Abstract
With the integration of generative Artificial Intelligence (GenAI) into education, exploring its role in enhancing students’ intercultural competence within language teaching has become a critical research focus. This study employs a qualitative research method to investigate the impact of a GenAI intervention on 38 primary school students (aged 10-12) enrolled in a Model United Nations (MUN) course at a public primary school in Southeast China. Over the course of six weeks, GenAI was integrated into information collection, document editing, and English oral practice, where all materials were exclusively in English. Qualitative data from student reflection journals (RJs) and assignment outputs were analyzed. Results indicate that GenAI-based MUN intervention significantly improved students’ cultural knowledge, skills and attitudes. However, challenges such as potential over-reliance on GenAI and uneven skill development were identified. This study provides practical insights for optimizing GenAI-based teaching methods to foster students’ intercultural competence in primary English language education.
References
Aggarwal, R., & Wu, Y. (2021). Cross‐cultural competence development for business students. Journal of Teaching in International Business, 32(2), 103–108. https://doi.org/10.1080/08975930.2021.1987021
Ailauova, Z., Doğan, Y., & Batdı, V. (2024). Effectiveness of developing intercultural competence of pre-service teachers: a mixed-meta method research. Educational Research and Evaluation, 29(7–8), 422–451. https://doi.org/10.1080/13803611.2024.2359534
Chen, Y. L. (2015). Examining factors in cross-cultural competence development in Taiwan college students. The Asia-Pacific Education Researcher, 24(2), 329-340. https://doi.org/10.1007/s40299-014-0183-4
Chiu, T. K. F., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2023a). Teacher support and student motivation to learn with Artificial Intelligence (AI) chatbot. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2023.2172044
Chiu, T. K. F. (2023b). The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2023.2253861
He, S., Yang, L., Leung, G., Zhou, Q., Tong, R., & Uchikoshi, Y. (2022). Language proficiency and competence: upper elementary students in a Dual-Language Bilingual Education program. Journal of Multilingual and Multicultural Development, 43(6), 502–517. https://doi.org/10.1080/01434632.2021.1987443
Kartal, M. (2020). Facilitating Deep Learning and Professional Skills Attainment in the Classroom: The Value of a Model United Nations Course. Journal of Political Science Education, 17(sup1), 148–168. https://doi.org/10.1080/15512169.2020.1854771
Kundu, A., & Bej, T. (2025). Transforming EFL teaching with AI: A systematic review of empirical studies. International Journal of Artificial Intelligence in Education, 32(1), 3-37, https://doi.org/10.1007/s40593-025-00470-0
Lee, S. M., Ahn, T. Y., & Wu, J. G. (2026). Self-regulated speaking with AI-empowered NPCs in VR. Educational Technology & Society, 29(2), 84–99. https://doi.org/10.30191/ETS.202604_29(2).RP05
Li, Q., & Chan, K. K. (2024). Test takers’ attitudes of using exam-oriented mobile application as a tool to adapt in a high-stakes speaking test. Education and Information Technologies, 29(1), 219–237. https://doi.org/10.1007/s10639-023-12297-0
Liu, X., & Zhang, D. (2025). Learning critically and confidently: A correlation study of the new media literacy and English learning self-efficacy of junior high school students. International Journal of TESOL Studies, 7(1), 88-104. https://doi.org/10.58304/ijts.20250106
Lonner, W. (2013). Cultural competence. In K. Keith (Ed.), The Encyclopedia of Cross‐cultural Psychology. New York: Wiley.https://doi.org/10.1002/9781118339893.wbeccp124
Nfor, S. (2023). Model United Nations: a thematic analysis of Japanese EFL students’ reflections on intercultural communicative competence. Language Learning in Higher Education, 13(2), 353-370. https://doi.org/10.1515/cercles-2023-2031
Pan, S.-Y., & Lo, J.T.Y. (2018). Higher Education and China’s Global Rise: A Neo-tributary Perspective (1st ed.). Routledge. https://doi.org/10.4324/9781315564012
Przytuła, S., Barzykowski, K., Tracz-Krupa, K., Cassar, V., & Said, E. (2024). Developing intercultural competence of students through short-term international mobility programme. International Journal of Training and Development, 28, 169–188. https://doi.org/10.1111/ijtd.12315
Wang, X., & Wang, S. (2024). Exploring Chinese EFL learners’ engagement with large language models: A self-determination theory perspective. Learning and Motivation, 87, 102014. https://doi.org/10.1016/j.lmot.2024.102014
Zhang, D., Wen, L., & Wu, J. G. (2025). Structured or semi-structured? The use of reflection journals in postgraduates’ generative artificial intelligence literacy development in an L2 academic writing context. European Journal of Education, 60(3), e70189. https://doi.org/10.1111/ejed.70189
Zhang, D., Wu, J. G., & Fu, Z. (2024). From shy to fly: Facilitating EFL learners’ willingness to communicate with an AI chatbot and an intelligent tutoring system. System, 127, 103501. https://doi.org/10.1016/j.system.2024.103501
Zhang, D., & Wu, Y. (2023). Becoming smart “digital natives”: Cultivating Chinese English majors’ new media literacy via Journalism English reading and listening. Journal of China Computer-Assisted Language Learning, 3(2), 263-286. https://doi.org/10.1515/jccall-2022-0029
Zhang, D., Wu, Y., & Wu, J. G. (2025). Exploring language learners’ new media literacy: instrument development and validation. Innovation in Language Learning and Teaching, 1-18. https://doi.org/10.1080/17501229.2025.2473597

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2025 Xiaolong Liu, Danyang Zhang (Author)