Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)

Current Status and Outlook of Artificial Intelligence Education Research in the Last Decade - Knowledge Graph Feature Selection and Visualisation Analysis Based on Lasso Regression and CiteSpace

Authors
Weili Wu1, *, Jun Yuan1, *, Min Lv1, *
1College of Computer and Information, Qiannan Normal University for Nationalities, Duyun City, Qiannan Buyi and Miao Autonomous Prefecture, Guizhou Province, China
*Corresponding author. Email: 3353778983@qq.com
*Corresponding author. Email: 448772321@qq.com
*Corresponding author. Email: 2294486319@qq.com
Corresponding Authors
Weili Wu, Jun Yuan, Min Lv
Available Online 15 May 2025.
DOI
10.2991/978-2-38476-400-6_57How to use a DOI?
Keywords
artificial intelligence education; Lasso regression; CiteSpace visualization; research hotspots
Abstract

This study combines the Lasso regression analysis technique and CiteSpace visualisation software for analysis to comprehensively study the academic papers related to artificial intelligence learning on Web of Science during 2016–2024. The visualisation analysis reveals the changing trends, major research directions and dynamics in the field over the past decade, while using Lasso regression to highlight the core themes and trends. It is found that significant progress has been made in the application of AI in the field of education, and the focus of research has shifted to practical applications and educational practices. However, issues such as personal privacy protection, algorithm comprehensibility and ethical norms still require attention. The purpose of this study is to provide a strong orientation for subsequent investigations, promote the close integration of AI and educational technology, and work together to build a better tomorrow for education.

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.

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Volume Title
Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 May 2025
ISBN
978-2-38476-400-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-400-6_57How to use a DOI?
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  - Weili Wu
AU  - Jun Yuan
AU  - Min Lv
PY  - 2025
DA  - 2025/05/15
TI  - Current Status and Outlook of Artificial Intelligence Education Research in the Last Decade - Knowledge Graph Feature Selection and Visualisation Analysis Based on Lasso Regression and CiteSpace
BT  - Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
PB  - Atlantis Press
SP  - 471
EP  - 478
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-400-6_57
DO  - 10.2991/978-2-38476-400-6_57
ID  - Wu2025
ER  -