The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
How does artificial intelligence empower EFL teaching and learning nowadays? A review on artificial intelligence in the EFL context
Open accessAbstract
The booming Artificial Intelligence (AI) provides fertile ground for AI in education. So far, few reviews have been deployed to explore how AI empowers English as Foreign Language (EFL) teaching and learning. This study attempts to give a brief yet profound overview of AI in the EFL context by summarizing and delineating six dominant forms of AI application, including Automatic Evaluation Systems, Neural Machine Translation Tools, Intelligent Tutoring Systems (ITSs), AI Chatting Robots, Intelligent Virtual Environment, and Affective Computing (AC) in ITSs. The review furthermore uncovers a current paucity of research on applying AC in the EFL context and exploring pedagogical and ethical implications of AI in the EFL context. Ultimately, challenges from technical and teachers' perspectives, as well as future research directions, are illuminated, hopefully proffering new insights for the future study.
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“The coronavirus disease 2019 pandemic accelerated the adoption of digital learning tools, highlighting the potential of AI to maintain educational continuity and support remote learning, even in complex skill domains like communication [4].”
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Cites
1 retracted
[Retracted] An Artificial Intelligent Virtual Reality Interactive Model for Distance Education
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“As one typical application of IVE, virtual agents (avatars) can upgrade user presence in the virtual and promote collaboration (Yin, 2022).”
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“Unlike the traditional statistical MT, NMT aims to build a single neural network to maximize translation performance and overcome many weaknesses of conventional phrase-based translation systems (Bahdanau et al., 2014; Wu et al., 2016b).”
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“Unlike the traditional statistical MT, NMT aims to build a single neural network to maximize translation performance and overcome many weaknesses of conventional phrase-based translation systems (Bahdanau et al., 2014; Wu et al., 2016b).”
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Background
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Cited by
Sorted by citations
Song, C., & Song, Y. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1260843 · Cited by 717
“This includes the use of advanced artificial intelligence (AI)-based computer and mobile programs, which offer interactive and personalized tools for honing writing abilities as well as enhanced motivation (Jiang, 2022; Meunier et al., 2022; Yan, 2023).”
Artificial intelligence technologies and applications for language learning and teaching
Son, J., Ružić, N. K., & Philpott, A. (2023) · Journal of China Computer-Assisted Language Learning · doi:10.1515/jccall-2023-0015 · Cited by 367
“There are various types of ITSs (e.g., Bibauw et al., 2019; Heift, 2010) and some use AI and machine learning algorithms to adapt to the needs of users (Jiang, 2022).”
The effect of artificial intelligence tools on EFL learners' engagement, enjoyment, and motivation
Yuan, L., & Liu, X. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108474 · Cited by 188
Yang, L., & Zhao, S. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108337 · Cited by 164
Wu, H., Wang, Y., & Wang, Y. (2024) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v25i3.7708 · Cited by 174
Metadata
- Authors
- Jiang, R.
- Affiliations
- Tianjin University of Finance and Economics Pearl River College (CN)
- Corresponding author
- Jiang, Ruihong
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2022-11-16
- Volume
- 13
- Pages
- 1049401-1049401
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC9709327
- OpenAlex
- W4309307641
- Cited by
- 181
- References
- 74
- Citations by year
- 2026: 54 · 2025: 58 · 2024: 50 · 2023: 19
- FWCI
- 4.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Education › Educational Technology and Pedagogy
- Keywords
- artificial intelligence in education, English as a foreign language, automatic evaluation system, neural machine translation, intelligent tutoring systems, AI chatbots, intelligent virtual environments, affective computing, ethical implications of AI, teacher perceptions
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