What question did this study set out to answer?

This study aims to systematically map the research landscape of intelligent agent-supported language learning from 2005 to 2025.

February 22, 2026European Journal of EducationOpen Access

The Rise of Digital Tutors: A Bibliometric Exploration of Intelligent Agent‐Supported Language Learning From 2005 to 2025

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Authors

LHLili HuangGuangxi Medical University MLMing LiuNational University of Defense Technology

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Implication

Bibliometric analysis highlights research trends in intelligent agent-supported language learning, suggesting growth in personalized teaching methods.

Key Points

This study aims to systematically map the research landscape of intelligent agent-supported language learning from 2005 to 2025.
Conducted a bibliometric analysis of 774 peer-reviewed publications from 2005 to 2025.
Utilized data from the Web of Science Core Collection.
Employed tools such as CiteSpace, VOSviewer, and Bibliometrix to analyze the data.
Identified three developmental phases: techno-adaptive (2005–2010), algorithmic (2011–2019), and learner-centric (2020–2025).
Revealed dominant contributions from China and the United States in scholarly output.
Showed a shift from technical feasibility studies to a focus on learner affect, intercultural competence, and automated assessment.

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/699a9d50482488d673cd3225 https://doi.org/10.1111/ejed.70529

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Implication

Bibliometric analysis highlights research trends in intelligent agent-supported language learning, suggesting growth in personalized teaching methods.

The Rise of Digital Tutors: A Bibliometric Exploration of Intelligent Agent‐Supported Language Learning From 2005 to 2025

Discussion

Member takes

Implication

Key Points

Cite This Study

The Rise of Digital Tutors: A Bibliometric Exploration of Intelligent Agent‐Supported Language Learning From 2005 to 2025

Discussion

Member takes

Implication

Key Points

Cite This Study

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