Digital Technologies Research and Applications

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Fostering Intercultural Competence Through AI‑Driven Tools: A Case Study of Linguistic and Cultural Adaptability in Chinese EFL Education

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https://doi.org/10.54963/dtra.v4i1.1131
Ma, G., & Yang, X. (2025). Fostering Intercultural Competence Through AI‑Driven Tools: A Case Study of Linguistic and Cultural Adaptability in Chinese EFL Education. Digital Technologies Research and Applications, 4(1), 158–169. https://doi.org/10.54963/dtra.v4i1.1131
Volume 4 Issue 1: March 2025
Copyright (c) 2025 Guihua Ma, Xiangjuan Yang
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Authors

  • Guihua Ma

    English department, Xi'an Mingde Institute of Technology, Xi'an 710077, China
  • Xiangjuan Yang

    English department, Xi'an Mingde Institute of Technology, Xi'an 710077, China

Intercultural competence has become an essential skill for effective global communication, particularly for English as a Foreign Language (EFL) learners. The integration of artificial intelligence (AI) into educational practices presents significant potential for enhancing both linguistic proficiency and intercultural capabilities. However, there remains a gap in understanding how AI technologies can specifically facilitate the development of intercultural competence among EFL learners. This study adopts a mixed-methods approach to examine the impact of AI technologies on intercultural competence development among 120 Chinese undergraduate EFL students. Quantitative analysis of pre-and post-test data revealed significant improvements in students' cultural knowledge, attitudinal openness, communication skills, and cultural awareness, with paired t-tests confirming the statistical significance of these gains. Qualitative data, collected through interviews, classroom observations, and platform usage records, further supported these findings, highlighting enhanced emotional engagement, practical application of skills, and immersive learning experiences facilitated by AI tools. The results indicate that integrating AI technologies into language curricula can effectively foster intercultural understanding and communication abilities. This study contributes to the existing literature by providing empirical evidence on the efficacy of AI-based interventions in promoting intercultural competence, offering practical implications for educators and policymakers seeking to leverage AI in language teaching and learning contexts.

Keywords:

Intercultural Competence Chinese EFL Learners AI Tools EFL Education

References

  1. Zhang, X.; Umeanowai, K.O. Exploring the Transformative Influence of Artificial Intelligence in EFL Context: A Comprehensive Bibliometric Analysis. Educ. Inf. Technol. 2024, 30, 3183–3198. DOI: https://doi.org/10.1007/s10639-024-12937-z
  2. Khasawneh, M.A.S. The Potential of AI in Facilitating Cross-Cultural Communication Through Translation. J. Namib. Stud. Hist. Polit. Cult. 2023, 37, 10–130.
  3. Chen, L.; Chen, P.; Lin, Z. Artificial Intelligence in Education: A Review. Comput. Educ. Artif. Intellig. 2020, 1, 100005. DOI: https://doi.org/10.1109/ACCESS.2020.2988510
  4. Jiang, R. How Does Artificial Intelligence Empower EFL Teaching and Learning Nowadays? A Review on Artificial Intelligence in the EFL Context. Front. Psychol. 2022, 13, 1049401. DOI: https://doi.org/10.3389/fpsyg.2022.1049401
  5. Chen, X.; Ma, L.; Su, D.; et al. AI-Enhanced Cross-Cultural Competence in STEM Education. In Proceedings of the International Conference on New Findings in Humanities and Social Sciences, Paris, France, 15–17 May 2024. Vol. 1, pp. 29–43. DOI: https://doi.org/10.33422/hsconf.v1i1.267
  6. Dai, C.P.; Ke, F.; Pan, Y.; et al. Effects of Artificial Intelligence-Powered Virtual Agents on Learning Outcomes in Computer-Based Simulations: A Meta-Analysis. Educ. Psychol. Rev. 2024, 36, 31. DOI: https://doi.org/10.1007/s10648-024-09855-4
  7. Yu, Z.; Xu, W. A Meta-Analysis and Systematic Review of the Effect of Virtual Reality Technology on Users’ Learning Outcomes. Comput. Appl. Eng. Educ. 2022, 30, 1470–1484. DOI: https://doi.org/10.1002/cae.22532
  8. Ma, D.; Akram, H.; Chen, I.H. Artificial Intelligence in Higher Education: A Cross-Cultural Examination of Students’ Behavioral Intentions and Attitudes. Int. Rev. Res. Open Dis. 2024, 25, 134–157. DOI: https://doi.org/10.19173/irrodl.v25i3.7703
  9. Pugliese, R.; Regondi, S.; Marini, R. Machine Learning-Based Approach: Global Trends, Research Directions, and Regulatory Standpoints. DSM 2021, 4, 19–29. DOI: https://doi.org/10.1016/j.dsm.2021.12.002
  10. Byram, M. Intercultural Communicative Competence. In Teaching and Assessing Intercultural Communicative Competence Multilingual Matters; Multilingual Matters: Clevedon, UK, 1997; 1, pp. 26–35.
  11. Canale, M.; Swain, M. Theoretical Bases of Communicative Approaches to Second Language Teaching and Testing. Appl. Linguist. 1980, 1, 1–47. DOI: https://doi.org/10.1093/applin/I.1.1
  12. Lin, C.C.; Huang, A.Y.; Lu, O.H. Artificial Intelligence in Intelligent Tutoring Systems Toward Sustainable Education: A Systematic Review. Smart Learn. Environ. 2023, 10, 41. DOI: https://doi.org/10.1186/s40561-023-00260-y
  13. Huang, W.; Hew, K.F.; Fryer, L.K. Chatbots for Language Learning—Are They Really Useful? A Systematic Review of Chatbot-Supported Language Learning. J. Comput. Assist. Learn. 2022, 38, 237–257. DOI: https://doi.org/10.1111/jcal.12610
  14. Jeon, J.; Lee, S.; Choi, S. A Systematic Review of Research on Speech-Recognition Chatbots for Language Learning: Implications for Future Directions in the Era of Large Language Models. Interact. Learn. Envir. 2023, 32, 1–19. DOI: https://doi.org/10.1080/10494820.2023.2204343
  15. Tafazoli, D. From Virtual Reality to Cultural Reality: Integration of Virtual Reality into Teaching Culture in Foreign Language Education. Int. J. Multicult. Educ. 2024, 18, 6–24. DOI: https://doi.org/10.1108/JME-12-2023-0135
  16. Yeh, H.C.; Tseng, S.S.; Heng, L. Enhancing EFL Students’ Intracultural Learning Through Virtual Reality. INTERACT LEARN ENVIR 2022, 30, 1609–1618. DOI: https://doi.org/10.1080/10494820.2020.1734625
  17. Liu, S.; Gao, S.; Ji, X. Beyond Borders: Exploring the Impact of Augmented Reality on Intercultural Competence and L2 Learning Motivation in EFL Learners. Front. Psychol. 2023, 14, 1234905. DOI: https://doi.org/10.3389/fpsyg.2023.1234905
  18. Xia, Y.; Shin, S.Y.; Kim, J.C. Cross-Cultural Intelligent Language Learning System (CILS): Leveraging AI to Facilitate Language Learning Strategies in Cross-Cultural Communication. Appl. Sci. 2024, 14, 5651. DOI: https://doi.org/10.3390/app14135651
  19. De la Vall, R.R.F.; Araya, F.G. Exploring the Benefits and Challenges of AI-Language Learning Tools. Int. J. Soc. Sci. Humanit. Invent. 2023, 10, 7569–7576. DOI: https://doi.org/10.18535/ijsshi/v10i01.02
  20. Dakakni, D.; Safa, N. Artificial Intelligence in the L2 Classroom: Implications and Challenges on Ethics and Equity in Higher Education: A 21st Century Pandora’s Box. Comput. Educ. Artif. Intellig. 2023, 5, 100179. DOI: https://doi.org/10.1016/j.caeai.2023.100179
  21. Reid, P. Theoretical and Practical Advances in the Assessment of Cross-Cultural Competence. In Advances in Design for Cross-Cultural Activities Part I; Schmorrow, D.D., Nicholson, D.M., CRC Press: Boca Raton, FL, USA, 2012; pp. 317–329. DOI: https://doi.org/10.1201/b12316
  22. Huiying, X.; Qiang, M. College English Cross-Cultural Teaching Based on Cloud Computing MOOC Platform and Artificial Intelligence.J Intell Fuzzy Syst 2021, 40, 7335–7345. DOI: https://doi.org/10.3233/JIFS-189558
  23. Zhang, Z. The Cultivation of Cross-Cultural Communicative Competence in English Teaching under the Background of Artificial Intelligence and Big Data. Wirel. Commun. Mob. Com. 2022, 2022, 9566066. DOI: https://doi.org/10.1155/2022/9566066
  24. Karakas, A. Breaking Down Barriers with Artificial Intelligence (AI): Cross-Cultural Communication in Foreign Language Education. In Transforming the Language Teaching Experience in the Age of AI; IGI Global: Hershey, PA, USA, 2023; pp. 215–233. DOI: https://doi.org/10.4018/978-1-6684-9893-4.ch012
  25. Long, J.; Lin, J. An Empirical Study on Cultivating College Students’ Cross-Cultural Communicative Competence Based on the Artificial-Intelligence English-Teaching Mode. Front. Psychol. 2022, 13, 976310. DOI: https://doi.org/10.3389/fpsyg.2022.976310
  26. Owoc, M.L.; Sawicka, A.; Weichbroth, P. Artificial Intelligence Technologies in Education: Benefits, Challenges and Strategies of Implementation. In IFIP International Workshop on Artificial Intelligence for Knowledge Management; Springer: Cham, Switzerland, 2019; pp. 37–58. DOI: https://doi.org/10.1007/978-3-030-85001-2
  27. Zmire, Z.; Chen, X. AI’s Role in Enhancing Cross Cultural Competence and Leadership through Online Education Programs. Int. Conf. New Find. Humanit. Soc. Sci. 2024, 1, 1–16. DOI: https://doi.org/10.33422/hsconf.v1i1.268