Construction of Teacher Data Literacy in the Intelligent Era:Predicaments,Textures and Solutions
Teachers are primary resources for high-quality educational development and an important way to cultivate high-quality talents.In the era of intelligent education,constructing teacher data literacy is an important perspective to achieve and promote high-quality development of the teaching staff,and also seen as a response to the demand for smart education practices.Teachers urgently need to incorporate the concept of data to form a complete data literacy system,so as to improve the quality of teaching and education,optimize educational and teaching activities,and reveal the laws of educational and teaching activities.Based on the analysis of the connotation of teacher data literacy and the value of constructing teacher data literacy,it is pointed out that although current teacher data literacy is a response to the practical needs of intelligent education,there are three predicaments to be solved in its construction process:it is difficult to understand how data can be applied to teaching in conceptual cognition,to master data analysis skills in data skills,and to apply data to teaching practice in the application process.Further examination on the inherent mechanism forming these predicaments indicates that the construction of teacher data literacy involves multi-dimensional integration,and its formation process and influencing factors are more complex,which makes its transformation into teaching practice relatively difficult.Finally,the research puts forward three solutions to break through the predicaments from the perspectives of innovating teacher data application concepts,optimizing teacher data knowledge and skills,and innovating teacher data practice,so as to promote the systematic construction and future development of teacher data literacy against the backdrop of intelligent education.
Data drivenTeacher data literacyInherent mechanismPredicamentsSolutionsTeacher professional development
NETL
NSTL
万方数据
