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Artificial Intelligence in Teaching English: A Bibliometric Analysis of Research Trends and Developments in ASEAN (2010–2025)

Mark Anthony Rodriguez, Joel Aclao
Psychology and Education: A Multidisciplinary Journal · 2025-11-19 · DOI 10.70838/pemj.490306
Token #6728
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Token#6728 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xe4bc5f97687b32c57f1a397b464306bd83b3cc78933384e2d07c46150653e395 · block 12108756
Minted2026-10-02 09:45 UTC
Hash on chain0x780ad0cb78d2fa603e70a6780aa95c255003a066c39340e204f5d86b1153d1a9
SHA-256 of the record0x780ad0cb78d2fa603e70a6780aa95c255003a066c39340e204f5d86b1153d1a9
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Mark Anthony Rodriguez 0x064b367f…E0438a 450,000 450,000
Joel Aclao 0xF2dC0D93…f4D815 450,000 450,000

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{"abstract":"Artificial Intelligence (AI) has become one of the most discussed innovations in education, and its role in teaching English has gained increasing scholarly attention. This study examined the research landscape of AI in teaching English through a bibliometric analysis of 266 publications indexed in LENS from 2010 to 2025. Using VOSviewer to analyze co-authorship, co-citation, and bibliographic coupling, the study identified leading authors, research clusters, and thematic directions in the field. The findings revealed that research activity was predominantly concentrated among a few influential scholars and institutions, leading to uneven collaboration across regions. Two dominant themes emerged: one strand focused on technology-driven applications, such as chatbots, automated writing support, and adaptive learning systems, while the other emphasized pedagogy-oriented concerns, including teacher readiness, ethical implications, and cultural contexts in the adoption of AI. Despite the growing body of work, gaps remained in empirical classroom-based studies and in the development of culturally responsive AI tools tailored to local needs. The study concluded that while AI offered significant potential for enhancing English language teaching, its impact would depend on broader teacher training, cross-institutional collaboration, and strong policy support for ethics and inclusivity. It recommended integrating bibliometrics with content analysis, longitudinal research, and multi-database sources to provide a fuller picture of AI’s contributions to English education.","abstract_source":"original","authors":["Mark Anthony Rodriguez","Joel Aclao"],"date":"2025-11-19","doi":"10.70838/pemj.490306","id":6728,"issue":3,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"4cc39a1186932a7315f84fac18679657e1a065a52e6d502fa2635b29f307fbbe","schema":"scimatic-article/1","title":"Artificial Intelligence in Teaching English: A Bibliometric Analysis of Research Trends and Developments in ASEAN (2010–2025)","volume":49}

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  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001a48"},"latest"]}'

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