Artificial Intelligence in Language Teaching in the Context of Higher Vocational Education: A Bibliometric Mapping of Research Trends (2000–2024)

Authors

  • Jing Zhang

    Faculty of Education, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
  • Muhammad Hussin

    Faculty of Education, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
  • Mohamad Zuber Abd Majid

    Faculty of Education, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia

DOI:

https://doi.org/10.30564/fls.v7i9.10958
Received: 8 July 2025 | Revised: 18 July 2025 | Accepted: 24 July 2025 | Published Online: 15 September 2025

Abstract

The integration of artificial intelligence (AI) into language education has gained remarkable momentum over the past two decades. As researchers and educators explore how AI can transform teaching and learning practices, a growing body of literature has emerged to investigate its pedagogical, technological, and ethical implications. This study aims to provide a comprehensive bibliometric analysis of scholarly research on AI in language teaching from 2000 to 2024 in context of higher vocational education. Based on 475 peer-reviewed articles retrieved from the Scopus database, this research employs VOSviewer and Excel to map the intellectual landscape of the field. Key analyses include keyword co-occurrence, author collaboration networks, and temporal publication trends. The findings indicate a significant rise in research activity beginning in 2016, with dominant themes such as intelligent tutoring systems, natural language processing, AI-assisted writing tools, and ethical concerns in educational technology. This study not only identifies conceptual clusters and high-impact publications but also highlights gaps in empirical and longitudinal research. It offers valuable insights for scholars seeking to explore emerging directions in AI-assisted language education. For practitioners, the results emphasize the importance of pedagogical alignment, ethical AI use, and targeted teacher training. The paper concludes by suggesting future avenues for research that integrate interdisciplinary approaches and address the evolving challenges of AI implementation in language training for higher vocational education.

Keywords:

Artificial Intelligence (AI); Bibliometric Analysis; Educational Technology; Language Teaching; VOSviewer

References

[1] Godwin-Jones, R., 2024. Distributed agency in language learning and teaching through generative AI. Language Learning & Technology. 28(2), 5–30.

[2] Teng, M.F., 2024. A systematic review of ChatGPT for English as a foreign language writing: Opportunities, challenges, and recommendations. International Journal of TESOL Studies. 6, 36–57.

[3] Khlaif, Z.N., Ayyoub, A., Hamamra, B., et al., 2024. University teachers’ views on the adoption and integration of generative AI tools for student assessment in higher education. Education Sciences. 14. DOI: https://doi.org/10.3390/educsci14101090

[4] Pettersson, J., Hult, E., Eriksson, T., et al., 2024. Generative AI and teachers—For us or against us? A case study. Preprint, arXiv:2404.03486. DOI: https://doi.org/10.48550/arXiv.2404.03486

[5] Dai, J., Wang, L., He, Y., 2023. Exploring the effect of wiki-based writing instruction on writing skills and writing self-efficacy of Chinese English-as-a-foreign language learners. Frontiers in Psychology. 13, 1069832. DOI: https://doi.org/10.3389/fpsyg.2022.1069832

[6] Reinders, H., Benson, P., 2017. Research agenda: Language learning beyond the classroom. Language Teaching. 50(4), 561–578. DOI: https://doi.org/10.1017/S0261444817000192

[7] Ding, A.C., Ottenbreit-Leftwich, A., Lu, Y.H., et al., 2019. EFL teachers’ pedagogical beliefs and practices with regard to using technology. J Digit Learn Teach Educ. 20–39. DOI: https://doi.org/10.1080/21532974.2018.1537816

[8] Hu, H., Zhou, Q., Hashim, H., 2024. Negotiating identity in the age of ChatGPT: Non-native English researchers’ experiences with AI-assisted academic writing. Humanities and Social Sciences Communications. 12, 965.

[9] Güner, H., Er, E., 2025. AI in the classroom: Exploring students’ interaction with ChatGPT in programming learning. Education and Information Technologies. 30, 12681–12707.

[10] Zawacki-Richter, O., Marín, V.I., Bond, M., et al., 2019. Systematic review of research on artificial intelligence applications in higher education – where are the educators? Int J Educ Technol High Educ. 16, 39.

[11] Van der Meij, H., Veldkamp, S., Leemkuil, H., 2020. Effects of scripting on dialogues, motivation and learning outcomes in serious games. British journal of educational technology. 51(2), 459–472.

[12] Qiao, H., Zhao, A., 2023. Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context. Frontiers in psychology. 14, 1255594.

[13] Feng, W., Lai, X., Zhang, X., et al., 2025. Research on the construction and application of intelligent tutoring system for English teaching based on generative pre-training model. Systems Software and Computing. 7, 200232. DOI: https://doi.org/10.1016/j.sasc.2025.200232

[14] Doğan, Y., Talan, T., 2024. Artificial intelligence in foreign language learning: A bibliometric analysis. Journal of Pedagogical Research. 9(2), 206–230.

[15] Banihashem, S.K., Noroozi, O., Van Ginkel, S., et al., 2022. A systematic review of the role of learning analytics in enhancing feedback practices in higher education. Educational Research Review. 37, 100489.

[16] Crompton, H., Edmett, A., Ichaporia, N., et al., 2024. AI and English language teaching: Affordances and challenges. British Journal of Educational Technology. 55(6), 2503–2529.

[17] Kartal, G., Yeşilyurt, Y.E., 2024. A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022. ReCALL. 36(3), 359–375. DOI: https://doi.org/10.1017/S0958344024000077

[18] Huang, L., Yu, W., Ma, W., et al., 2025. A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions. ACM Transactions on Information Systems. 42, 1–55. DOI: https://doi.org/10.1145/3703155

[19] Warschauer, M., 2000. The changing global economy and the future of English teaching. TESOL Quarterly. 34, 511–535.

[20] Levy, M., 1996. CALL: Context and conceptualization. Oxford University Press: Oxford, UK.

[21] Gu, W., Yu, Z., 2025. A bibliometric analysis of the application of AI chatbots in language learning contexts. Quality & Quantity. 59, 639–661.

[22] Woolf, B., 2010. Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing E-learning. Elsevier & Morgan Kaufmann: Burlington, MA, USA.

[23] Hu, H., Hashim, H., Li, X., 2025. Bridging language and learning: A CLIL-ized TMI model for international students in traditional Chinese medicine. Journal of Medical Education Development. 18(1), 140–146. DOI: https://doi.org/10.61186/edcj.18.1.140

[24] Rahimi, A.R., Teimouri, R., 2025. Advancing language education with ChatGPT: A path to cultivate 21st-century digital skills. Research Methods and Applications in Linguistics, 4(2), 100218. DOI: https://doi.org/10.1016/j.rmal.2025.100218

[25] Xiao, Q., 2024. ChatGPT as an artificial intelligence (AI) writing assistant for EFL learners: An exploratory study of its effects on English writing proficiency. In Proceedings of the 9th International Conference on Information Education and Innovation; pp. 51–56. DOI: https://doi.org/10.1145/3664934.3664946

[26] Wei, P., Wang, X., Dong, H., 2023. The impact of automated writing evaluation on second language writing skills of Chinese EFL learners: A randomized controlled trial. Frontiers in Psychology. 14, 1249991.

[27] Hu, H., Gong, Q., Mohd-Said, N.E., 2025. Exploring a decade of research: A systematic review of computer-based English speaking tests. Forum for Linguistic Studies. 7, 788–803.

[28] Fleckenstein, J., Liebenow, L.W., Meyer, J., 2023. Automated feedback and writing: A multi-level meta-analysis of effects on students' performance. Frontiers in Artificial Intelligence. 6, 1162454.

[29] Brown, T.B., Mann, B., Ryder, N., et al., 2020. Language models are few-shot learners. In Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS); pp. 1877–1901. DOI: https://doi.org/10.48550/arXiv.2005.14165

[30] Levy, M., Stockwell, G., 2013. CALL Dimensions: Options and Issues in Computer-Assisted Language Learning. Routledge: London, UK. DOI: https://doi.org/10.4324/9780203708200

[31] Moslemi Nezhad Arani, S., 2018. Teaching and Researching Computer-Assisted Language Learning. Routledge: London, UK. DOI: https://doi.org/10.26817/16925777.421

[32] Granström, M., Oppi, P., 2025. Assessing Teachers' Readiness and Perceived Usefulness of AI in Education: An Estonian Perspective. Frontiers in Education. 10, 1622240.

[33] Li, K., Peterson, M., Wang, Q., 2024. Out-of-school language learning through digital gaming: A case study from an activity theory perspective. Computer Assisted Language Learning. 37(5–6), 1019–1047.

[34] Wei, X., Wang, L., Lee, L.K., et al., 2025. The effects of generative AI on collaborative problem-solving and team creativity performance in digital story creation: an experimental study. International Journal of Educational Technology in Higher Education. 22(1), 23.

[35] Li, Y., Zhou, X., Yin, H.B., et al., 2025. Design language learning with artificial intelligence (AI) chatbots based on activity theory from a systematic review. Smart Learning Environments. 12, 24. DOI: https://doi.org/10.1186/s40561-025-00379-0

[36] Hossain, M.K., Al Younus, M.A., 2025. Teachers’ perspectives on integrating ChatGPT into EFL writing instruction. TESOL Communications. 4(1), 41–60.

[37] Adeshola, I., Adepoju, A.P., 2024. The opportunities and challenges of ChatGPT in education. Interactive Learning Environments. 32, 6159–6172.

[38] Nguyen, A., Ngo, H.N., Hong, Y., et al., 2023. Ethical principles for artificial intelligence in education. Education and information technologies. 28(4), 4221–4241.

[39] Zeng, J., Yang, J., 2024. English language hegemony: retrospect and prospect. Humanities and Social Sciences Communications. 11(1), 1–9.

[40] Hu, H., Du, K., Hashim, H.U., et al., 2025. Educational escape rooms for French grammar: A technology-in-practice approach. Language Learning & Technology. 29(1), 1–15.

[41] Tseng, Y.C., Lin, Y.H., 2024. Enhancing English as a foreign language (EFL) learners’ writing with ChatGPT: A university-level course design. Electronic Journal of e-Learning. 22, 78–97.

[42] Liu, W., 2025. Language teacher AI literacy: insights from collaborations with ChatGPT. Journal of China Computer-Assisted Language Learning. DOI: https://doi.org/10.1515/jccall-2024-0030

[43] Alam, S., 2025. Measuring the effects of mobile and social networking technology on the enhancement of English language skills: A comparative study. International Journal of Interactive Mobile Technologies. 19, 79–92.

[44] Son, J.B., Ružić, N.K., Philpott, A., 2025. Artificial intelligence technologies and applications for language learning and teaching. Journal of China Computer-Assisted Language Learning. 5(1), 94–112.

[45] Weng, X., Chiu, T.K., 2023. Instructional design and learning outcomes of intelligent computer assisted language learning: Systematic review in the field. Computers and Education: Artificial Intelligence. 4, 100117.

[46] Mekheimer, M., 2025. Generative AI-assisted feedback and EFL writing: a study on proficiency, revision frequency and writing quality. Discover Education. 4(1), 170.

[47] Meurers, D., 2024. Natural language processing and language learning. In: Encyclopedia of Applied Linguistics. DOI: https://doi.org/10.1002/9781405198431.wbeal0858.pub2

[48] Tlili, A., Padilla-Zea, N., Garzón, J., et al., 2022. The changing landscape of mobile learning pedagogy: A systematic literature review. Interactive Learning Environments. 31(10), 6462–6479. DOI: https://doi.org/10.1080/10494820.2022.2039948

[49] Kohnke, L., Moorhouse, B.L., Zou, D., 2023. ChatGPT for language teaching and learning. Relc Journal. 54(2), 537–550.

[50] Kessler, G., 2018. Technology and the future of language teaching. Foreign language annals. 51(1), 205–218.

[51] Sun, Z., Anbarasan, M., Praveen Kumar, D.J.C.I., 2021. Design of online intelligent English teaching platform based on artificial intelligence techniques. Computational Intelligence. 37(3), 1166–1180.

[52] Chang, C.W., Lee, J.H., Chao, P.Y., et al., 2010. Exploring the possibility of using humanoid robots as instructional tools for teaching a second language in primary school. Journal of Educational Technology & Society. 13(2), 13–24.

[53] Parmaxi, A., 2023. Virtual reality in language learning: A systematic review and implications for research and practice. Interactive Learning Environments. 31(1), 172–184.

[54] Alemi, M., Meghdari, A., Ghazisaedy, M., 2014. Employing humanoid robots for teaching English language in Iranian junior high-schools. International Journal of Humanoid Robotics. 11(03), 1450022.

[55] Kohnke, L., Moorhouse, B.L., Zou, D., 2023. Exploring generative artificial intelligence preparedness among university language instructors: A case study. Computers and Education: Artificial Intelligence. 5, 100156.

[56] Basal, A., 2015. The implementation of a flipped classroom in foreign language teaching. Turkish Online Journal of Distance Education. 16(4), 28–37.

[57] Klimova, B., Pikhart, M., Benites, A.D., et al., 2023. Neural machine translation in foreign language teaching and learning: a systematic review. Education and Information Technologies. 28(1), 663–682.

[58] Tseng, J.J., Chai, C.S., Tan, L., et al., 2022. A critical review of research on technological pedagogical and content knowledge (TPACK) in language teaching. Computer Assisted Language Learning. 35(4), 948–971.

[59] Rahman, A., Raj, A., Tomy, P., et al., 2024. A comprehensive bibliometric and content analysis of artificial intelligence in language learning: Tracing between the years 2017 and 2023. Artificial Intelligence Review. 57, 107. DOI: https://doi.org/10.1007/s10462-023-10643-9

[60] Chandel, P., Lim, F.V., 2025. Generative AI and literacy development in the language classroom: A systematic review of literature. Ubiquitous Learning. 18, 31–49.

[61] Chen, A., Jia, J., Li, Y., et al., 2025. Investigating the effect of role-play activity with GenAI agent on EFL students’ speaking performance. Journal of Educational Computing Research. 63, 99–125.

[62] Lo, C.K., Yu, P.L.H., Xu, S., et al., 2024. Exploring the application of ChatGPT in ESL/EFL education and related research issues: A systematic review of empirical studies. Smart Learning Environments. 11(1), 50.

[63] Chan, S.T.S., Lo, N.P.K., Wong, A.M.H., 2024. Enhancing university level English proficiency with generative AI: Empirical insights into automated feedback and learning outcomes. Contemporary Educational Technology. 16(4), ep541. DOI: https://doi.org/10.30935/cedtech/15607

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How to Cite

Zhang, J., Muhammad Hussin, & Mohamad Zuber Abd Majid. (2025). Artificial Intelligence in Language Teaching in the Context of Higher Vocational Education: A Bibliometric Mapping of Research Trends (2000–2024). Forum for Linguistic Studies, 7(9), 850–864. https://doi.org/10.30564/fls.v7i9.10958

Issue

Vol. 7 , Iss. 9 (September 2025)

Article Type

Review

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Copyright © 2025 Jing Zhang, Muhammad Hussin, Mohamad Zuber Abd Majid

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.