DEVELOPING TECHNOLOGY-BASED ARABIC LANGUAGE LEARNING MEDIA FOR THE DIGITAL GENERATION
Abstract
The development of digital technology has significantly influenced the learning patterns and characteristics of the digital generation, including in the context of Arabic language learning. Traditional learning approaches, which are still one-way and limited to conventional media, are considered inadequate to meet the learning needs of today's students. This situation drives the need for innovation through the development of Arabic language learning media integrated with technology. This study aims to design technology-based Arabic language learning media that are appropriate to the characteristics of the digital generation and to evaluate the feasibility and effectiveness of their use in the learning process. The method applied is research and development (R&D), including the stages of needs analysis, media design, product development, expert validation, and limited trials on students. Data collection was conducted through questionnaires, observations, and learning outcome tests, while data analysis used descriptive quantitative and qualitative approaches. The results of the study indicate that the technology-based Arabic language learning media developed received a very good rating from material and media experts. Furthermore, the implementation of this media has been proven to increase student motivation and learning achievement. These findings confirm that the integration of technology in Arabic language learning media can create a more interactive, engaging, and relevant learning process to meet the needs of the digital generation.
Full text article
References
Ali, M. (2025). Key Ideas of Sayyed Abul A?l? Mawd?d?. In Modern South Asian Thinkers: Interface of Region and Universe (pp. 430–435). Taylor and Francis. Scopus. https://doi.org/10.4324/9781003582533-56
Al-Abbas, L. S. (2021). The representation of homosexuals in Arabic-language news outlets. Equality Diversity and Inclusion, 40(3), 309–337. https://doi.org/10.1108/EDI-05-2020-0130
Aldjanabi, W. (2021). Arabic offensive and hate speech detection using a cross-corpora multi-task learning model. Informatics, 8(4). https://doi.org/10.3390/informatics8040069
Alhumoud, SO (2022). Arabic sentiment analysis using recurrent neural networks: A review. Artificial Intelligence Review, 55(1), 707–748. https://doi.org/10.1007/s10462-021-09989-9
Al-Issa, ASM (2020). The language planning situation in the Sultanate of Oman. Current Issues in Language Planning, 21(4), 347–414. https://doi.org/10.1080/14664208.2020.1764729
Alkhawaldeh, R. S. (2021). Arabic (Indian) handwritten digit recognition using recurrent transfer deep architecture. Soft Computing, 25(4), 3131–3141. https://doi.org/10.1007/s00500-020-05368-8
Al-Laith, A. (2021). Tracking sentiment towards news entities from Arabic news on social media. Future Generation Computer Systems, 118(Query date: 2026-01-25 00:10:38), 467–484. https://doi.org/10.1016/j.future.2021.01.015
Alsaleh, D. (2021). Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms. IEEE Access, 9(Query date: 2026-01-25 00:10:38), 91670–91685. https://doi.org/10.1109/ACCESS.2021.3091376
Anezi, FYA (2022). Arabic Hate Speech Detection Using Deep Recurrent Neural Networks. Applied Sciences Switzerland, 12(12). https://doi.org/10.3390/app12126010
Bakti, I. K., Kurniawan, R., Mudlofir, A., Kusaeri, K., & Bahri, R. (2025). Integrating Islamic values in inclusive madrasa education: A unique approach for special needs students. International Journal of Inclusive Education. Scopus. https://doi.org/10.1080/13603116.2025.2555397
Elbarazi, I. (2022). The Impact of the COVID-19 “Infodemic” on Well-Being: A Cross-Sectional Study. Journal of Multidisciplinary Healthcare, 15(Query date: 2026-01-25 00:10:38), 289–307. https://doi.org/10.2147/JMDH.S346930
Elhassan, N. (2023). Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning. Computers, 12(6). https://doi.org/10.3390/computers12060126
Fadel, AS (2022). Arabic Aspect Extraction Based on Stacked Contextualized Embedding With Deep Learning. IEEE Access, 10(Query date: 2026-01-25 00:10:38), 30526–30535. https://doi.org/10.1109/ACCESS.2022.3159252
Fouad, K. M. (2022). Arabic fake news detection using deep learning. Computers Materials and Continua, 71(2), 3647–3665. https://doi.org/10.32604/cmc.2022.021449
Galal, M.A. (2024). Arabic sarcasm detection: An enhanced fine-tuned language model approach. Ain Shams Engineering Journal, 15(6). https://doi.org/10.1016/j.asej.2024.102736
Hadwan, M. (2022). Arabic Sentiment Analysis of Users' Opinions of Governmental Mobile Applications. Computers Materials and Continua, 72(3), 4675–4689. https://doi.org/10.32604/cmc.2022.027311
Hadi, I. A. (2025). Maternal Mortality and Rituals: Exploring Agency of the Dead Through a Haunted Malay Doctor. Folklore (Estonia), 96, 99–114. Scopus. https://doi.org/10.7592/FEJF2025.96.hadi
Harrag, F. (2022). Arabic Fake News Detection: A Fact Checking Based Deep Learning Approach. ACM Transactions on Asian and Low Resource Language Information Processing, 21(4). https://doi.org/10.1145/3501401
Hopkyns, S. (2021). The use of English and linguistic hybridity among Emirati millennials. World Englishes, 40(2), 176–190. https://doi.org/10.1111/weng.12506
Ilyas, H. (2025). Jurisprudential Interpretation and Digital Worship: A Critical Study of the Muhammadiyah Fatwa on Virtual Friday Prayers. Journal of Islamic Law, 6(2), 377–400. Scopus. https://doi.org/10.24260/jil.v6i2.4413
Joseph, R. (2021). The immediate psychological response of the general population in Saudi Arabia during COVID-19 pandemic: A cross-sectional study. Journal of Infection and Public Health, 14(2), 1–8. https://doi.org/10.1016/j.jiph.2020.11.017
Koshiry, A.M. (2023). Arabic Toxic Tweet Classification: Leveraging the AraBERT Model. Big Data and Cognitive Computing, 7(4). https://doi.org/10.3390/bdcc7040170
Luqman, H. (2021). Towards hybrid multimodal manual and non-manual Arabic sign language recognition: Marsl database and pilot study. Electronics Switzerland, 10(14). https://doi.org/10.3390/electronics10141739
Musleh, D. A. (2022). Twitter arabic sentiment analysis to detect depression using machine learning. Computers Materials and Continua, 71(2), 3463–3477. https://doi.org/10.32604/cmc.2022.022508
Nassif, AB (2022). Arabic fake news detection based on deep contextualized embedding models. Neural Computing and Applications, 34(18), 16019–16032. https://doi.org/10.1007/s00521-022-07206-4
Nur, M. T., Rismawati, n., Wagay, J. A., & Nurdin, E. (2025). Negotiating Islamic Identity Through Cultural Adaptation: A Fiqh al-Aqalliyyat Analysis of Masselle aseng Practice in Indonesian Muslim Minorities. Jurnal Ilmiah Al-Syir’ah, 23(1), 117–138. Scopus. https://doi.org/10.30984/jis.v23i1.3132
R'Boul, H. (2022). The spread of English in Morocco. English Today, 38(2), 72–79. https://doi.org/10.1017/S0266078420000449
Revkin, M.R. (2021). The Islamic State's Pattern of Sexual Violence: Ideology and Institutions, Policies and Practices. Journal of Global Security Studies, 6(2). https://doi.org/10.1093/jogss/ogaa038
Sadequee, S. (2025). Negotiating Belonging: Islamic Cemeteries as Sites of Cultural Assertion and Placemaking in the United States. Journal of Islamic and Muslim Studies, 10(1), 25–54. Scopus. https://doi.org/10.2979/jims.00044
Sajjad, H. (2020). AraBench: Benchmarking Dialectal Arabic-English Machine Translation. Coling 2020 28th International Conference on Computational Linguistics Proceedings of the Conference, Query date: 2026-01-25 00:10:38, 5094–5107.
Sati, H. (2025). The WHO Bacterial Priority Pathogens List 2024: A prioritization study to guide research, development, and public health strategies against antimicrobial resistance. Lancet Infectious Diseases, 25(9), 1033–1043. https://doi.org/10.1016/S1473-3099(25)00118-5
Setyanto, A. (2022). Arabic Language Opinion Mining Based on Long Short-Term Memory (LSTM). Applied Sciences Switzerland, 12(9). https://doi.org/10.3390/app12094140
Syamsuni, H. R., Rahman, A., Adlin Wan Draman, W. M. A., Syamsiah, N., & Asykur, M. (2025). Integrating the values of Islamic Religious Education in the daily lives of rural families: A gender study. Indonesian Journal of Islam and Muslim Societies, 15(1), 57–83. Scopus. https://doi.org/10.18326/ijims.v15i1.57-83
Suparmin, S., & Lubis, A. (2025). Khanduri Blang in Aceh: Construction of Islamic Law with Qawa’id Fiqhiyyah Approach. Samarah, 9(1), 148–177. Scopus. https://doi.org/10.22373/sjhk.v9i1.25044
Yusuf, N., Usup, D., Tumiwa, A. J., Bilalu, N., & Isima, N. (2025). Mapalus Tradition: North Sulawesi Muslim Society in the Maq??id Syar?’ah Discourse. Al-Ihkam: Jurnal Hukum Dan Pranata Sosial, 20(1), 63–93. Scopus. https://doi.org/10.19105/al-lhkam.v20i1.14025
