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| Autore principale: | |
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| Natura: | Recurso digital |
| Lingua: | cinese |
| Pubblicazione: |
Zenodo
2024
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| Soggetti: | |
| Accesso online: | https://doi.org/10.5281/zenodo.14930872 |
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- <p><strong>摘要</strong></p> <p>為了解人工智慧應用對英語教學之影響,本文基於文獻計量學理論進行分析,以Web of Science 數據庫2014~2024 年提取135 篇人工智慧英語教學相關期刊論文,並透過分析國家/地區、主要期刊、高被引用論文、作者和關鍵字等面向進行探索與分析,總結國外學術界對人工智慧英語教學領域的整體態勢。研究結果顯示,中國、台灣為發表量排名前二的國家/地區;發表量前三的學術機構依序為Chinese University of Hong Kong、National Taiwan University of Science & Technology、Wenzhou University;FRONTIERS IN PSYCHOLOGY 與 MOBILE INFORMATION SYSTEMS 是發表數量排名前二的期刊;被引用次數最高之期刊依序為COMPUT ASSIST LANG L、COMPUT EDUC 及EDUC TECHNOL SOC。研究表明,中國在AI 應用於英文教育的相關研究人員與機構數量趨前;2014~2021 年人工智慧在美語學習研究多集中在軟體工程基礎性研究方面;2020~2023 年在相關實證與综述型研究較多。因此,本研究提供政策制定者與研究者之人工智慧應用於英語教學領域研究趨勢,及對未來研究的建議。</p> <p><strong>關鍵字:</strong>文獻計量分析、人工智慧、英語教學</p> <p><strong>Abstract</strong></p> <p>This study uses bibliometric analysis methods to review the literature on artificial intelligence (AI) English learning from 2014 to 2004 in the Web of Science (WOS) database, including 135 journals, highly cited papers, authors, and keywords. The research results show that China and Taiwan are the top two countries/regions in terms of publication volume; the top three academic<br>institutions in terms of publication volume are the Chinese University of Hong Kong, the National Taiwan University of Science & Technology, and Wenzhou University; FRONTIERS IN PSYCHOLOGY and MOBILE INFORMATION SYSTEMS is the top two journal by the number of publications; the journals with the highest citations are COMPUT ASSIST LANG L, COMPUT EDUC and EDUC TECHNOL SOC in order. Research shows that the number of researchers and institutions related to the application of AI in English education in China is significantly higher than in other countries; from 2014 to 2021, most of the research on artificial intelligence in American English learning focused on basic research in software engineering; From 2020 to 2024, there will be an increase in research focusing on empirical types and literature review types, this study provides policymakers and researchers with research trends in applying artificial intelligence in English teaching and suggestions for future research.</p> <p><strong>Keywords: </strong>bibliometric, artificial intelligence, English learning</p>