Visualization of Hotspots and Trends in AI in Education
- DOI
- 10.2991/978-2-38476-364-1_12How to use a DOI?
- Keywords
- AI in education; CiteSpace; Visualization
- Abstract
This study aims to reveal the application trends of artificial intelligence (AI) in the field of education. Using the Web of Science database, 133 relevant papers were selected, and CiteSpace was used to perform co-occurrence analysis of authors, institutions, and keywords. The analysis results show that research in this field has grown rapidly since 2017, with a significant acceleration after 2021. Collaboration analysis among authors and institutions highlights the key role of major institutions such as the University of London. Keyword analysis indicates that areas such as “generative AI,” “learning analytics,” “intelligent tutoring systems,” and “adaptive assessment” are gaining attention, reflecting the potential of AI in personalized learning.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jingjing Zhang AU - Yongjun Ding PY - 2025 DA - 2025/03/17 TI - Visualization of Hotspots and Trends in AI in Education BT - Proceedings of the 2024 4th International Conference on Education, Language and Art (ICELA 2024) PB - Atlantis Press SP - 74 EP - 81 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-364-1_12 DO - 10.2991/978-2-38476-364-1_12 ID - Zhang2025 ER -