research-article

The Application Landscape and Research Status of Artificial Intelligence in Language Learning: A Visual Analysis

Authors:

Chengliang WangAuthors Info & Claims

ICETC '23: Proceedings of the 15th International Conference on Education Technology and Computers

Pages 461 - 468

https://doi.org/10.1145/3629296.3629370

Published: 15 January 2024 Publication History

Abstract

The integration of Artificial Intelligence (AI) in the education industry has emerged as a dominant trend, particularly in the field of language education and learning. This study employs advanced visualization tools, such as VOSviewer, to conduct a comprehensive analysis of the current research landscape and key areas of focus pertaining to the amalgamation of foreign language learning with AI. The findings reveal the following insights: 1) Most articles in this domain are published in journals affiliated with the educational technology and computer education disciplines, with a notable prevalence of open-access publications. 2) Prominent research themes encompass the continuous advancements in AI technology and the dynamic adaptation of language learning to embrace these transformative innovations. 3) Investigations into the application of AI in language learning primarily involve researchers from China and the United States, although collaborative networks among these scholars remain to be firmly established. 4) Employing clustering analysis, this study delineates two overarching categories within the field, namely "intelligent tutoring systems" and "natural language processing." By elucidating the current state of research and discerning future trends, this study provides valuable insights and guidance to scholars and practitioners, facilitating further empirical investigations and practical implementations. Additionally, we anticipate that the findings presented herein will serve as a theoretical benchmark for the advancement of language learning and education within the realm of AI-driven technological transformations.

References

[1]

Miao, Holmsw, Huang R, 2021. AI and education: guidance forpolicy-makers [EB/OL]. [2022-04-08].https://unesdoc.unesco.org/ark:/48223/pf0000376709

[2]

UNESCO. 2022 Available online: https://unesdoc.unesco.org/ark:/48223/pf0000380602.

[3]

Hwang G J, Tu Y F. Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics.2021, 9(6): 584.

[4]

Lin C H, Yu C C, Shih P K, Wu L Y. STEM based artificial intelligence learning in general education for non-engineering undergraduate students. Educational Technology & Society. 2021, 24(3): 224-237.

[5]

Zhang S, Shan C, Lee J S Y, Che S, Kim J H. Effect of chatbot-assisted language learning: A meta-analysis. Education and Information Technologie.2023: 1-21.

[6]

Ji H, Han I, Ko Y. A systematic review of conversational AI in language education: Focusing on the collaboration with human teachers. Journal of Research on Technology in Education. 2023,55(1): 48-63.

[7]

Chen X, Zou D, Xie H, Cheng G. Twenty years of personalized language learning. Educational Technology & Society. 2021, 24(1): 205-222.

[8]

Yang Y, Wang C, Lai M. Using bibliometric analysis to explore research trend of electronic word-of-mouth from 1999 to 2011. International Journal of Innovation, Management and Technology. 2012, 3: 337-342.

[9]

Zhang, M., & Zhang, R. (2020). The hotspots and trends of adaptive learning: a visualized analysis based on citespace. International Journal of Information and Education Technology, 10(5), 394-398.

[10]

Wang C L, Dai J, Xu L J. “Big data and data mining in education: a bibliometrics study from 2010 to 2022,” in Proceedings of 2022 7th International Conference on Cloud Computing and Big Data Analytics (Chengdu: IEEE). 2022:507-512.

[11]

Swacha, J. (2021). State of research on gamification in education: A bibliometric survey. Education Sciences, 11(2), 69.

[12]

Chen J Y, Liu Y D, Dai J, Wang C L. Development and status of moral education research: Visual analysis based on knowledge graph. Front. Psychol. 2023, 13: 1079955.

[13]

Jing Y H, Zhao L Y, Zhu K K, Wang H M, Wang C L, Xia Q. Research Landscape of Adaptive Learning in Education: A Bibliometric Study on Research Publications from 2000 to 2022. Sustainability. 2023.

[14]

Van Eck N, Waltman L, Noyons E, Buter R. Automatic term identifification for bibliometric mapping. Scientometrics. 2010, 82(3): 581-596.

[15]

Hwang G J, Tu Y F. Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics. 2021, 9(6): 584.

[16]

Moher D, Liberati A, Tetzlaff J, Altman D G, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine. 2009, 151(4): 264-269.

[17]

Chen X, Zou D, Xie H, Cheng G. Twenty years of personalized language learning. Educational Technology & Society. 2021, 24(1): 205-222.

[18]

Amaral L, Meurers D, Ziai R. Analyzing learner language: towards a flexible natural language processing architecture for intelligent language tutors. Computer Assisted Language Learning. 2011, 24:1–16. https://doi.org/10.1080/09588221.2010.520674

[19]

Huang X, Zou D, Cheng G, Chen X, Xie H.Trends, research issues and applications of artificial intelligence in language education. Educational Technology & Society. 2023, 26(1): 112-131.

[20]

Dos Santos C T, Frozza R, Dhamer A, Gaspary L P. DORIS—pedagogical agent in intelligent tutoring systems. In International Conference on Intelligent Tutoring Systems (pp. 91-104). Berlin, Heidelberg: Springer Berlin Heidelberg.

[21]

Troussas C, Chrysafiadi K, Virvou M. An intelligent adaptive fuzzy-based inference system for computer-assisted language learning. Expert Systems with Applications. 2019, 127: 85–96.

Digital Library

[22]

Amaral L A, Meurers D. On using intelligent computer-assisted language learning in real-life foreign language teaching and learning. ReCALL. 2011, 23: 4–24. https://doi.org/10.1017/s0958344010000261

Digital Library

[23]

Lo J J, Wang H M, Yeh S W. Effects of confidence scores and remedial instruction on prepositions learning in adaptive hypermedia. Computers & Education. 2004, 42: 45–63. https://doi.org/10.1016/s0360-1315(03)00064-2

[24]

Parks L, Peters W. Natural Language Processing in Mixed-methods Text Analysis: A Workflow Approach. International Journal of Social Research Methodology. 2022: 1–13. https://doi.org/10.1080/13645579.2021.2018905

[25]

Cho Y H, Lee K J. Automatic Affect Recognition Using Natural Language Processing Techniques and Manually Built Affect Lexicon. IEICE Transactions on Information and Systems E89-D. 2006: 2964–2971. https://doi.org/10.1093/ietisy/e89-d.12.2964

[26]

Bradáč V, Smolka P, Kotyrba M, Průdek T. Design of an Intelligent Tutoring System to Create a Personalized Study Plan Using Expert Systems. Applied Sciences. 2022, 12: 6236. https://doi.org/10.3390/app12126236

[27]

Dong H, Tsai S B. An Empirical Study on Application of Machine Learning and Neural Network in English Learning. Mathematical Problems in Engineering 2021. 2021: 1–9. https://doi.org/10.1155/2021/8444858

[28]

Shi Y, Ko Y C. Construction of English Pronunciation Judgment and Detection Model Based on Deep Learning Neural Networks Data Stream Fusion. International Journal of Pattern Recognition and Artificial Intelligence. 2022, 36(06): 2252011.

Cited By

Wang CChen XHu ZJin SGu X(2025) Deconstructing University Learners' Adoption Intention Towards AIGC Technology: A Mixed‐Methods Study Using ChatGPT as an Example Journal of Computer Assisted Learning10.1111/jcal.1311741:1Online publication date: 15-Jan-2025
https://doi.org/10.1111/jcal.13117
Yu ZLyu E(2024)Visualizing Analysis of Game-Based Learning and Learning Performance: A Bibliometric Study based on Web of Science from 2000 to 2024Proceedings of the 2024 the 16th International Conference on Education Technology and Computers10.1145/3702163.3702412(185-191)Online publication date: 18-Sep-2024
https://dl.acm.org/doi/10.1145/3702163.3702412
Vazhangal MAlapati PPathak PP.Kavitha Vuyyuru VInfant Raj I(2024)Transforming Language Learning: Harnessing Neural Networks for Enhanced Adaptive Assessment in English Teaching2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)10.1109/ICEEICT61591.2024.10718388(1-6)Online publication date: 24-Jul-2024
https://doi.org/10.1109/ICEEICT61591.2024.10718388
Show More Cited By

Index Terms

The Application Landscape and Research Status of Artificial Intelligence in Language Learning: A Visual Analysis
1. Applied computing
  1. Education
    1. Computer-assisted instruction

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ICETC '23: Proceedings of the 15th International Conference on Education Technology and Computers

September 2023

532 pages

ISBN:9798400709111

DOI:10.1145/3629296

Copyright © 2023 ACM.

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Publication History

Published: 15 January 2024

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ICETC 2023: The 15th International Conference on Education Technology and Computers

September 26 - 28, 2023

Barcelona, Spain

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Cited By

Wang CChen XHu ZJin SGu X(2025) Deconstructing University Learners' Adoption Intention Towards AIGC Technology: A Mixed‐Methods Study Using ChatGPT as an Example Journal of Computer Assisted Learning10.1111/jcal.1311741:1Online publication date: 15-Jan-2025
https://doi.org/10.1111/jcal.13117
Yu ZLyu E(2024)Visualizing Analysis of Game-Based Learning and Learning Performance: A Bibliometric Study based on Web of Science from 2000 to 2024Proceedings of the 2024 the 16th International Conference on Education Technology and Computers10.1145/3702163.3702412(185-191)Online publication date: 18-Sep-2024
https://dl.acm.org/doi/10.1145/3702163.3702412
Vazhangal MAlapati PPathak PP.Kavitha Vuyyuru VInfant Raj I(2024)Transforming Language Learning: Harnessing Neural Networks for Enhanced Adaptive Assessment in English Teaching2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)10.1109/ICEEICT61591.2024.10718388(1-6)Online publication date: 24-Jul-2024
https://doi.org/10.1109/ICEEICT61591.2024.10718388
Wang CWang HLi YDai JGu XYu T(2024)Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI LiteracyInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2383033(1-23)Online publication date: 29-Jul-2024
https://doi.org/10.1080/10447318.2024.2383033

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