Smart Education in the AI Era: Trends and Innovations in Personalized Learning in Islamic Schools



Authors (s)


(1) * Muh Noval Fuaddillah   (Universitas Nurul Jadid)  
        Indonesia
(*) Corresponding Author

Abstract


This study examines trends and innovations in personalized learning based on artificial intelligence (AI) in the context of Islamic education in Islamic boarding schools (pesantren). The primary objective of this study is to identify the impact of AI technology implementation on the teaching and learning process, teacher work efficiency, and infrastructure challenges faced in implementing smart education. Using a descriptive qualitative approach, data was collected through interviews with asatidz (Islamic teachers), Islamic boarding school principals, and other stakeholders. The study results indicate that the use of AI can adapt learning materials to the needs and abilities of each student, thereby increasing engagement and motivation to learn. Furthermore, teachers experienced increased work efficiency through automated systems for assessing and monitoring student progress. However, the implementation of this technology remains hampered by infrastructure constraints such as a lack of digital devices, unequal internet access, and minimal training for educators. This study concludes that AI has significant potential to revolutionize learning in Islamic boarding schools, provided it is supported by technological readiness and increased human resource capacity. The implications of this study highlight the need for strategic policies to accelerate the equitable and sustainable digitalization of Islamic education in the AI era.

Keywords

Artificial Intelligence, Smart Education, Personalized Learning.



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