From Code-Switching to Digital Translanguaging in Indonesian AI-Assisted EFL Contexts
Keywords:
Artificial Intelligence, Translanguaging, Code-Switching, English Language Learning, Digital PedagogyAbstract
The development of artificial intelligence (AI) in the last five years has significantly changed the landscape of foreign language learning. This study aims to explore the shift in code-switching practices towards translanguaging in the context of AI-assisted English learning among English Education students at the University of Muhammadiyah Parepare. Using a qualitative case-study approach, data were obtained through semi-structured interviews and observations of 12 students from various semesters. Data analysis was conducted using open, axial, and selective coding to identify key themes related to students' experiences, perceptions, and adaptive strategies in using AI. The results of the study show that students no longer use two languages separately but dynamically integrate Indonesian and English to build understanding, expand vocabulary, and improve academic writing skills. Applications such as ChatGPT, Grammarly, Google Translate, and Duolingo act as digital translanguaging spaces that allow students to interact across languages flexibly and personally. Nevertheless, students still consider that AI cannot replace the role of lecturers in affective aspects and social interaction. This study confirms that AI functions not only as a technological aid but also as a linguistic mediator, shaping the way of thinking and language of the digital generation. The implications of this study highlight the importance of educators' roles in guiding the critical and reflective use of AI, as well as the need for a pedagogical approach that integrates translanguaging with technology-based learning.
References
Avouris, N. (2025). AI Conversational Tutors in Foreign Language Learning: A Mixed-Methods Evaluation Study. Proceedings 14th Panhellenic Conference ICT in Education HCICTE 2025, 10. https://doi.org/https://doi.org/10.48550/arXiv.2508.05156
Bailey, A. L., Abraham, M. E., Dong, J. Y., Torres, I. M., Wang, Y. P., Zamora, E., & Zhang, X. (2025). Translanguaging: Conceptual underpinnings of equity-oriented instructional and assessment practices with adolescent multilingual learners. Linguistics and Education, 87, 101418. https://doi.org/10.1016/J.LINGED.2025.101418
Bayly-Castaneda, K., Ramirez-Montoya, M. S., & Morita-Alexander, A. (2024). Crafting personalized learning paths with AI for lifelong learning: a systematic literature review. Frontiers in Education, 9(August), 1–12. https://doi.org/10.3389/feduc.2024.1424386
Benjamin, S. A., Olukunle, O. A., Akoh, A., Temitayo, O. A., Femi, O., & Farayola, O. A. (2024). Ethical AI in practice: Balancing technological advancements with human values. International Journal of Science and Research Archive, 11(1). https://doi.org/10.30574/ijsra.2024.11.1.0218
Chang, W. L., & Sun, J. C. Y. (2024). Evaluating AI’s impact on self-regulated language learning: A systematic review. System, 126, 103484. https://doi.org/10.1016/J.SYSTEM.2024.103484
Criollo-C, S., Altamirano-Suárez, E., Jaramillo-Villacís, L., Vidal-Pacheco, K., Guerrero-Arias, A., & Luján-Mora, S. (2022). Sustainable Teaching and Learning through a Mobile Application: A Case Study. Sustainability (Switzerland), 14(11). https://doi.org/10.3390/su14116663
Cui, P., & Sachan, M. (2023). Adaptive and Personalized Exercise Generation for Online Language Learning. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1. https://doi.org/10.18653/v1/2023.acl-long.567
Darwin, R. D. M. N. S. N. L. E. D., & Marzuki. (2024). Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2023.2290342
Fahrni, D. D. D., Iten, G., Prasse, D., & Hascher, T. (2025). Teachers’ practices in the use of digital technology to promote students’ self-regulated learning and metacognition: A systematic review. Teaching and Teacher Education, 165(January). https://doi.org/10.1016/j.tate.2025.105150
Felix, C. V. (2020). The Role of the Teacher and AI in Education. https://doi.org/10.1108/s2055-364120200000033003
Garcia, O., & Wei, L. (2014). Translanguiging Language, Bilingualism and Education (1st ed.). PALGRAVE MACMILLAN. https://doi.org/10.1057/9781137385765
García, O., Wei, L., García, O., & Wei, L. (2014). Translanguaging: Language, bilingualism and education. In Translanguaging: Language, Bilingualism and Education (1st ed.). PALGRAVE MACMILLAN. https://doi.org/10.1057/9781137385765
Halkiopoulos, C., & Gkintoni, E. (2024). Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis. Electronics (Switzerland), 13(18). https://doi.org/10.3390/electronics13183762
Ho, W. Y. J., & Tai, K. W. H. (2024). Translanguaging in digital learning: the making of translanguaging spaces in online English teaching videos. International Journal of Bilingual Education and Bilingualism, 27(9). https://doi.org/10.1080/13670050.2021.2001427
Ji, H., Han, I., & Ko, Y. (2023). A systematic review of conversational AI in language education: focusing on the collaboration with human teachers. In Journal of Research on Technology in Education (Vol. 55, Issue 1). https://doi.org/10.1080/15391523.2022.2142873
Klyshbekova, M. (2023). Pedagogical translanguaging: by Jasone Cenoz, Durk Gorter, Cambridge: Cambridge University Press, 2021, 58 pp., ISBN 9781009014403 (hbk): £15.00. Language and Education, 37(4), 546–549. https://doi.org/https://doi.org/10.1080/09500782.2022.2088240
Kuo, Y. K., Batool, S., Devi, S., Tahir, T., & Yu, J. (2024). Exploring the impact of emotionalized learning experiences on the affective domain: A comprehensive analysis. Heliyon, 10(1). https://doi.org/10.1016/j.heliyon.2023.e23263
Lee, H. (2020). A Systematic Review of Artificial Intelligence Use in English Learning: Focus on Higher Education. The Journal of Humanities and Social Sciences 21, 11(6). https://doi.org/10.22143/hss21.11.6.143
Loginov, A. (2025). Digital metacognition: Awareness, regulation, and analysis of thinking in digital environments. Next Research, 2(4), 100770. https://doi.org/10.1016/J.NEXRES.2025.100770
Lu, C., & Gu, M. M. (2024). Review of research on digital translanguaging among teachers and students: A visual analysis through CiteSpace. System, 123, 103314. https://doi.org/10.1016/J.SYSTEM.2024.103314
Lu, C., Gu, M. M., & Lee, J. C.-K. (2023). A systematic review of research on translanguaging in EMI and CLIL classrooms. International Journal of Multilingualism, 22(2), 1033–1053. https://doi.org/10.1080/14790718.2023.2256775.
Martin, R., & Wilson, S. (2025). Uncovering the emotional dimension of developing teaching practice through uncertainty: a multimodal methodology. International Journal for Academic Development, 30(3), 331–344. https://doi.org/10.1080/1360144X.2024.2358832
Merta, L. W. S., Ratminingsih, N. M., & Budasi, I. G. (2023). The Integration of Technology in English Language Teaching to Stimulate Students’ Critical Thinking. Language Circle: Journal of Language and Literature, 17(2). https://doi.org/10.15294/lc.v17i2.39097
Miles, M. B., & Huberman, A. M. (1994). Miles Huberman, Data Analysis, Qualitative Data Analysis: A Methods Sourcebook Edition. Qualitative Data Analysis: A Methods Sourcebook.
Miles, M. b, Huberman, M. a, & Saldana, J. (1994). Qualitative Data Analysis - A Method Sourcebook. In Sage Publications.
Moraru, M., Bakker, A., Akkerman, S., Zenger, L., Smit, J., & Blom, E. (2025). Translanguaging within and across learning settings: A systematic review focused on multilingual children with a migration background engaged in content learning. Review of Education, 13(2), 1–46. https://doi.org/https://doi.org/10.1002/rev3.70069
Muñoz-Basols, J., Craig, N., Lafford, B. A., & Godev, C. (2023). Potentialities of Applied Translation for Language Learning in the Era of Artificial Intelligence. Hispania, 106(2). https://doi.org/10.1353/hpn.2023.a899427
Pantao, A. (2021). Ethnolinguistic Vitality of the Subanen Tribe in Barangay Sebasi, Clarin. International Journal of Linguistics, Literature and Translation, 4(2). https://doi.org/10.32996/ijllt.2021.4.2.16
Pennington, V., Howell, E., Kaminski, R., Ferguson-Sams, N., Gazioglu, M., Mittapalli, K., & Banerjee, A. (2024). Translanguaging with Digital, Collaborative Writing: Early MultilingualComposers. The Reading Teacher, 78(1), 27–36. https://doi.org/https://doi.org/10.1002/trtr.2344
Sajja, R., Yusuf, S., Muhammed, C., Cwiertny, D., & Demir, I. (2023). Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. ArXiv, 1–29. https://doi.org/https://doi.org/10.48550/arXiv.2309.10892
Suh, S. (2025). Investigating the Impact of Personalized AI Tutors on Language Learning Performance. ArXiv, 1–16. https://doi.org/https://doi.org/10.48550/arXiv.2505.02443
Sujannah, W. D., Suwarso, P. N., & Unsiah, F. (2025). The correlation between ChatGPT use and learning autonomy among ESP students. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2517508
Waluyo, B., & Rouaghe, F. (2025). Beyond Teacher-Led Approaches: Student-Initiated Translanguaging With Artificial Intelligence Tools in Foreign Language Acquisition. Sage Open, 15(3), 1–17. https://doi.org/https://doi.org/10.1177/21582440251362998
Williams, C. (1994). An evaluation of teaching and learning methods in the context of bilingual secondary education. Unpublished Doctoral Thesis (University of Wales, Bangor). University of Wales, Bangor.
Yang, H., & Kyun, S. (2022). The current research trend of artificial intelligence in language learning: A systematic empirical literature review from an activity theory perspective. Australasian Journal of Educational Technology, 38(5). https://doi.org/10.14742/ajet.7492
Yang, W., & Lin, C. (2025). Translanguaging with generative AI in EFL writing: Students’ practices and perceptions. Journal of Second Language Writing, 67, 101181. https://doi.org/10.1016/J.JSLW.2025.101181
Zhu, K., & Li, X. (2025). Enhancing academic writing through translanguaging strategies: a case study of Chinese students. Innovation in Language Learning and Teaching, 1–17. https://doi.org/https://doi.org/10.1080/17501229.2025.2517305
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