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Mapping Artificial Intelligence Integration in Education: A Decade of Innovation and Impact (2013-2023)-A Bibliometric Analysis

Authors
Muhammad Afzaal,
Xiao Shanshan,
Dong Yan,
Muhammad Younas
Date
Publisher
IEEE
Link
https://ieeexplore.ieee.org/document/10636217
Artificial Intelligence (AI) has garnered considerable attention from educators, policymakers, and scholars within the realms of education and social sciences, achieving notable historical significance. Employing bibliometric analysis, this paper aims to provide a comprehensive analysis of the most noticeable trend of using AI in education. The corpus comprises a dataset of publications sourced from Web of Science (WoS) and Scopus-indexed journals. It concentrates on contemporary scientific research and innovative methodologies within the education sector, particularly relevant to the intersection of education and technology in the AI era. The results reveal a significant rise in AI-related technological research beginning in 2018, with citations reaching their zenith in 2019. Furthermore, collaborative metrics indicate that the United States and China are leading in publication volume. In addition, the study highlights a rising interest in AI applications within education and healthcare, particularly in the context of the COVID-19 pandemic.
Study at a glance
  • Question: What are the major trends in research on using artificial intelligence in education over the past decade?
  • Setting and data: Journal publications from Web of Science and Scopus from 2013 to 2023.
  • Method: Analysis of published research (Bibliometric analysis)
Why it matters

Artificial intelligence has garnered considerable attention from educators, policymakers, and scholars, achieving notable historical significance. Tracking contemporary research and innovative methodologies clarifies the most noticeable trends of using AI in education.

Key findings
  • Across global journal publications from 2013 to 2023, research on educational AI rose significantly starting in 2018, with citations peaking in 2019.
  • Across the reviewed publications, the United States and China lead internationally in the total volume of published AI research.
  • Across the literature reviewed, interest in educational and healthcare AI applications increased noticeably during the COVID-19 pandemic.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

Who age?
High School (9-12),
Post-Secondary
Study design
Systematic Review