Analysis of Multiple and Synergistic Cultivation of Data Literacy for Graduate Students
Graduate students play a pivotal role in driving innovation,and in the era of big data,data literacy is an essential component of their innovation training.To align with the demands of this era,it is crucial to enhance graduate students'data literacy.Therefore,this study aims to investigate and summarize the current state of data literacy training for graduate students.The paper has been identified that postgraduates face certain challenges in their training related to data literacy,data awareness,data application ability,and the depth of their data skill learning.In response,this paper proposes a collaborative training model that centers around multiple subjects,employs a multi-faceted approach,and targets the development of various abilities.By adopting this model,the systematic enhancement of graduate students'data literacy can be achieved.
NETL
NSTL
万方数据
