China's New Journey Towards the Era of 'Artificial Intelligence Education'Insights and Reflections from the 11th National Forum on Empirical Research in Education (2025)
Abstract
and authors, and poster exhibitions of research papers. This paper employs Python data visualisation techniques to analyse the forum's most
compelling sub-forum, 'AI-Driven Paradigm Shift in Educational Research'. It identifies four key research themes and characteristics, offering
multifaceted insights for scholars while providing reference points for China's current and future educational theory, practice development,
and talent cultivation.
Keywords
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[1] Li Ling, Liu Jing, Wang Yiwei, et al. From Observation to Insight: Constructing an Evidence-Based Teaching and Research System for
Human-Machine Collaborative Classrooms Based on Multi-Agent Systems [J]. Research on Open Education, 2025, 31 (05): 101-110.
[2] Central People's Government of the People's Republic of China. Outline of the Plan for Building an Education Powerhouse (20242035).
https://www.gov.cn/zhengce/202501/content_6999913.htm. Accessed 9 December 2025.
[3] Guo Biao, Xu Xiaowen, Li Bo. Analysis of Music Education Research Methods Based on Literature: Empirical Path Selection [J]. Chinese Music, 2021, (05): 32-38.
[4] Yuan Zhenguo. Empirical Research as the Necessary Pathway for Educational Science to Advance Scientifically [J]. Journal of East
China Normal University (Educational Science Edition), 2017, 35(03): 4-17+168.
DOI: http://dx.doi.org/10.70711/neet.v4i2.8703
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