The Evolution of Arabic Language Teaching Methods in Indonesia: A Bibliometric Analysis of Research Publications over the Last Fifteen Years

Authors

  • Faruq Abdul Muid Universtas Islam Negeri Sunan Ampel Surabaya, Indonesia Indonesia Flag Indonesia Author
  • Taufik Siraj Universtas Islam Negeri Sunan Ampel Surabaya, Indonesia Indonesia Flag Indonesia Author
  • Hasyim Asyari Universtas Islam Negeri Sunan Ampel Surabaya, Indonesia Indonesia Flag Indonesia Author
  • Wahidiyat Nur Laduni Islamic University of Madinah, Saudi Arabia Saudi Arabia Flag Saudi Arabia Author

DOI:

https://doi.org/10.53515/bzbczx43

Keywords:

Arabic Language Teaching, Bibliometric Mapping, Instructional Methods, Pesantren Education, Technology-Based Learning

Abstract

Arabic language education in Indonesia has continued to evolve in response to changing pedagogical demands and the rapid expansion of digital technology. This study aimed to map the development of Arabic language teaching methods in Indonesia from 2010 to 2024 and to identify shifts in research attention across six categories: Traditional Methods associated with pesantren education, Grammar–Translation Methods, Audio-Lingual Methods, Communicative Methods, Integrated Approaches, and Technology-Based Learning. A descriptive bibliometric mapping design was employed using publications retrieved from Google Scholar through Publish or Perish. From an initial pool of 500 records, 71 publications met the inclusion criteria and were classified according to publication year and dominant instructional orientation. The results showed that Traditional Methods had the broadest temporal presence, while Grammar–Translation, Audio-Lingual, Communicative, and Integrated Approaches appeared more intermittently. The most notable pattern was the rapid growth of Technology-Based Learning after 2020, culminating in 18 publications in 2024, which represented the highest annual count in the dataset. These findings indicate that Arabic language teaching in Indonesia is not shifting through the complete replacement of traditional approaches, but through their gradual coexistence with communicative, integrated, and digitally mediated practices. The study concludes that future development should emphasize context-sensitive integration between established pedagogical foundations and emerging technologies to support more flexible, interactive, and sustainable Arabic language learning.

References

Abdalla, A., Alsereidi, A., Alyammahi, N., Qehaizel, F. B., Ignatious, H. A., & El-Sayed, H. (2023). An innovative Arabic text sign language translator. Procedia Computer Science, 224, 425–430. https://doi.org/10.1016/j.procs.2023.09.059

Ahmed, A., Ali, N., Alzubaidi, M., Zaghouani, W., Abd-alrazaq, A. A., & Househ, M. (2022a). Freely available Arabic corpora: A scoping review. Computer Methods and Programs in Biomedicine Update, 2, Article 100049. https://doi.org/10.1016/j.cmpbup.2022.100049

Ahmed, A., Aziz, S., Toro, C. T., Alzubaidi, M., Irshaidat, S., Abu Serhan, H., Abd-alrazaq, A. A., & Househ, M. (2022b). Machine learning models to detect anxiety and depression through social media: A scoping review. Computer Methods and Programs in Biomedicine Update, 2, Article 100066. https://doi.org/10.1016/j.cmpbup.2022.100066

Al Shamsi, A. A., & Abdallah, S. (2023). Ensemble stacking model for sentiment analysis of Emirati and Arabic dialects. Journal of King Saud University–Computer and Information Sciences, 35(8), Article 101691. https://doi.org/10.1016/j.jksuci.2023.101691

Al-Anzi, F. S., & AbuZeina, D. (2022). Synopsis on Arabic speech recognition. Ain Shams Engineering Journal, 13(2), Article 101534. https://doi.org/10.1016/j.asej.2021.06.020

Al-Smadi, B. S. (2024). DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning. Computers in Biology and Medicine, 170, Article 107921. https://doi.org/10.1016/j.compbiomed.2024.107921

Alami, H., El Mahdaouy, A., Benlahbib, A., En-Nahnahi, N., Berrada, I., & Ouatik, S. E. A. (2023). DAQAS: Deep Arabic question answering system based on duplicate question detection and machine reading comprehension. Journal of King Saud University–Computer and Information Sciences, 35(8), Article 101709. https://doi.org/10.1016/j.jksuci.2023.101709

Alanazi, M., & Alqarni, M. (2022). The very first sentence in research article introductions: A rhetoric comparative approach. Heliyon, 8(8), e10241. https://doi.org/10.1016/j.heliyon.2022.e10241

Alifah Roslan, N., Izura Udzir, N., Mahmod, R., & Gutub, A. (2022). Systematic literature review and analysis for Arabic text steganography method practically. Egyptian Informatics Journal, 23(4), 177–191. https://doi.org/10.1016/j.eij.2022.10.003

Aloudah, N. M. (2022). Qualitative research in the Arabic language: When should translations to English occur? A literature review. Exploratory Research in Clinical and Social Pharmacy, 6, Article 100153. https://doi.org/10.1016/j.rcsop.2022.100153

Alsayed, A., Qadah, T. M., & Arif, M. (2023). A performance analysis of transformer-based deep learning models for Arabic image captioning. Journal of King Saud University–Computer and Information Sciences, 35(9), Article 101750. https://doi.org/10.1016/j.jksuci.2023.101750

Altamimi, M., & Alayba, A. M. (2023). ANAD: Arabic news article dataset. Data in Brief, 50, Article 109460. https://doi.org/10.1016/j.dib.2023.109460

Althobaiti, M. J. (2023). An open-source dataset for Arabic fine-grained emotion recognition of online content amid the COVID-19 pandemic. Data in Brief, 51, Article 109745. https://doi.org/10.1016/j.dib.2023.109745

Álvarez-Carmona, M. A., Aranda, R., Rodríguez-González, A. Y., Fajardo-Delgado, D., Sánchez, M. G., Pérez-Espinosa, H., Martínez-Miranda, J., Guerrero-Rodríguez, R., Bustio-Martínez, L., & Díaz-Pacheco, Á. (2022). Natural language processing applied to tourism research: A systematic review and future research directions. Journal of King Saud University–Computer and Information Sciences, 34(10), 10125–10144. https://doi.org/10.1016/j.jksuci.2022.10.010

Alyami, S., Alhothali, A., & Jamal, A. (2022). Systematic literature review of Arabic aspect-based sentiment analysis. Journal of King Saud University–Computer and Information Sciences, 34(9), 6524–6551. https://doi.org/10.1016/j.jksuci.2022.07.001

Aouichaty, S., Maleh, Y., Mohtadi, M. T., Hajami, A., & Allali, H. (2024). Sustainable topic modeling for legal Moroccan Arabic language: A challenging study on BERTopic technique. Procedia Computer Science, 236, 582–588. https://doi.org/10.1016/j.procs.2024.05.069

Aziz, A., Suhada, & Masruri, A. (2022). Aktivitas pembelajaran bahasa Arab anak usia dini dengan pendekatan psikologi humanistik Carl R. Rogers. El-Athfal: Jurnal Kajian Ilmu Pendidikan Anak, 2(2), 64–78. https://doi.org/10.56872/elathfal.v2i02.831

Brown, G., & Hellmuth, S. (2022). Computational modelling of segmental and prosodic levels of analysis for capturing variation across Arabic dialects. Speech Communication, 141, 80–92. https://doi.org/10.1016/j.specom.2022.05.003

Canlas, I. P. (2023). Three decades of disaster risk reduction education: A bibliometric study. Natural Hazards Research, 3(2), 326–335. https://doi.org/10.1016/j.nhres.2023.02.007

da Rocha, M. A., de Morais, P. S. G., da S. Barros, D. M., dos Santos, J. P. Q., Dias-Trindade, S., & de M. Valentim, R. A. (2022). A text as unique as a fingerprint: Text analysis and authorship recognition in a virtual learning environment of the Unified Health System in Brazil. Expert Systems with Applications, 203, Article 117280. https://doi.org/10.1016/j.eswa.2022.117280

Doni, F. R., Sudrajat, B., & Lukman, A. M. (2023). Aplikasi edukasi mengetahui nama alat transportasi untuk anak-anak dengan bahasa Indonesia, Inggris, dan Arab berbasis Android. EVOLUSI: Jurnal Sains dan Manajemen, 11(2), 1–6. https://doi.org/10.31294/evolusi.v11i2.16103

Fahmi, M., & Adhimah, S. (2024). Peran artificial intelligence dalam pembelajaran bahasa Arab: Peluang dan tantangan. Journal of Practice Learning and Educational Development, 4(4), 330–336.

Galal, M. A., Yousef, A. H., Zayed, H. H., & Medhat, W. (2024). Arabic sarcasm detection: An enhanced fine-tuned language model approach. Ain Shams Engineering Journal, 15(6), Article 102736. https://doi.org/10.1016/j.asej.2024.102736

Ghani, K. A., Nik Yusof, N. M. R., Baharuddin, H., Yamat, H., Ahmad, Z., & Abdullah, I. (2011). Development of a learning module on Arabic language skills outside of the classroom. Procedia–Social and Behavioral Sciences, 18, 154–162. https://doi.org/10.1016/j.sbspro.2011.05.023

Hadi, R., & Park, E. S. (2024). Bridging the digital and physical: The psychology of augmented reality. Current Opinion in Psychology, 58, Article 101842. https://doi.org/10.1016/j.copsyc.2024.101842

Hmoud, H., Shishan, F., Qasem, Z., & Bazi, S. (2023). The effect of Arabic language type on banking chatbots adoption. Heliyon, 9(10), e20686. https://doi.org/10.1016/j.heliyon.2023.e20686

Hossain, M. R., Hoque, M. M., Siddique, N., & Dewan, M. A. A. (2024). AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification. Engineering Applications of Artificial Intelligence, 133, Article 107987. https://doi.org/10.1016/j.engappai.2024.107987

Jaidi, N., Abdullah, Y., Tarasat, S., & Rahman, S. K. (2014). Kesan penggunaan perisian iMindMap dalam penulisan karangan jenis rencana. Procedia–Social and Behavioral Sciences, 134, 389–398. https://doi.org/10.1016/j.sbspro.2014.04.261

Kaddoura, S., & Henno, S. (2024). Dataset of Arabic spam and ham tweets. Data in Brief, 52, Article 109904. https://doi.org/10.1016/j.dib.2023.109904

Kaseb, A., & Farouk, M. (2023). Active learning for Arabic sentiment analysis. Alexandria Engineering Journal, 77, 177–187. https://doi.org/10.1016/j.aej.2023.06.082

Lancho Barrantes, B. S., Dalton, S., & Andre, D. (2023). Bibliometrics methods in detecting citations to questionable journals. The Journal of Academic Librarianship, 49(4), Article 102749. https://doi.org/10.1016/j.acalib.2023.102749

Latif, G., Alghmgham, D. A., Maheswar, R., Alghazo, J., Sibai, F., & Aly, M. H. (2023). Deep learning in transportation: Optimized driven deep residual networks for Arabic traffic sign recognition. Alexandria Engineering Journal, 80, 134–143. https://doi.org/10.1016/j.aej.2023.08.047

Levstek, M., Papworth, S., Woods, A., Archer, L., Arshad, I., Dodds, K., Holdstock, J. S., Bennett, J., & Dalton, P. (2024). Immersive storytelling for pro-environmental behaviour change: The Green Planet augmented reality experience. Computers in Human Behavior, 161, Article 108379. https://doi.org/10.1016/j.chb.2024.108379

Manasiq, G. (2022). Evolusi konsep pembelajaran bahasa Arab: Tinjauan sistematis terhadap orientasi pembelajaran klasik dan kontemporer. Maharot: Journal of Islamic Education, 6(1). https://ejournal.idia.ac.id/index.php/maharot/article/view/1515

Muhammad, M., Rahadian, D., & Safitri, E. R. (2017). Penggunaan digital book berbasis Android untuk meningkatkan motivasi dan keterampilan membaca pada pelajaran bahasa Arab. Pedagogia, 15(2), 170–182.

Mulidiyah, F., & Mufidah, I. (2024, May). Pembelajaran bahasa Arab berbasis media sosial TikTok berdasarkan filsafat ilmu secara ontologi. In International Conference on Islamic Civilization and Humanities (pp. 801–809).

Noviana, E., Syahza, A., Putra, Z. H., Erlinda, S., Putri, D. R., Rusandi, M. A., & Situmorang, D. D. B. (2023). Why is didactic transposition in disaster education needed by prospective elementary school teachers?. Heliyon, 9(4). https://doi.org/10.1016/j.heliyon.2023.e15413

Rahim, N. A. A., & Rahim, N. A. (2014). Strategi komunikasi lisan secara formal dalam kalangan pelajar kejuruteraan. Procedia–Social and Behavioral Sciences, 134, 382–388. https://doi.org/10.1016/j.sbspro.2014.04.260

Rahman, S. K., Metussin, M. A., Tarasat, S., Madin, A. B., & Jaidi, N. (2014). Kesan bahan visual dalam penulisan karangan bahasa Melayu. Procedia–Social and Behavioral Sciences, 134, 454–462. https://doi.org/10.1016/j.sbspro.2014.04.268

Sáenz-Hernández, I., Petreñas, C., Lapresta-Rey, C., & Ubalde, J. (2023). “They speak Arabic to make teachers angry”: High-school teachers’ (de)legitimization of heritage languages in Catalonia. Linguistics and Education, 78, Article 101232. https://doi.org/10.1016/j.linged.2023.101232

Sulaiman, T. T., Mahomed, A. S. B., Rahman, A. A., & Hassan, M. (2022). Examining the influence of pedagogical beliefs on learning management system usage among university lecturers in the Kurdistan Region of Iraq. Heliyon, 8(6), Article e09687. https://doi.org/10.1016/j.heliyon.2022.e09687

Tamrin. (2024). Evolusi pendidikan Islam: Perjalanan sejarah melalui waktu. At-Tajdid: Journal of Islamic Studies, 4(1), 1–10.

Tarasat, S., & Daud, A. (2014). Kesan penggunaan perisian asas membaca terhadap pencapaian membaca murid peringkat prasekolah. Procedia–Social and Behavioral Sciences, 134, 399–407. https://doi.org/10.1016/j.sbspro.2014.04.262

Yassin, F., Salim, J., & Ashaari, N. S. (2013). The influence of organizational factors on knowledge sharing using ICT among teachers. Procedia Technology, 11, 272–280. https://doi.org/10.1016/j.protcy.2013.12.191

Downloads

Published

2026-06-11

How to Cite

The Evolution of Arabic Language Teaching Methods in Indonesia: A Bibliometric Analysis of Research Publications over the Last Fifteen Years. (2026). Learning, Media and Technology in Arabic Education, 2(1), 13-24. https://doi.org/10.53515/bzbczx43