Requirements for Using Artificial Intelligence in Teaching and Interpreting the Quran

Document Type : Original Article

Author

Assistant Professor, Department of Education, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.

Abstract

This study examines the key dimensions, driving components and essential requirements for integrating modern artificial intelligence technologies into the teaching and interpretation of the Holy Quran. Employing a qualitative phenomenological approach, data were analyzed through Colaizzi’s (1978) model and content analysis. The study population consisted of university professors of Quran and Hadith and Quran instructors in Kermanshah Province, from whom ten participants were selected through purposive, criterion‑based sampling until theoretical saturation. Findings reveal that effective use of artificial intelligence in Quranic education and interpretation is structured around three main categories comprising eight subcategories, forty‑five sub‑concepts, and sixty general concepts. The first category, “preliminaries and infrastructures,” includes essential prerequisites, creativity and innovation, and future‑oriented vision. The second category, “principal and basic requirements,” encompasses knowledge‑ and insight‑based factors along with prudent, value‑aligned actions. The third category, “technical and executive requirements,” involves adherence to methodological principles, appropriate support and supervision, and constructive cooperation. Overall, these elements form a coherent framework that ensures AI‑based systems remain technically efficient while maintaining the authenticity and scholarly rigor required in Quranic sciences. The study concludes that sustained attention to these foundational requirements strengthens the reliability and educational value of AI‑assisted methods for teaching and interpreting the Holy Quran. 

Keywords

References

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History

  • Receive Date: 28 September 2025
  • Revise Date: 04 November 2025
  • Accept Date: 28 December 2025
  • First Publish Date: 29 December 2025
  • Publish Date: 21 March 2026

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