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
- 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.
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 -