A Bibliometric Analysis: The Use of Artificial Intelligence in Foreign Language Learning

DOI

10.2991/978-2-38476-245-3_46How to use a DOI?

Keywords

Artificial Intelligence; Foreign Language; Bibliometric Analysis; R Programs; Research Trends

Abstract

This bibliometric analysis of research publications aimed at highlighting trends in the use of Artificial Intelligence in foreign language learning. The study aims to analyze the distribution of published research results, identify the most productive authors, explore authorship patterns, and examine citation patterns. The data was collected from the Scopus database using the keywords: “Artificial Intelligence”, “foreign language learning” OR “foreign language” and keywords that have the same meaning. Search results were filtered to ensure relevance to the entered keywords, and the analysis was conducted using the R Studio program. A total of 310 publications, spanning from 2010 to October 2023, were analyzed. The analysis results demonstrate that the use of Artificial Intelligence in foreign language learning is prevalent. The presence of AI offers numerous benefits and enhances learning methods, making lessons more varied and engaging. The ACM International Conference Proceeding Series emerged as the primary source for these publications, with twenty-four papers attributed to it. China stands out as a prominent player in this field and followed by Spain. The insights gained from this study can serve as a valuable resource for researchers interested in foreign language instruction. Based on these findings, it is recommended that further research be conducted on the application of Artificial Intelligence in other scientific domains. Additionally, this study provides recommendations for future research endeavors.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yanti Kumala Sembiring
AU  - Widyastuti Purbani
AU  - Muthmainnah Damsi
AU  - Zahrotun Salimah
PY  - 2024
DA  - 2024/05/20
TI  - A Bibliometric Analysis: The Use of Artificial Intelligence in Foreign Language Learning
BT  - Proceedings of the International Conference on Current Issues in Education (ICCIE 2023)
PB  - Atlantis Press
SP  - 444
EP  - 454
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-245-3_46
DO  - 10.2991/978-2-38476-245-3_46
ID  - Sembiring2024
ER  -