Recitation Gatekeeping for Quality Qur’anic Learning Environments
DOI:
https://doi.org/10.21834/e-bpj.v11i38.8114Keywords:
Quranic Recitation, Quality Learning Environment, Recitation Gatekeeping, Information Verification, Quality of LifeAbstract
Qur'anic recitation preparation draws on official criteria, references, recordings, digital tools, and artificial intelligence (AI)-supported feedback. This conceptual paper develops the Recitation Gatekeeping Model through literature mapping and analysis of official competition documents. The synthesis positions guiding teachers and external Qur'anic recitation trainers as verification actors applying five checks: official alignment, source credibility, technical accuracy, pupil suitability, and preparation value. The model explains how these checks authorise information as pupil guidance and links source selection to correction reliability, feedback continuity, competition alignment, and pupil readiness. It frames Qur'anic learning guidance as an educational dimension of Quality of Life
References
Ab Jalil, N., Salleh, N. H., Awang, A. H., Ab Jalil, H., Ahmad, M. N., Ghozali, S., & Mohamed Abdul Rahman, M. R. (2021). Built environment for memorisation: Enhancing the hafazan performances through learning spatial quality and sitting styles. Lecture Notes in Civil Engineering, 139, 173–182.
Ab Kadir, K., Sahari@Ashaari, N., & Judi, H. M. (2019). Indikator kewibawaan maklumat Islam di media sosial melalui kesepakatan pakar [Indicators of Islamic information credibility on social media through expert agreement]. Jurnal Komunikasi: Malaysian Journal of Communication, 35(2), 499–522. https://doi.org/10.17576/JKMJC-2019-3502-30
Abd Aziz, A., Nor, R. N. H., Jusoh, Y. Y., Ab. Rahman, W. N. W., & Ali, N. M. (2024). Factors influencing information quality of information systems: A systematic literature review. International Journal on Informatics Visualization, 8(3-2), 1923–1931.
Al-Azani, S., Abudalfa, S., & Samma, H. (2026). A comprehensive review of artificial intelligence in Qur’anic research: Trends, methods, challenges, and future directions. Information Processing & Management, 63(7), Article 104870.
Al-Fadhli, S., Alharbi, H., & Cherif, A. (2024). qArI: A hybrid CTC/attention-based model for Quran recitation recognition using bidirectional LSTMP in an end-to-end architecture. IEEE Access, 12, 95762–95777. https://doi.org/10.1109/ACCESS.2024.3425273
Aljabr, B. N. (2025). Leveraging linguistic sciences and artificial intelligence to correct Qur’anic recitation: The Al-Fatihah application for Indonesians as a model. Global Journal Al-Thaqafah, 15(2), 328–347.
Alrumiah, S. S., & Al-Shargabi, A. A. (2023). Intelligent Quran recitation recognition and verification: Research trends and open issues. Arabian Journal for Science and Engineering, 48(8), 9859–9885.
Alsulami, S. G., Albeladi, A. A., Kouchay, S. A., Altammam, A. A., Afifi, M. Y., & Al-Qahtani, R. T. M. (2024). Integration of TAM and ISSM into student satisfaction with AI learning intervention: Empirical evidence from Islamic studies. Pakistan Journal of Life and Social Sciences, 22(2), 6356–6366.
Bahagian Pendidikan Islam, Kementerian Pendidikan Malaysia. (2026). Garis panduan Mahrajan al-Quran, Nasyid dan Kesenian Islam Sekolah-Sekolah Kementerian Pendidikan Malaysia 2026. Kementerian Pendidikan Malaysia.
Birgün, M. (2026). Integrating AI into Qur’an learning: Technical advances and pedagogical gaps. Social Sciences & Humanities Open, 13, Article 102499.
Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/QRJ0902027
Domínguez-Diaz, A., Goyanes, M., & de-Marcos, L. (2025). Automating content analysis of scientific abstracts using ChatGPT: A methodological protocol and use case. MethodsX, 15, 103431. https://doi.org/10.1016/j.mex.2025.103431
Erzikova, E. (2018). Gatekeeping. In The International Encyclopedia of Strategic Communication (pp. 1–6). Wiley.
Gergul, S., Gorodnycha, L., Olkhovyk, M., & Panchenko, V. (2025). The effectiveness of using information verification services in the training of future teachers. WSEAS Transactions on Computer Research, 13, 297–312.
Gökdemir, A., & Gürel, R. (2024). Pedagogical reflections on the teaching process of the Quran by the Prophet Muhammad (PBUH). Cumhuriyet Ilahiyat Dergisi, 28(2), 820–843.
Gutub, A. (2022). Integrity verification of Holy Quran verses recitation via incomplete watermarking authentication. International Journal of Speech Technology, 25(4), 997–1011. https://doi.org/10.1007/s10772-022-09999-0
Huang, K., Wang, X., Hu, W., & Li, L. (2023). Construction of college students’ information verification behavior model. Library and Information Service, 67(11), 101–114.
Huang, Q., Lv, C., Lu, L., & Tu, S. (2025). Evaluating the quality of AI-generated digital educational resources for university teaching and learning. Systems, 13(3), Article 174.
Ismail, F. Z., Yusof, N. H., Ahmad Osman, A. F., Omar, N., Embong, R., & Kamaruddin, K. (2024). Integrated murajaah practice and prospective recital assessment model. In 2024 IEEE 13th International Conference on Engineering Education: Dissemination and Advancement of Engineering Education Using Artificial Intelligence (ICEED 2024). IEEE.
Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10, 18–26.
Jabareen, Y. (2009). Building a conceptual framework: Philosophy, definitions, and procedure. International Journal of Qualitative Methods, 8(4), 49–62.
Jabatan Kemajuan Islam Malaysia. (2024). Buku peraturan dan penghakiman Majlis Tilawah dan Hafazan al-Quran. Jabatan Kemajuan Islam Malaysia.
Jabatan Pendidikan Negeri Sabah. (2026). Garis panduan PEMANIS 2026. Jabatan Pendidikan Negeri Sabah.
Khalid bin Isa. (2019). Metodologi tarannum al-Quran menurut bacaan Mustafa Isma’il (M. 1978) dan pengaruhnya di Malaysia [Doctoral thesis, Universiti Malaya]. UM Student Works. https://knova.um.edu.my/student_works_2010s/6094
Mazzoni, D., Durosini, I., & Pravettoni, G. (2026). Cautions in using ChatGPT for qualitative thematic analysis: The case of social support in an internet forum for patients. Qualitative Research Journal. Advance online publication. https://doi.org/10.1108/QRJ-10-2025-0350
Mursyid, A., & Mustautina, I. (2019). Tajwid di Nusantara: Kajian sejarah, tokoh dan literatur. El-Furqania: Jurnal Ushuluddin dan Ilmu-Ilmu Keislaman, 5(1), 75–104. https://doi.org/10.54625/elfurqania.v5i01.3366
Mustapa, A. M., Saad, M. F. M., & Ismail, S. (2025). Traditional to digital: Evaluating the use of AI in the Tarteel application to enhance Quran memorisation. Quranica, 17(2), 53–73.
Pejabat Pendidikan Daerah Kuala Kangsar. (2026). [District notice on in-person participation and recorded submissions].
Razouki, H., Hair, A., Cherradi, B., & Razouki, A. (2025). Assessing the impact of artificial intelligence on the role of the teacher, student learning and the transmission of knowledge in education. International Journal of Modern Education and Computer Science, 17(5), 62–76.
Sa’ari, H., Sahak, M. D., & Skrzeszewskis, S. (2023). Deep learning algorithms for personalized services and enhanced user experience in libraries: a systematic review. Mathematical Sciences and Informatics Journal (MIJ), 4(2), 30-47.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.
Subki. (2025). Qiroati method-based Quran learning management: Bibliometric analysis and case study. International Journal of Learning, Teaching and Educational Research, 24(10), 30–57.
Wan-Chik, R. Z. (2015). Information credibility assessment of Islamic and Quranic information on the web. In Proceedings of the 9th International Conference on Information Management and Engineering (pp. 1–7). Association for Computing Machinery. https://doi.org/10
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