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REVIEW article

Front. Educ.

Sec. Digital Education

Volume 10 - 2025 | doi: 10.3389/feduc.2025.1530645

This article is part of the Research Topic Digital Learning Innovations: Trends Emerging Scenario, Challenges and Opportunities View all 6 articles

Visualization Analysis of Artificial Intelligence Technology in Education

Provisionally accepted
Yan Li Yan Li *He Ji He Ji *
  • Jiangsu Open University, Nanjing, China

The final, formatted version of the article will be published soon.

    The study highlights the transformative potential of artificial intelligence in the realm of education, positioning it as a pivotal driver of the ongoing scientific and technological revolution and industrial metamorphosis. Utilizing VOSviewer, a tool for database analysis, this research delves into the extraction and examination of data sourced from SSCI/SCI/ESCI journals spanning the period between 2016 and 2024, with a focus on the intersection of "artificial intelligence and education"or "machine learning and education"or"ChatGPT and education". Leveraging VOSviewer's keyword co-occurrence and cluster analysis capabilities, the study conducts a visual analysis of AI technologies within the educational domain. Through visualization techniques, the paper uncovers prevalent research themes and emerging trends, offering insights into the temporal and spatial dynamics of AI-related issues in education. Furthermore, the research explores specific AI technologies pertinent to education, such as machine learning, big data, deep learning, augmented reality, neural networks, and virtual reality, while briefly addressing the constraints of AI technologies and outlining future developmental trajectories within the educational landscape.

    Keywords: Education, artificial intelligence, machine learning, ChatGPT, VOSviewer

    Received: 19 Nov 2024; Accepted: 20 Feb 2025.

    Copyright: © 2025 Li and Ji. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yan Li, Jiangsu Open University, Nanjing, China
    He Ji, Jiangsu Open University, Nanjing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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