Research status, hotspots and trends of international AI-assisted second language learning
Authors: 
Yuxin Li, Rui Chen, Juan WuAuthors Info & Claims
Abstract
The widespread application of artificial intelligence has triggered important changes in second language learning. The study was conducted on 293 research articles cited in the Web of Science database from 2013 to 2022 using the Bibliometrix R-package and CiteSpace software. A comprehensive investigation and analysis in the field of international artificial intelligence-assisted second language learning in the past ten years was made in this study, specifically including the development trend, high-cited authors, high-yield regions, high-impact journals, core article topics and research hot topics. The study found that (1) the overall research in this field shows a booming trend; (2) the field has formed highly influential authors and countries and has formed a relatively concentrated core journal group; and (3) the core article topics focus on combination of corpus linguistics and computational linguistics. The research hotspots include the creation of second language learning situations, the development of multilingual skills, the accurate assessment and diagnosis of second language learning, and the automatic feedback system for second language learning. Based on the analysis of the research results, this paper sorts out the future research trends in this field, and provides reference and inspiration for the research and practice of second language learning.
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Index Terms
- Research status, hotspots and trends of international AI-assisted second language learning
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Published In
November 2023
281 pages
ISBN:9798400716676
DOI:10.1145/3637907
Copyright © 2023 ACM.
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Published: 31 January 2024
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- BeiJing Office for Education Sciences Planning Project
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ICETM 2023
ICETM 2023: 2023 the 6th International Conference on Educational Technology Management
November 3 - 5, 2023
Guangzhou, China
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