Abstract
This study explores the development trends of AI in education through a bibliometric analysis of literature from 2011 to 2021. Using the Biblioshiny toolkit for Bibliometrix in R language, we analyzed titles, authors, abstracts, keywords, citations, and affiliations. The findings reveal research changes and hot directions in AI education, forecasting future developments. While regions like the US and UK have achieved success in AI education, China is integrating AI into teaching disciplines. The rise of AIGC and companies like OpenAI is accelerating AI integration in education, creating opportunities for personalized learning, adaptive education, and intelligent educational management. Collaboration among stakeholders and comprehensive strategies are crucial for successful AI implementation in education.
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