Authors : Nur ‘Alia Syazwani Binti Haji Maidin; Dr. Haji Abdul Hafidz Bin Haji Omar; Dr. Haji Ahmad Baha Bin Haji Mokhtar; Nurulfa’izzah Asdiana Binti Haji Mohd Hashim

Volume/Issue : Volume 10 - 2025, Issue 10 - October

Google Scholar : https://tinyurl.com/m22b8v9b

Scribd : https://tinyurl.com/565h2jbt

DOI : https://doi.org/10.38124/ijisrt/25oct691

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Abstract : This paper presents the development of an intelligent Quran memorization device that integrates Artificial Intelligence (AI) and the spaced repetition technique to strengthen long-term memory of Quranic verses. The system, named Sahib Al-Quran, was designed as a portable embedded device using a Raspberry Pi Zero 2 W as the main processor, a ReSpeaker 2-Mics HAT V2 for voice input and output, a UPS Lite battery for wireless operation and a 2.13-inch e-paper display for low-power visual output. The device employs an AI-based repetition schedule that reminds users when to review verses and provides real-time feedback through speech recognition. Beyond the hardware development, a quantitative experimental study was conducted using an SPSS t-test to compare memorization performance between a control group and an experimental group that used the device. The results revealed that the experimental group achieved significantly higher memorization scores, suggesting that integrating AI and spaced repetition into a physical learning aid can effectively improve Quran memorization and retention. This study highlights how modern technology can enhance Islamic educational practices while preserving traditional values.

Keywords : Artificial Intelligence (AI); Quran Memorization; Spaced Repetition; Speech Recognition; Embedded System; Educational Technology.

References :

1. Ebbinghaus, H. (1885). Memory: A Contribution to Experimental Psychology.
2. Landauer, T. K., & Bjork, R. A. (1978). Optimum Repetition Patterns for Learning.
3. Leitner, S. (1972). So Lernt Man Lernen. Freiburg: Herder.
4. Bakar, N. A., & Ismail, M. A. (2022). Integration of Artificial Intelligence in Islamic Education. Journal of Islamic Studies and Technology, 4(2).
5. Ahmad, R., Hamid, N., & Fathi, H. (2023). AI Tools for Arabic Pronunciation and Quranic Tajwid Training. Journal of Educational Technology Research, 7(1), 15–22.
6. Raspberry Pi Foundation. (2023). Raspberry Pi Zero 2 W Technical Specifications.
7. Seeed Studio. (2024). ReSpeaker 2-Mics HAT V2 Documentation.
8. Vosk Speech Recognition Toolkit. (2024). Vosk API Documentation.
9. Bjork, R. A. (1994). Memory and Metamemory Considerations in the Training of Human Beings.
10. Al-Zahrani, A. (2019). Retention Challenges in Quran Memorization Schools. International Journal of Islamic Education, 3(2), 47–58.
11. Al-Khatib, M. (2020). Enhancing Quran Memorization through Cognitive Repetition Strategies. Arab Educational Review, 5(4), 28–37.*