BEYOND TOOLS AND TUTORS: EXPLORING VIETNAMESE EFL STUDENTS’ METAPHORICAL CONSTRUCTIONS OF HUMAN-AI COLLABORATION
DOI:
https://doi.org/10.46827/ejes.v13i7.6907کلمات کلیدی:
conceptual metaphor, generative AI, human-AI collaboration, EFL learners, Vietnamچکیده
This study examines the metaphors through which Vietnamese university students of English as a Foreign Language (EFL) construct their collaboration with generative AI (GenAI). Public and academic discourse commonly frames GenAI as either a tool that executes instructions or a tutor that explains and corrects, yet recent evidence suggests that learners enact a wider range of relationships. Adopting an exploratory qualitative design grounded in Conceptual Metaphor Theory, the study elicited metaphors from 42 EFL students through a sentence-completion task and conducted follow-up interviews with 21 of them. Metaphors were identified using the Metaphor Identification Procedure and read along a continuum from tool to tutor to partner. Ten source metaphors were identified. The most frequent were AI as a co-pilot, a translator of thoughts, a GPS, a mirror, and a personal learning ecosystem. Grouped by relational position, tool and environment metaphors were the most common (38.1 percent), followed by guiding metaphors (26.2 percent), partner metaphors (23.8 percent), and a reflective-surface metaphor (11.9 percent). The single most frequent metaphor, the co-pilot, was a partner image, although the students who used it consistently reasserted their own authority and described a learner-led collaboration. Notably, no metaphor framed GenAI as a risk or a source of dependency, and every conceptualization was enabling in orientation. The findings bring the Vietnamese student voice to debates about human-AI collaboration and offer metaphor as a practical lens for teachers who wish to surface and reshape the assumptions students bring to AI-assisted language learning.مراجع
Ab Rashid, R., Al-Ramahi, R., Harb alQaryouti, M., & Al-Smadi, O. A. (2025). Figurative language as identity work: A discourse analysis of Syrian refugee narratives. SAGE Open, 15(4). https://doi.org/10.1177/21582440251395388
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Cameron, L., & Maslen, R. (2010). Metaphor analysis: Research practice in applied linguistics, social sciences and the humanities. Equinox. Retrieved from https://utppublishing.com/doi/preview-pdf/10.3138/9781845534479
Chatreepinyo, P., & Wongthai, N. (2025). Metaphor salience in Thai higher education: A cognitive linguistics perspective. 3L: Language, Linguistics, Literature, 31(4), 434-449. https://doi.org/10.17576/3l-2025-3104-26
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), Article 22. https://doi.org/10.1186/s41239-023-00392-8
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460-474. https://doi.org/10.1080/14703297.2023.2195846
Gorsky, M., & Levin, I. (2025). Cognifying education: Mapping AI’s transformative role in emotional, creative, and collaborative learning. arXiv. https://arxiv.org/abs/2509.25266
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103. https://doi.org/10.1016/j.lindif.2023.102274
Kövecses, Z. (2010). Metaphor: A practical introduction (2nd ed.). Oxford University Press. Retrieved from https://books.google.ro/books/about/Metaphor.html?id=zlsm5XpRGYMC&redir_esc=y
Kövecses, Z. (2020). Extended conceptual metaphor theory. Cambridge University Press. Retrieved from https://doi.org/10.6035/CLR.2021.25.18
Lakoff, G., & Johnson, M. (1980). Metaphors we live by. University of Chicago Press. Retrieved from https://books.google.ro/books/about/Metaphors_We_Live_By.html?id=r6nOYYtxzUoC&redir_esc=y
Lapidot-Lefler, N. (2026). Amplifying vulnerable youths’ voices: Transforming thinking skills through inclusive pedagogies. Thinking Skills and Creativity, 62. https://doi.org/10.1016/j.tsc.2026.102256
Maheshwary, P., Liu, Q., & Mao, R. (2024). Investigating the role of metaphors in human-AI conversation and engagement. In 2024 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 471-478). IEEE. https://doi.org/10.1109/ICDMW65004.2024.00066
Marconi, L., Brasca, F., & Ferri, P. M. (2026). Evaluating large language models as academic tutors: A human-AI collaboration approach for structured literature review. In Lecture Notes in Computer Science (Vol. 16346, pp. 197-213). Springer. https://doi.org/10.1007/978-3-032-13187-4_14
Mercer, S. (2011). Understanding learner agency as a complex dynamic system. System, 39(4), 427-436. https://doi.org/10.1016/j.system.2011.08.001
Nguyen, H., & Huynh, A. T. (2026). Metaphor: Mapping the conceptual landscape. VNU Journal of Foreign Studies, 42(1), 1-24. https://doi.org/10.63023/2525-2445/jfs.ulis.5626
Nguyen, T. H., Nguyen Ta, N. Y., & Son, T. M. (2026). An exploratory study of Vietnamese EFL students’ engagement with AI tools: From acceptance to ethical use. The Journal of AsiaTEFL, 23(1), 52-66. https://doi.org/10.18823/asiatefl.2026.23.1.4.52
Nguyen, T. M. (2024). Conceptual metaphors of artificial intelligence and AI development in The Guardian newspaper. VNU Journal of Foreign Studies, 40(4), 128-141. https://doi.org/10.63023/2525-2445/jfs.ulis.5345
Nie, W., Yuan, Z., Hu, J., Ha, W., Feng, X., Zhang, Q., Wang, R., Zhu, J., & Li, W. (2026). Construction and application of an agent-driven active learning ecosystem under human-AI collaboration. In 2026 International Conference on Generative Artificial Intelligence and Information Security (GAIIS) (pp. 723-727). IEEE. https://doi.org/10.1109/GAIIS69281.2026.11519201
Olivier, C., & Weilbach, L. (2026). Using a GenAI chatbot to facilitate personalized learning: A case study in online higher education. In Communications in Computer and Information Science (Vol. 2787, pp. 216-227). Springer. https://doi.org/10.1007/978-3-032-15463-7_18
Oxford, R. L., Tomlinson, S., Barcelos, A., Harrington, C., Lavine, R. Z., Saleh, A., & Longhini, A. (1998). Clashing metaphors about classroom teachers: Toward a systematic typology for the language teaching field. System, 26(1), 3-50. https://doi.org/10.1016/S0346-251X(97)00071-7
Pragglejaz Group. (2007). MIP: A method for identifying metaphorically used words in discourse. Metaphor and Symbol, 22(1), 1-39. https://doi.org/10.1080/10926480709336752
Putri, S. N., & Jaya, S. (2026). EFL students’ use of AI as collaborative learning tools: Practices and perspectives. English Learning Innovation, 7(1), 176-192. https://doi.org/10.22219/englie.v7i1.42663
Ratniyom, J., Boonphadung, S., Intaraprasit, M., & Chumkaeo, P. (2026). Instructor and AI roles in the chemistry classroom: Future science teachers’ perceptions in a ChatGPT-enhanced formative assessment. Chemistry Teacher International. Advance online publication. https://doi.org/10.1515/cti-2025-0097
Ritchie, D., Nixon, N., Tate, T., & Warschauer, M. (2026). From wandering to collaboration: Discourse patterns in middle school generative AI use. In 16th International Learning Analytics and Knowledge Conference (LAK 2026) (pp. 436-446). https://doi.org/10.1145/3785022.3785094
Saban, A., Kocbeker, B. N., & Saban, A. (2007). Prospective teachers’ conceptions of teaching and learning revealed through metaphor analysis. Learning and Instruction, 17(2), 123-139. https://doi.org/10.1016/j.learninstruc.2007.01.003
Saqr, M., Misiejuk, K., & López-Pernas, S. (2025). Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics? arXiv. https://arxiv.org/abs/2508.10919
Schmitt, R. (2005). Systematic metaphor analysis as a method of qualitative research. The Qualitative Report, 10(2), 358-394. https://doi.org/10.46743/2160-3715/2005.1854
Sun, W. (2026). Human-agent interaction and collaboration in education: A review and future research prospects. In Lecture Notes in Computer Science (Vol. 16064, pp. 262-267). Springer. https://doi.org/10.1007/978-3-032-03873-9_34
Vo, L., & Huynh, N. (2025). Vietnamese EFL teachers’ perspectives on ChatGPT: A conceptual metaphor analysis. Arab World English Journal, 16(1), 162-178. https://dx.doi.org/10.24093/awej/vol16no1.10%20
Wan, W., Low, G. D., & Li, M. (2011). From students’ and teachers’ perspectives: Metaphor analysis of beliefs about EFL teachers’ roles. System, 39(3), 403-415. https://doi.org/10.1016/j.system.2011.07.012
Yan, Y., Sun, W., & Zhao, X. (2024). Metaphorical conceptualizations of generative artificial intelligence use by Chinese university EFL learners. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1430494
دانلودها
چاپ شده
شماره
نوع مقاله
مجوز
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).


