A Systematic Review of AI-Enabled Professional Development for Pre-Service Teachers: A Bibliometric Analysis Using CiteSpace
Through systematic combing and using CiteSpace visual analysis, we summarize the current status of research on AI-enabled professional development of pre-service teachers worldwide, and analyze the current research hotspots and future trends. This study sorts out the current situation of the combination of pre-service teachers and AI technology, explores new directions for the future development of the pre-service teaching profession, and provides insights into the latest trends and innovative practices of global education technology, so as to provide valuable references and insights for the education system. The hotspot analysis provides a better understanding of how AI can promote the personalization of education, enhance teachers' professional skills, address the issue of educational equity, and balance ethics and interdisciplinary competence development.
Authors
- Shu Zhao (ORCID: https://orcid.org/0000-0003-2349-6830)
- Siting Ye
- Chunchen Kang
Institutions
- Shaanxi Normal University (CN)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/icett66247.2025.11137074
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00