AI-Generated Video Production for Teaching Hijaiyah Letter Recognition: A Study of UIN Bandung's Digitalization Community Service Program

Authors

  • Yedi Kuswandi UIN Sunan Gunung Djati Bandung Author
  • Siti Namirah Fakhira UIN Sunan Gunung Djati Bandung Author
  • Izzah Faizah Siti Rusydati Khaerani UIN Sunan Gunung Djati Bandung Author

Keywords:

generative AI, hijaiyah, production model, community service, instructional video

Abstract

The increasing adoption of digital media in early childhood Islamic education has created urgent demand for animated instructional videos that accurately represent Qur’anic content, particularly hijaiyah letters. However, the capacity gap between Islamic educational institutions and professional video production remains a persistent structural challenge. Generative AI tools offer a promising democratization pathway, yet their systematic application for Arabic script-based educational content remains undocumented in the literature. This article reports an instrumental case study embedded within a community service program (Pengabdian kepada Masyarakat/PPM) on learning digitalization, conducted by an academic team from the Qur’anic Sciences and Tafsir study program at UIN Sunan Gunung Djati Bandung. The study documents the full production process of a 28-episode animated instructional video series introducing hijaiyah letters for PAUD/kindergarten-level learners, using Dreamina (character generation), Grok AI (video animation), and Corel VideoStudio (editing and post-production). Through systematic logging and analysis of eight iterative AI video generation attempts, five categories of consistent AI failure were identified: calligraphic distortion (100% occurrence rate), lip-sync error (63%), character proportion inconsistency (38%), non-contextual visual improvisation (63%), and dialogue assignment error (25%). Critically, calligraphic distortion—the most pedagogically consequential failure—manifested across all eight iterations without exception, confirming the structural “affordance disparity” between Latin and Arabic script rendering documented by Sobhan et al. (2025). From this failure taxonomy, the study constructs the Hybrid AI Production Workflow (HAPW) model, which strategically allocates tasks between a Generative Layer (AI) and a Precision Layer (human editor), with explicit quality gates at content-critical junctions. The HAPW model offers the first domain-specific framework for AI-assisted Islamic instructional media production, grounded in the Cognitive Theory of Multimedia Learning and validated against systematic field failure patterns. Its design as a non-technical, low-cost framework makes it directly transferable to other PTKI-based community service contexts across Indonesia. 

References

Al-Shaikh, R., Al-Malki, N., & Almasre, M. (2024). The Implementation of the Cognitive Theory of Multimedia Learning in the Design and Evaluation of an AI Educational Video Assistant Utilizing Large Language Models. Heliyon, 10. https://doi.org/10.1016/j.heliyon.2024.e25361

Buchori, A., Haryati, T., Rahmawati, N. D., Prayito, M., & Prasetyowati, D. (2025). Pelatihan Pembuatan Media Pembelajaran Berbasis Artificial Intelligence (AI) bagi Guru-Guru di SDN Pandean Lamper 01 Semarang. Archive: Jurnal Pengabdian Kepada Masyarakat, 5(1). https://doi.org/10.55506/arch.v5i1

Chevalier, J. M., & Buckles, D. J. (2013). Participatory Action Research: Theory and Methods for Engaged Inquiry. Routledge.

Contreras, I., Hossfeld, S., Boer, K. de, Wiedler, J. T., & Ghidinelli, M. (2024). Revolutionising Faculty Development and Continuing Medical Education through AI-Generated Videos. Journal of CME, 13. https://doi.org/10.1080/28338073.2024.2434322

Gupta, S., Ravindra, V., Banerjee, S., & Bhattacharyya, P. (2021). AI-Assisted Video Editing with Talking Face, Lip-Sync, and Interactive Compositing in Conventional Editors. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2). https://doi.org/10.1145/3479531

Hai, T. T., Mai, D. T. T., & Hanh, N. V. (2026). A Rapid Review of Using AI-Generated Instructional Videos in Higher Education. Frontiers in Computer Science, 7. https://doi.org/10.3389/fcomp.2025.1721093

Hanifah, S., Soraya, I., & Kurjum, M. (2025). Optimalisasi Media Video Animasi dalam Pembelajaran Pendidikan Agama Islam untuk Meningkatkan Pemahaman Siswa. Jurnal Ilmiah Profesi Pendidikan, 10(2), 1600–1608.

Herr, K., & Anderson, G. L. (2005). The Action Research Dissertation: A Guide for Students and Faculty. SAGE Publications.

Imroatun, I., Muqdamien, B., Ilzamudin, I., & Muhajir, M. (2023). Pengenalan Huruf Hijaiyah untuk Anak Usia Dini melalui Pengasuhan Informal di Indonesia. Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini, 7(3). https://doi.org/10.31004/obsesi.v7i3.4534

JMIMAS. (2025). Penerapan Pembelajaran Makharijul Huruf dalam Meningkatkan Literasi Al-Qur’an Anak di TPA Al-Hikmah Dusun Kalibundar. JMIMAS: Jurnal Pengabdian Dan Mitra Masyarakat. https://jurnal.insima.ac.id/index.php/jmimas/article/view/193

Khaerani, I. F. S. R., Rusmana, D., & Fitriani, L. (2023). Digital Tafsir dan E-Learning Al-Qur’an: Analisis Framing pada Aplikasi Ngafal Ngefeel dan IluvQur’an. Al-Bayan: Jurnal Studi Ilmu Al-Qur’an Dan Tafsir, 8(2), 160–174. https://doi.org/10.15575/al-bayan.v8i2.54523

Leiker, D., Gyllen, A. R., Eldesouky, I., & Cukurova, M. (2023). Generative AI for Learning: Investigating the Potential of Synthetic Learning Videos. ArXiv, abs/2304.03784. https://doi.org/10.48550/arXiv.2304.03784

Maksuroh, M., & Agustin, M. (2025). Efektivitas Penggunaan Kartu Huruf Hijaiyah dalam Meningkatkan Kemampuan Membaca Huruf Hijaiyyah Anak Usia Dini. Aulad: Journal on Early Childhood, 8(1), 62–69. https://doi.org/10.31004/aulad.v8i1.873

Maleki, E., Chen, L.-T., Vijayakumar, T. M., Asumah, H., Tretheway, P., Liu, L., Fu, Y., & Chu, P.-W. (2024). AI-Generated and YouTube Videos on Navigating the U.S. Healthcare Systems: Evaluation and Reflection. International Journal of Technology in Teaching and Learning. https://doi.org/10.37120/ijttl.2024.20.1.03

Mamuta, I., & Rybalko, S. (2025). AI-Assisted Video Production for Instructional Design: Capabilities and Constraints in Higher Education. Journal of Educational Technology Systems, 53(3). https://doi.org/10.1177/00472395241285792

Netland, T. H., Dzengelevski, O. von, Tesch, K., & Kwasnitschka, D. (2024). Comparing Human-Made and AI-Generated Teaching Videos: An Experimental Study on Learning Effects. Computers & Education, 224, 105164. https://doi.org/10.1016/j.compedu.2024.105164

Prayitno, G., Sari, R., & Hakim, A. R. (2025). Pengembangan Media Pembelajaran Huruf Hijaiyah Berbasis Scratch di TK Bustanul Afthal Nabire. Jurnal Publikasi Teknik Informatika, 4(3), 213–223. https://doi.org/10.55606/jupti.v4i3.5563

Rahmat, A., & Karimah, S. N. (2025). Penerapan Metode Tilawati dalam Meningkatkan Kemampuan Membaca Al-Qur’an Anak Usia Dini di RA Ar-Rahman. ABUYA: Jurnal Pendidikan Dasar, 3(1).

Saputra, A., Rahman, N. A., & Kurniati. (2024). Hukuman Mati: Dilema Antara Maslahat Mursalah dan Hak Asasi Manusia di Indonesia. Aladalah: Jurnal Politik, Sosial, Hukum Dan Humaniora, 2(4), 148–159. https://doi.org/10.59246/aladalah.v2i4.974

Saputra, M. R., Wardhana, K. E., Effendy, R., Muthmainnah, R., & Anastasya, T. A. (2021). Penggunaan Video Animasi dalam Pembelajaran Pendidikan Agama Islam pada Siswa Kelas 1 Sekolah Dasar. EDUCASIA: Jurnal Pendidikan, Pengajaran, Dan Pembelajaran, 6(3), 167–182. https://doi.org/10.21462/educasia.v6i3.126

Schön, D. A. (1983). The Reflective Practitioner: How Professionals Think in Action. Basic Books.

Shah, S., Metaxa, D., & Bernstein, M. S. (2026). From Transcript to Rough Cut: LLM-Assisted Video Editing for Instructional Content. ACM CHI Conference on Human Factors in Computing Systems.

Shu, J., Kou, H., Zhang, J., Zhang, T., Zhang, H., Xu, T., & Zhou, Y. (2025). AI-Generated Instructional Videos: A Systematic Review of Learning Impacts, Applications, and Research Perspectives. 2025 7th International Conference on Computer Science and Technologies in Education (CSTE), 877–881. https://doi.org/10.1109/CSTE64638.2025.11091997

Sobhan, A., Pasquier, P., & Aceves Sepúlveda, G. (2025). Broken Letters, Broken Narratives: A Case Study on Arabic Script in DALL-E 3. ArXiv, abs/2502.20459. https://doi.org/10.48550/arXiv.2502.20459

Soe, T., Winn, J., & Nakagawa, Y. (2021). AI-Assisted Subtitling in Professional Video Production: Evaluating Accuracy and Editor Experience. ACM International Conference on Multimedia, 3421–3429.

Suwannawong, N., Bangkheow, P., Nilsook, P., Wannapiroon, P., Linthaluek, S., & Yoorubsuk, J. (2026). AI-Based Model with Intelligent Production Stages for Educational Video Creation. International Journal of Information and Education Technology. https://doi.org/10.18178/ijiet.2026.16.1.2491

Tokmakov, D., Tokmakova, A., Shotarova, S., Lyubomirov, S., Mileva, N., & Tokmakova, K. (2025). AI Educational Video Creation Methodology for University Courses. 2025 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 1–8. https://doi.org/10.1109/TALE66047.2025.11346699

Wahyunda, E. A. (2025). Penggunaan Media Animasi dalam Pembelajaran Pendidikan Islam Anak Usia 5-6 Tahun di RA Perwanida 11 Bangsalsari Jember. Journal of Early Childhood Education Studies, 5(2), 402–433. https://doi.org/10.54180/joeces.v5i2.591

Wang, Y., Luo, J., Xu, Z., & Yao, B. (2024). LLM-Agent-Assisted Video Editing: Towards Seamless Multi-Step Video Production Workflows. Proceedings of the 2024 ACM Multimedia Conference, 4521–4530. https://doi.org/10.1145/3664647.3681291

Weerakoon, O., Leppänen, V., & Mäkilä, T. (2024). Enhancing Pedagogy with Generative AI: Video Production from Course Descriptions. Proceedings of the International Conference on Computer Systems and Technologies 2024. https://doi.org/10.1145/3674912.3674922

Xu, T., Liu, Y., Jin, Y., Qu, Y., Bai, J., Zhang, W., & Zhou, Y. (2024). From Recorded to AI-Generated Instructional Videos: A Comparison of Learning Performance and Experience. British Journal of Educational Technology, 56, 1463–1487. https://doi.org/10.1111/bjet.13530

Yin, R. K. (2014). Case study research: Design and methods (5th ed.). SAGE Publications.

Zahara, S., & Hendriana, B. (2021). Pengembangan Media Video Animasi untuk Kemampuan Menghafal Hadist pada Anak Usia Dini. Edukatif: Jurnal Ilmu Pendidikan, 3(6), 3593–3601. https://doi.org/10.31004/edukatif.v3i6.948

Published

2026-06-30

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