Artificial Intelligence in Mobile-Interactive EFL Learning Environments: A Bibliometric Analysis.
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| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193266428 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial Intelligence in Mobile-Interactive EFL Learning Environments: A Bibliometric Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bo%2C+Zhou%22">Bo, Zhou</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pek%2C+LimSeong%22">Pek, LimSeong</searchLink><relatesTo>1</relatesTo><i> seongpek.lim@newinti.edu.my</i><br /><searchLink fieldCode="AR" term="%22Kabir%2C+Nahdia%22">Kabir, Nahdia</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bouteraa%2C+Mohamed%22">Bouteraa, Mohamed</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Asna%2C+Asna%22">Asna, Asna</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 8, p33-49. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22English+as+a+foreign+language%22">English as a foreign language</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22East+Asians%22">East Asians</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+analysis%22">Citation analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22East+Asia%22">East Asia</searchLink><br /><searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Hong+Kong+%28China%29%22">Hong Kong (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>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.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijim.v20i08.59677 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 33 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: English as a foreign language Type: general – SubjectFull: Computer assisted instruction Type: general – SubjectFull: Chatbots Type: general – SubjectFull: East Asians Type: general – SubjectFull: Citation analysis Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Mobile learning Type: general – SubjectFull: East Asia Type: general – SubjectFull: China Type: general – SubjectFull: Hong Kong (China) Type: general Titles: – TitleFull: Artificial Intelligence in Mobile-Interactive EFL Learning Environments: A Bibliometric Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bo, Zhou – PersonEntity: Name: NameFull: Pek, LimSeong – PersonEntity: Name: NameFull: Kabir, Nahdia – PersonEntity: Name: NameFull: Bouteraa, Mohamed – PersonEntity: Name: NameFull: Asna, Asna IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 8 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
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