Research Developments on Arabic Learning Methods for Indonesians: Study Systematic Literature Review-Bibliometric Analysis
Perkembangan Penelitian tentang Metode Pembelajaran Bahasa Arab bagi Orang Indonesia: Kajian Systematic Literature Review-Analisis Bibliometrik
DOI:
https://doi.org/10.51590/tsqf.v1i1.1Keywords:
Arabic Learning Methods, Arabic for Indonesian, islamic arabicAbstract
There is no systematic mapping of the latest research in the field of learning Arabic for non-Arabic, in particular, that was published in SCOPUS as the top scientific publication. So often, there is a repetition of research that makes the disappearance of novelty in new research. The study aims at mapping, bothering, analyzing, and synthesizing studies related to learning Arabic for non-Arabic published in SCOPUS over the last five years. This research calls for the SLR or Systematic Literature Review method with a strongly qualitative approach. Data analysis uses bibliometric techniques using the Vos viewer application as a collection and description of the metadata of the last five years of research published by Scopus. It was concluded that Recommendations from this research encompass expanding research in Natural Language Processing (NLP), focusing on preschool stages, and fostering interdisciplinary collaboration among linguistics, information technology, developmental psychology, and education to formulate comprehensive and responsive approaches to Arabic language education tailored to learners' needs.
References
Alwehaibi, Ali, Marwan Bikdash, Mohammad Albogmi, and Kaushik Roy. “A Study of the Performance of Embedding Methods for Arabic Short-Text Sentiment Analysis Using Deep Learning Approaches.” Journal of King Saud University - Computer and Information Sciences 34, no. 8, Part B (2022): 6140–49. https://doi.org/https://doi.org/10.1016/j.jksuci.2021.07.011.
Antoun, Wissam, Fady Baly, and Hazem Hajj. “AraBERT: Transformer-Based Model for Arabic Language Understanding.” ArXiv Preprint ArXiv:2003.00104, 2020. http://arxiv.org/abs/2003.00104.
———. “AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding.” ArXiv Preprint ArXiv:2012.15516, 2020.
———. “AraGPT2: Pre-Trained Transformer for Arabic Language Generation.” ArXiv Preprint ArXiv:2012.15520, 2020.
Arruda, Humberto, Edison Renato Silva, Marcus Lessa, Domício Proença Jr, and Roberto Bartholo. “VOSviewer and Bibliometrix.” Journal of the Medical Library Association: JMLA 110, no. 3 (2022): 392.
Baas, Jeroen, Michiel Schotten, Andrew Plume, Grégoire Côté, and Reza Karimi. “Scopus as a Curated, High-Quality Bibliometric Data Source for Academic Research in Quantitative Science Studies.” Quantitative Science Studies 1, no. 1 (2020): 377–86.
Brosh, Hezi. “Arabic Language-Learning Strategy Preferences among Undergraduate Students.” Studies in Second Language Learning and Teaching 9 (July 1, 2019): 351–77. https://doi.org/10.14746/ssllt.2019.9.2.5.
Donthu, Naveen, Satish Kumar, Debmalya Mukherjee, Nitesh Pandey, and Weng Marc Lim. “How to Conduct a Bibliometric Analysis: An Overview and Guidelines.” Journal of Business Research 133 (2021): 285–96.
Ghareeb, Mohammad. Introduction to Arabic Language Teacher for Non_native Speakers. Egypt: www.youtube.com, 2020. https://www.youtube.com/watch?v=mtOoiQkpkNI.
Holes, Clive. Modern Arabic: Structures, Functions, and Varieties. Georgetown University Press, 2004.
Keshav, Masahiko, Laura Julien, and Jessica Miezel. “The Role Of Technology In Era 5.0 In The Development Of Arabic Language In The World Of Education.” Journal International of Lingua and Technology 1, no. 2 (2022): 79–98. https://doi.org/10.55849/jiltech.v1i2.85.
Kuckertz, Andreas, and Joern Block. “Reviewing Systematic Literature Reviews: Ten Key Questions and Criteria for Reviewers.” Management Review Quarterly. Springer, 2021.
LanguageTransfer. Introduction to Arabic, Track 2 - Language Transfer, The Thinking Method. spain: www.youtube.com, 2014. https://www.youtube.com/watch?v=A3gpobBSp7k.
Morales, Utzinger, Vanella Lopez, Schittny Joanan, and Hirsiger Julia. “Artificial Intelligence as a Support for Arabic Language Learning in Higher Education with VOSviewer Analysis.” Journal International Inspire Education Technology 1 (June 11, 2023): 25–37. https://doi.org/10.55849/jiiet.v1i3.207.
Muaad, Abdullah Y, G Hemantha Kumar, J Hanumanthappa, J V Bibal Benifa, M Naveen Mourya, Channabasava Chola, M Pramodha, and R Bhairava. “An Effective Approach for Arabic Document Classification Using Machine Learning.” Global Transitions Proceedings 3, no. 1 (2022): 267–71. https://doi.org/https://doi.org/10.1016/j.gltp.2022.03.003.
nassraarabicmethod. Learn Arabic Dialects for Beginners. www.youtube.com, 2017. https://www.youtube.com/watch?v=cNTPhdM0kI0.
Oudeh, Thaer Yousef. “Teaching Arabic Language to Speakers of Other Languages (Between Tradition and Innovation).” Elementary Education Online 18 (2019): 2157–71.
Rother, Edna Terezinha. “Systematic Literature Review X Narrative Review.” ACTA Paulista de Enfermagem 20, no. 2 (2007): v–vi. https://doi.org/10.1590/s0103-21002007000200001.
Shorman, Samer, Muath Jarrah, and Ahmed R Alsayed. “The Websites Technology for Arabic Language Learning Through COVID-19 Pandemic BT - Future of Organizations and Work After the 4th Industrial Revolution: The Role of Artificial Intelligence, Big Data, Automation, and Robotics.” edited by Allam Hamdan, Arezou Harraf, Pallvi Arora, Bahaaeddin Alareeni, and Reem Khamis Hamdan, 327–40. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-99000-8_18.
whichwaynow-4230 - اي طريق الان. Learning ARABIC! The GPA Method. Jordan: www.youtube.com, 2019. https://www.youtube.com/watch?v=48Qhv4xv1ig.
Wightwick, Jane, and Mahmoud Gaafar. Mastering Arabic 2. Bloomsbury Publishing, 2020.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Slamet Riyadi, Hadi Munawwar, Faisal Ali A. Madkhali
This work is licensed under a Creative Commons Attribution 4.0 International License.
