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Visualization and analysis of the current status and frontiers of combining education and artificial intelligence

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DOI: 10.23977/aduhe.2025.070413 | Downloads: 2 | Views: 44

Author(s)

Hongzhan Li 1,2, Peiran Yang 3

Affiliation(s)

1 Faculty of Education, Southwest University, Chongqing, 400715, China
2 School of Marxism, Chongqing University of Technology, Chongqing, 400054, China
3 School of Management, Chongqing University of Technology, Chongqing, 400054, China

Corresponding Author

Peiran Yang

ABSTRACT

Amid the wave of educational transformation in the intelligent era, the deep integration of artificial intelligence (AI) and education has become a key driver of educational modernization. Based on 1,000 articles retrieved from the Web of Science Core Collection, this study employs CiteSpace for visualization analysis to systematically examine the research trajectory and evolution of the field of Artificial Intelligence in Education (AIED). The findings reveal a three-stage evolution pattern, from "technological empowerment" to "scenario innovation" and ultimately to "mechanism reconstruction." China, leveraging policy support and practical advantages, has emerged as a global research hub, forming an academic network characterized by teacher-training institutions as the main body and international collaboration as the bridge. Keyword clustering identifies 17 research communities, including technology acceptance models, adaptive learning, and the metaverse, while emerging topics such as large language models and cognitive load theory reflect a paradigm shift in the field. Future research should focus on multimodal interaction, educational equity, and ethics, thereby fostering the construction of an intelligent education ecosystem with humanistic care.

KEYWORDS

Education, Artificial intelligence, Technology, Personalization

CITE THIS PAPER

Hongzhan Li, Peiran Yang, Visualization and analysis of the current status and frontiers of combining education and artificial intelligence. Adult and Higher Education (2025) Vol. 7: 82-88. DOI: http://dx.doi.org/10.23977/aduhe.2025.070413.

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