Artificial Intelligence in Mobile-Interactive EFL Learning Environments: A Bibliometric Analysis.
Saved in:
| Title: | Artificial Intelligence in Mobile-Interactive EFL Learning Environments: A Bibliometric Analysis. |
|---|---|
| Authors: | Bo, Zhou1, Pek, LimSeong1 seongpek.lim@newinti.edu.my, Kabir, Nahdia2, Bouteraa, Mohamed3, Asna, Asna4 |
| Source: | International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 8, p33-49. 17p. |
| Subjects: | Artificial intelligence, English as a foreign language, Computer assisted instruction, Chatbots, East Asians, Citation analysis, Bibliometrics, Mobile learning |
| Geographic Terms: | East Asia, China, Hong Kong (China) |
| Abstract: | In the past five years, artificial intelligence (AI) has become increasingly embedded in technology-enhanced and mobile-interactive English as a foreign language (EFL) learning environments. However, the overall structure of knowledge production in this domain remains poorly understood. This study therefore conducts a bibliometric analysis to map publication patterns on AI-mediated EFL learning environments. Peer-reviewed SSCI-indexed journal articles published between 2021 and 2025 were retrieved from the Web of Science (WoS) Core Collection; 311 eligible articles were analyzed. Descriptive performance indicators, citation-based mapping, and network analysis were applied to identify influential documents, authors, institutions, journals, and countries. The findings show an exponential rise in publications and citations, but this growth is uneven. Knowledge production is overwhelmingly concentrated in East Asia, particularly Mainland China and Hong Kong, while research is dominated by chatbot-mediated and mobile-interactive AI applications published in a small cluster of technology-enhanced and interactive learning journals. The field is expanding rapidly but remains conceptually narrow and geographically concentrated. This study provides a structural baseline for future inquiry and highlights the need to widen AI modalities, strengthen theory-linked constructs, and advance cross-regional comparative designs to support cumulative knowledge development in mobile-interactive EFL learning contexts. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
