Artificial Intelligence as a Safe Space for Linguistic Expression: A Phenomenological Study of Introverted Arabic Language Learners
DOI:
https://doi.org/10.53515/tv3g5g11Keywords:
Arabic Language Learning, Artificial Intelligence, ChatGPT, Communicative Confidence, Introverted Learners, Phenomenology, Psychological SafetyAbstract
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
Ahmed, I. A., & Mikail, M. A. (2023). Interactive instructor for a synergistic student-centered and personalized teaching: A biosocial approach. Education and Urban Society, 55(8), 996–1018. https://doi.org/10.1177/00131245221106717
Ahmed, I., Ghafoor, A., Liliuara, D., & Akyuningrum, V. Q. (2025). The impact of AI learning tools on ESL learners’ motivation and success: A systematic literature review. English Learning Innovation, 6(1), 134–142. https://doi.org/10.22219/englie.v6i1.38961
Almelhes, S. (2024). Enhancing Arabic language acquisition: Effective strategies for addressing non-native learners’ challenges. Education Sciences, 14(10), Article 1116. https://doi.org/10.3390/educsci14101116
Al-Nuaimi, M. N., & Al-Emran, M. (2021). Learning management systems and technology acceptance models: A systematic review. Education and Information Technologies, 26(5), 5499–5533. https://doi.org/10.1007/s10639-021-10513-3
Asadi, I., & Asli-Badarneh, A. (2026). Diglossia and orthographic complexity as multiplicative but not additive challenges in Arabic: A critical review. Journal of Psycholinguistic Research, 55(3), Article 37. https://doi.org/10.1007/s10936-026-10214-3
Bekdaş, M. (2026). ChatGPT: The artificial intelligence for fostering grit in second language writing classes. Humanities and Social Sciences Communications, 13(1), Article 203. https://doi.org/10.1057/s41599-026-06557-w
Bernard, R. M., Borokhovski, E., Schmid, R. F., Waddington, D. I., & Pickup, D. I. (2019). Twenty-first century adaptive teaching and individualized learning operationalized as specific blends of student-centered instructional events: A systematic review and meta-analysis. Campbell Systematic Reviews, 15(1–2), Article e1017. https://doi.org/10.1002/cl2.1017
Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. SAGE Publications.
Dekhakhena, A. (2025). AI-powered personalized learning in EFL acquisition: Exploring adaptive instruction and feedback systems. Journal of Studies in Language, Culture and Society, 8(1), 111–131.
Ding, D., & Muhyiddin B Yusof, A. (2025). Investigating the role of AI-powered conversation bots in enhancing L2 speaking skills and reducing speaking anxiety: A mixed methods study. Humanities and Social Sciences Communications, 12(1), Article 1223. https://doi.org/10.1057/s41599-025-05550-z
Du, Q. (2025). How artificially intelligent conversational agents influence EFL learners’ self-regulated learning and retention. Education and Information Technologies, 30(15), 21635–21701. https://doi.org/10.1007/s10639-025-13602-9
Ferrario, A., Sedlakova, J., & Trachsel, M. (2024). The role of humanization and robustness of large language models in conversational artificial intelligence for individuals with depression: A critical analysis. JMIR Mental Health, 11(1), Article e56569. https://doi.org/10.2196/56569
Hadziq, M. F., Muzadi, N. H., Algatnaini, R. A. S., & Rinaldo, A. R. (2026). Comprehensible input, affective filter, and communicative environment: A case study of Krashen’s five hypotheses in an Indonesian pesantren. Alsuna: Journal of Arabic and English Language, 9(1), 71–90. https://doi.org/10.31538/alsuna.v9i1.9802
Lai, J. W. M., & Bower, M. (2020). Evaluation of technology use in education: Findings from a critical analysis of systematic literature reviews. Journal of Computer Assisted Learning, 36(3), 241–259. https://doi.org/10.1111/jcal.12412
Liu, G. L., & Zhao, X. (2026). A scoping review of AI-mediated informal language learning: Mapping out the terrain and identifying future directions. ReCALL, 38(1), 111–130. https://doi.org/10.1017/S0958344025100359
Liu, L. (2025). Impact of AI gamification on EFL learning outcomes and nonlinear dynamic motivation: Comparing adaptive learning paths, conversational agents, and storytelling. Education and Information Technologies, 30(8), 11299–11338. https://doi.org/10.1007/s10639-024-13296-5
Lu, J., Schmidt, M., Lee, M., & Huang, R. (2022). Usability research in educational technology: A state-of-the-art systematic review. Educational Technology Research and Development, 70(6), 1951–1992. https://doi.org/10.1007/s11423-022-10152-6
Ma, Y. (2022). The triarchy of L2 learners’ emotion, cognition, and language performance: Anxiety, self-efficacy, and speaking skill in lights of the emerging theories in SLA. Frontiers in Psychology, 13, Article 1002492. https://doi.org/10.3389/fpsyg.2022.1002492
Mohebbi, A. (2024). Enabling learner independence and self-regulation in language education using AI tools: A systematic review. Cogent Education, 12(1), Article 2433814. https://doi.org/10.1080/2331186X.2024.2433814
Moustafa, A. H. A., Fayez Al-Hamad, M., Asif Qureshi, M., & Qadir, J. (2026). Generative AI for learning and teaching Arabic: Opportunities, challenges, and ethical considerations. IEEE Access, 14, 7379–7395. https://doi.org/10.1109/ACCESS.2026.3651864
Mpho, O.-M. (2018). Teacher-centered dominated approaches: Their implications for today’s inclusive classrooms. International Journal of Psychology and Counselling, 10(2), 11–21. https://doi.org/10.5897/IJPC2016.0393
Naseer, F., Khalid, U., Qammar, M. Z., & Kashif, H. (2024). Chatbots as conversational partners: Their effectiveness in facilitating language acquisition and reducing foreign language anxiety. Journal of Applied Linguistics and TESOL, 7(4), 238–255.
Sayed, B. T., Bani Younes, Z. B., Alkhayyat, A., Adhamova, I., & Teferi, H. (2024). To be with artificial intelligence in oral test or not to be: A probe into the traces of success in speaking skill, psychological well-being, autonomy, and academic buoyancy. Language Testing in Asia, 14(1), Article 49. https://doi.org/10.1186/s40468-024-00321-0
Sethi, S. S., & Jain, K. (2024). AI technologies for social emotional learning: Recent research and future directions. Journal of Research in Innovative Teaching & Learning, 17(2), 213–225. https://doi.org/10.1108/JRIT-03-2024-0073
Shi, W., & Shakibaei, G. (2025). Insights into the effectiveness of artificial intelligence-integrated speaking instruction in enhancing speaking skills and social-emotional competence as well as reducing demotivation and shyness. European Journal of Education, 60(3), Article e70174. https://doi.org/10.1111/ejed.70174
Teimouri, Y., Goetze, J., & Plonsky, L. (2019). Second language anxiety and achievement: A meta-analysis. Studies in Second Language Acquisition, 41(2), 363–387. https://doi.org/10.1017/S0272263118000311
Van Manen, M. (2016). Researching lived experience: Human science for an action sensitive pedagogy (2nd ed.). Routledge. https://doi.org/10.4324/9781315421056
Wang, C., & Zou, B. (2025). AI versus teachers and peers: A comparative study on speaking performance, willingness to communicate, self-perceived communicative competence, and foreign language anxiety. International Review of Applied Linguistics in Language Teaching. Advance online publication. https://doi.org/10.1515/iral-2024-0310
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, Article 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
Xia, M., & Guo, S. (2025). Understanding learners’ perceptions of artificial intelligence-mediated informal digital learning of English: A Q methodology approach. Acta Psychologica, 261, Article 105980. https://doi.org/10.1016/j.actpsy.2025.105980
Yan, H., & Singh, M. K. S. (2026). The impact of AI-mediated instruction on speaking proficiency, enjoyment, anxiety, and emotional engagement: A mixed-methods approach. Humanities and Social Sciences Communications, 13(1), Article 568. https://doi.org/10.1057/s41599-026-06705-2
Yaqin, M. A., Adlani, H., Ridwan, & Laili, M. I. (2025). Artificial intelligence in Arabic language learning: A systematic literature review of educational trends and future directions. Al-Muyassar: Journal of Arabic Education, 4(2). https://doi.org/10.31000/vpmkc594
Zheng, Y., & Cheng, L. (2018). How does anxiety influence language performance? From the perspectives of foreign language classroom anxiety and cognitive test anxiety. Language Testing in Asia, 8(1), Article 13. https://doi.org/10.1186/s40468-018-0065-4
Zubair, K. M. A. A. (2026). Artificial intelligence in Arabic language education: Applications, perceptions, and pedagogical integration. Journal of Digital Learning and Distance Education, 4(11), 1977–1985. https://doi.org/10.56778/jdlde.v4i11.701
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