The Influence of Digital Intelligence on Improving the Learning Quality of Arabic Language Courses
DOI:
https://doi.org/10.57092/ijetz.v4i3.480Keywords:
Digital Intelligence, Learning Quality, Arabic, Educational TechnologyAbstract
The integration of technology in Arabic language learning remains a significant challenge, requiring lecturers to possess advanced digital competencies. This study examines the influence of digital intelligence on the quality of Arabic language instruction at the Sultan Syarif Kasim State Islamic University. Employing a quantitative ex post facto design with correlational analysis, the study involved 30 lecturers from the Arabic Language Education Study Program. Data were collected using structured questionnaires, supporting interviews, and document analysis. Results indicate a statistically significant and strong positive relationship between lecturers’ digital intelligence and the quality of learning, with a coefficient of determination of 74.3% (R² = 0.743). Linearity tests confirm a consistent linear relationship between the variables, and linear regression analysis reveals a correlation coefficient of R = 0.862, highlighting the robustness of this association. Lecturers with higher digital intelligence are better able to integrate technology into their teaching, enhance interactivity, and improve pedagogical effectiveness. These findings underscore the need for systematic and sustained initiatives to strengthen digital competencies among Arabic language lecturers. Beyond instrumental technology use, lecturers are encouraged to adopt innovative pedagogical strategies that leverage digital tools to optimize learning outcomes.
Downloads
References
Adel, M. A., Boudjadi, K., Abouelnour, M. M., & Alhourani, M. I. (2024). The Contribution of Smartphone Apps to Develop Teaching the Arabic Language “Arabic Is My Language’s App” as a Sample. Forum for Linguistic Studies, 6(6), 1175–1190. https://doi.org/10.30564/fls.v6i6.7408
Aishath, Z., Omar, I. M., & Aishath, W. (2021). Correlation between Lecturers’ Professional Development Activities and their Competencies in Maldives Higher Education Institutes. International Journal of Learning, Teaching and Educational Research, 20(9), 18–37. https://doi.org/10.26803/ijlter.20.9.2
Al-Assaf, D. M. (2021). Challenges of Distance Learning in Language Classes: Based on the Experience of Distance Teaching of Arabic to Non-native Speakers in Light of the Coronavirus Pandemic. Journal of Language Teaching and Research, 12(3), 444–451. https://doi.org/10.17507/jltr.1203.15
Al-Muslim, M., Fadzli Ismail, M., Ab. Ghani, S., Nawawi, Z., Abdul Rahman, M., & Nazri Rostam, M. (2020). What are the Features of Quality for Arabic Teachers Agreed by Students and Teachers? Journal of Education and E-Learning Research, 7(1), 56–63. https://doi.org/10.20448/journal.509.2020.71.56.63
Alsmary, N. A. (2022). Digital-Based Genuine Invitation Strategies of Najdi Arabic Speakers: A Socio-Pragmatic Analysis. World Journal of English Language, 12(8), 230–245 https://doi.org/10.5430/wjel.v12n8p230
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Thousand Oaks, CA: Sage
Chu, J. H., Loyalka, P., Chu, J., Qu, Q., Shi, Y., & Li, G. (2015). The impact of teacher credentials on student achievement in China. China Economic Review, 36, 14–24. https://doi.org/10.1016/j.chieco.2015.08.006
Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). London: Routledge.
Columbu, A. (2022). Decolonising Arabic Language Teaching: A Case Study. Lingue Culture Mediazioni - Languages Cultures Mediation (LCM Journal), 8(2), 101–118. https://doi.org/10.7358/lcm-2021-002-colu
El Alaoui, H., & Cavalli-Sforza, V. (2025). DarijaGenie: Learning Moroccan Arabic Through a Multimodal Chatbot. In Proceedings of XYZ Conference (pp. 74–89). Springer. https://doi.org/10.1007/978-3-031-79164-2_7
Elawadi, E. M. S. S., Halim, Z. A., Al-Sammarraie, N. A., El-Ebiary, Y. A., & Pandey, B. (2019). The Impact of E-Learning in Teaching Arabic Language for Non-Native Speakers. International Journal of Recent Technology and Engineering, 8(2S3), 1159–1162. https://doi.org/10.35940/ijrte.B1214.0782S319
Fernández Cerero, J., Montenegro Rueda, M., Román Graván, P., & Fernández Batanero, J. M. (2025). ChatGPT as a Digital Tool in the Transformation of Digital Teaching Competence: A Systematic Review. Technologies, 13(5), 205. https://doi.org/10.3390/technologies13050205
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). London: Sage.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate research in education (10th ed.). New York, NY: McGraw-Hill Education.
Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. https://doi.org/10.5812/ijem.3505
Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. In Proceedings of the Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education. Columbus, OH: The Ohio State University.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2020). Multivariate data analysis (8th ed.). Cengage Learning.
Iswanto, R. (2017). Pembelajaran Bahasa Arab dengan Pemanfaatan Teknologi. Arabiyatuna: Jurnal Bahasa Arab, 1(2), 139. https://doi.org/10.29240/jba.v1i2.286
Jamil, N. J., Rashid, R. A., Sahib, F. H., Ahmad, M., Abd. Kadir, K., Ibrahim, S. H., et al. (2024). Bridging Gaps in Online Arabic Language Instruction: Addressing Key Challenges in Higher Education Institutions. Global Journal Al-Thaqafah, 115–129. https://doi.org/10.7187/GJATSI122024-8
Jebli, S., Foulad, R., Amellah, S., Sahib, A.-O., & Bouaziz, A. (2024). Reflections on the definition of quality of education and a focus on its significance for contemporary Muslim societies. Edelweiss Applied Science and Technology, 8(4), 1324–1332. https://doi.org/10.55214/25768484.v8i4.1509
Joseph, G. V., Thomas, M. A., Jose, D., Roy, T. V., & Prasad, M. P. (2024). Impact of Digital Literacy, Use of AI tools and Peer Collaboration on AI Assisted Learning- Perceptions of the University students. Digital Education Review, 45, 43–49. https://doi.org/10.1344/der.2024.45.43-49
Kanjee, A. (2014). Evaluating a Large-Scale School Intervention Project in South Africa: Lessons and Challenges. Mediterranean Journal of Social Sciences. https://doi.org/10.5901/mjss.2014.v5n23p792
Khalaf, B. K., Mahmood, I. M., Al-Abbas, L. S., & Khudhur, S. A. (2025). Necessity for artificial intelligence in higher education: Learners’ motivation for continuous use of AI-powered tools. International Journal of Innovative Research and Scientific Studies, 8(2), 1123–1137. https://doi.org/10.53894/ijirss.v8i2.5413
Kurebayeva, G., Kulgildinova, T., Mussatayeva, I., Kenzhigozhina, K., & Kurebayeva, G. (2025). Digital transformation in foreign language learning: Perspectives of pre-service teachers in Kazakhstan. International Journal of Innovative Research and Scientific Studies, 8(1), 2248–2255. https://doi.org/10.53894/ijirss.v8i1.4936
Lee, J., Hung, J.-T., Soylu, M. Y., Popescu, D., Zhang Cui, C., Grigoryan, G., Joyner, D. A., & Harmon, S. W. (2025). Socratic Mind: Impact of a Novel GenAI-Powered Assessment Tool on Student Learning and Higher-Order Thinking. arXiv. https://arxiv.org/abs/2509.16262
Mei, S. Y., Shittu, M. A., & Ju, S. Y. (2023). Effect of Anxiety and Self-Efficacy on Class Performance in Arabic Language Online Class. World Journal of English Language, 13(5), 269. https://doi.org/10.5430/wjel.v13n5p269
Muijs, D. (2011). Doing Quantitative Research in Education with SPSS (2nd ed.). SAGE Publications.
Parveen, F., Sarwar, M., & Arif, M. (2024). To Study the Impact of Teachers’ Quality Education on Students’ Performance at Intermediate Level in District Sialkot. Journal of Management Practices, Humanities and Social Sciences, 8(4). https://doi.org/10.33152/jmphss-8.4.3
Rahman, S. N. H. A., Ramli, Z., Bujang, N. A., Ajmain, M. T.,’ A. N., Mahpuz, A., Roslan, N. R. I. M., Mohamad, A. M., & Hehsan, A. (2022). Empowering education transformation through IR 4.0: efforts in improving the quality of Arabic language education. International Journal of Business and Globalisation, 30(3/4), 293. https://doi.org/10.1504/IJBG.2022.123609
Ritonga, M., Febriani, S. R., Kustati, M., Khaef, E., Ritonga, A. W., & Yasmar, R. (2022). Duolingo: An Arabic Speaking Skills’ Learning Platform for Andragogy Education. Education Research International, 2022, 1–9. https://doi.org/10.1155/2022/7090752
Ritonga, M., Mudinillah, A., Ardinal, E., Tauhid, T., & Nurdianto, T. (2024). Enhancing Arabic Language Learning in Higher Education: Leveraging E-Campus as an Online Learning and Evaluation Platform. Jurnal Ilmiah Peuradeun, 12(2), 491. https://doi.org/10.26811/peuradeun.v12i2.1103
Riwanda, A., Ridha, M., & Islamy, M. I. (2024a). Empowering Asynchronous Arabic Language Learning Through PDF Hyperlink Media. The International Review of Research in Open and Distributed Learning, 25(1), 66–88. https://doi.org/10.19173/irrodl.v25i1.7425
Roca-Campos, E., Renta-Davids, A. I., Marhuenda-Fluixá, F., & Flecha, R. (2021). Educational Impact Evaluation of Professional Development of In-Service Teachers: The Case of the Dialogic Pedagogical Gatherings at Valencia “On Giants’ Shoulders”. Sustainability, 13(8), 4275. https://doi.org/10.3390/su13084275
Rufaidah, L. N., Umamah, N., Sumardi, Marjono, & Surya, R. A. (2021). Learning environment technology-based in improving students’ independent learning. IOP Conference Series: Earth and Environmental Science, 747(1), 012056. https://doi.org/10.1088/1755-1315/747/1/012056
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Chichester: Wiley.
Suarman, S. (2015). Teaching Quality and Students Satisfaction: The Intermediatory Role of Relationship between Lecturers and Students of the Higher Learning Institutes. Mediterranean Journal of Social Sciences. https://doi.org/10.5901/mjss.2015.v6n2p626
Superi, M. F. Bin, & Naqshbandi, M. M. (2022). Lecturer competencies and student academic performance: examining the moderating role of student motivation. International Journal of Management in Education, 16(5), 463. https://doi.org/10.1504/IJMIE.2022.125480
Supratman, Arianto, T., & Maiyana, E. (2020). Development of Local Web-Based Learning (LWBL) as Low-Cost Digital Learning Efforts. Journal of Physics: Conference Series, 1471(1), 012003. https://doi.org/10.1088/1742-6596/1471/1/012003
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Usof, A., Zakaria, Z., Fiqiyah, M., Issa, K., & Semae, A. (2025). Employing Artificial Intelligence in Teaching Arabic to Non-Native Speakers, an Analytical Study on Undergraduate Students at Sultan Idris University in Malaysia - Duolingo Application as a Model. Dragoman Journal of Translation Studies, 2025(17), 177–187. https://doi.org/10.63132/ati.2025.employ.64677989
Wang, J., Fan, W., & Zhang, Y. (2024). The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: Insights from a meta-analysis. Humanities and Social Sciences Communications, 12(1), 621. https://doi.org/10.1057/s41599-025-04787-y
Zaki, M. F. M., Ismail, U. S., Radzi, A. H. M., & Pisal, N. A. (2024). Teaching Methods of Arabic Language Grammar Lessons Among Arabic Teachers at Religious Secondary Schools in Malaysia. Theory and Practice in Language Studies, 14(10), 3100–3108. https://doi.org/10.17507/tpls.1410.11
Zhang, C., Liu, Z., B.R., A., & A, H. (2024). Synergizing language learning: SmallTalk AI In industry 4.0 and Education 4.0. PeerJ Computer Science, 10, e1843. https://doi.org/10.7717/peerj-cs.1843
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Afriza, Kasmiati, Halomoan, Muhammad Fadhlan

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.