAM). The study concludes that AI holds promising potential as an effective, immediate supplementary instructional tool in modern Islamic education, accelerating NNAS access to and contextual comprehension of Islamic sources.

Arabic Language Skills, Artificial Intelligence

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