Using Artificial Intelligence and the FIRST Methodology to Develop Education in Islamic Sciences

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OumKeltoum Benyahia, Saeed Ahmed Saleh Farag, Amna Ali Al-Bashir

Abstract

In light of the unprecedented digital acceleration, developing Sharia science curricula and teaching methodologies has become essential to keep pace with digital advancements, artificial intelligence (AI) tools, and modern educational technologies that influence learning in Sharia colleges. This research explores integrating AI technologies with the FIRST methodology to enhance education in Sharia sciences. It examines how AI applications can be utilized to analyze Sharia texts, deduce rulings, and design innovative educational platforms based on intelligent interaction. Furthermore, the study highlights the role of the FIRST methodology in fostering deep learning by tailoring educational pathways to meet students' needs and enhancing group dynamics for a sustainable educational impact. The research adopts a descriptive-analytical approach to examine relevant theories and frameworks related to AI and the FIRST methodology, along with an experimental approach to assess the application of these tools in Sharia courses.

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