A Comparative Analysis of Characteristics and Trends of Artificial Intelligence and Foreign Language Education at Home and Abroad

Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v6i6.2255

Ruihong Guo

Xi’an International Studies University

Abstract

This paper takes the research on artificial intelligence and foreign language education in domestic CSSCI and international SSCI journals since 2004 as the analysis object, and makes a comprehensive review, tracking and identification based on the bibliometric and bibliographical analysis supported by CiteSpace. It is pointed out that while domestic research mainly focuses on human-computer cooperation and digital transformation of foreign language education, international research attaches more importance to the role of artificial intelligence-assisted foreign language teaching tools, the study on participants is more comprehensive. Regarding the future directions of Chinese artificial intelligence and foreign language education, it is suggested that attention could be drawn to the integration of technology and foreign language education, balance the research between teachers and learners, further deepen and expand the research topics, and promote the in-depth development of artificial intelligence and foreign language education research.

Keywords

artificial intelligence, foreign language education, comparison and contrast, home and abroad, bibliometric research

References

[1] An Xin, et al. Modeling English teachers’ behavioral intention to use artificial intelligence in middle schools.[J] Education and Information Technologies. 2023; 28(5): 5187-5208.
[2] Chen Chengxiong. A method of digital English teaching resource sharing based on artificial intelligence[J]. Journal of Information & Knowledge Management. 2022; 21(Supp02): 2240018.
[3] Chen Jianlin. On the Embodiment and application of Artificial Intelligence Technology in Foreign Language Teaching [J]. Journal of Beijing International Studies University. 2020; 42 (02): 14-25.
[4] Chen Yuli, et al. Robot-assisted language learning: Integrating artificial intelligence and virtual reality into English tour guide practice[J]. Education Sciences. 2022; 12(7): 437.
[5] Chassignol M, Khoroshavin A, Klimova A, Bilyatdinova A. Artificial Intelligence trends in education: A narrative overview [J]. Procedia Computer Science. 2018; 136: 16-24.
[6] Deng Xinjie, Yu Zhonggen. A systematic review of machine-translation-assisted language learning for sustainable education[J]. Sustainability. 2022; 14(13): 7598.
[7] Du Yunfei, Han Gao . Determinants affecting teachers’ adoption of AI-based applications in EFL context: An analysis of analytic hierarchy process[J]. Education and Information Technologies. 2022; 27(7): 9357-9384.
[8] Hong Changchun. Research on the Construction of Ecological College English Teaching Model in the Era of Artificial Intelligence [J]. Foreign language audio-visual teaching. 2018; (06): 29-34.
[9] Li Jie, Chen Chaomei. CiteSpace: Scientific text mining and visualization [M]. Beijing: Capital Economics and Trade Press; 2016.
[10] Mohamed A M. Exploring the potential of an AI-based Chatbot (ChatGPT) in enhancing English as a Foreign Language (EFL) teaching: perceptions of EFL Faculty Members[J]. Education and Information Technologies. 2023: 1-23.
[11] Qin Ying. A Study on foreign Language teaching methods in the Human-computer Symbiosis scenario: A case study of ChatGPT [J]. Foreign Language audio-visual teaching. 2023; (02): 24-29+108.
[12] Sun Youzhong, Tang Jinlan. Exploration on the Construction of Foreign Language Teachers in Chinese Universities in the Era of Artificial Intelligence: “Four new” concept and “Four” driving model [J]. Foreign Language audio-visual teaching. 2022; (03): 3-7+101.
[13] Xu Yunfeng. The development and prospect of the new generation of artificial intelligence [EB/OL]. Retrieved from http://epaper. gmw.cn/zhdsb/html/ 2021-06/09/nw. D10000zhdsb_20210609_1-18.htm,2021.
[14] Yang Zhiling. Natural Language Enhancement for English Teaching Using Character-Level Recurrent Neural Network with Back Propagation Neural Network based Classification by Deep Learning Architectures[J]. JUCS: Journal of Universal Computer Science. 2022; 28(9).

Copyright © 2024 Ruihong Guo

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License