Landscape,Trend and Prospect of Digital Skills Research for University Teachers in China
In 2022,Ministry of Education of the People's Republic of China released the industry standard Digital Literacy for Teachers,which at policy level guides initiatives and points out the direction for improving the digital skills among college teachers.In order to deeply explore the overall landscape,cutting-edge hotspots,and future trends in the field of digital skills research for Chinese college teachers,a bibliometric method was applied to visualize and analyse the CSSCI source journal papers in the CNKI database with the help of CiteSpace software.The results indicate that the research heat of college teachers'digital skills has arosen in recent years,but the academic exchange and cooperation between research scholars and institutions still need strengthening;key focuses include the components of digital skills,influencing factors,promotion paths,and their connection with teaching reform;the framework of teachers'digital skills assessment clarifies the future development direction and goals of college teachers,and places more emphasis on human-centredness,focusing on the the sustainable development of teachers and students in higher education.In addition,the study also shows that the shift from digital literacy to digital skills research has become an important trend,the strategy and promotion path for enhancing digital skills among college teachers have become the main direction of research development.The results provide certain reference and mirror for the digital skills research of Chinese college teachers,In the future,it is necessary to further deepen group cooperation,promote research implementation,improve assessment guarantee,maintain problem-oriented approaches,and aid teacher development.Through the dual innovation of theory and practice,the continuous development of digital skills research for Chinese university teachers can be promoted.
Digital skillsHigher educationCollege teachersDigital literacyTeacher professional development
NETL
NSTL
万方数据
