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XU Lili
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DOI:10.17265/1539-8072/2024.12.005
University of Shanghai for Science and Technology, Shanghai, China
artificial intelligence, teachers’ digital literacy, bibliometric analysis
XU Lili, A Bibliometric Analysis of Research on Teachers' Digital Literacy in the Context of Artificial Intelligence, Sino-US English Teaching, December 2024, Vol. 21, No.12, 580-583 doi:10.17265/1539-8072/2024.12.005
Feng, J.-F., & Wang, Y.-N. (2024). The impact of school digital support on teachers’ digital literacy. Teacher Education Research, 36(2), 45-52.
Ministry of Education of the People’s Republic of China. (2022). Digital literacy of teachers. Beijing: Ministry of Education. doi:JY/T0646-2022. Retrieved from http://www.moe.gov.cn/srcsite/A16/s3342/202302/W020230214594527529113.pdf
Ren, L. T. (2024). The realistic value and logical direction of digital technology empowering internationalization of higher education at home. Modern Education Management, 44(2), 105-114.
Wang, W., & Yan, H. B. (2023). Research on the path of practice oriented teacher digital literacy improvement—A multi-case study based on international projects. Modern Distance Education, 45(5), 53-60.
Wu, J. Q., Wu, F. Y., Wen, S. J., Zhang, M. M., & Zhang, J. T. (2023). Teacher professional development empowered by ChatGPT: Opportunities, challenges and path. China Educational Technology, 44(5), 15-23+33.