Research on the Lifting Path of Data Literacy Ability of Applied University Teachers under the Perspective of Organizational Learning

With the arrival of the big data era, the modern higher education model has undergone radical changes, and higher requirements have been put forward for the data literacy of college teachers. The paper first analyzes the connotation of teacher data literacy, and then combs through the status quo and dilemmas of teachers’ data literacy ability in applied universities. The paper proposes to enhance the data literacy ability of teachers from the perspective of organizational learning. Through building a digital culture, building a data-driven teaching environment, and constructing an interdisciplinary learning community to further promote the application of the theory and practice of datafication inside and outside the organization, and ultimately improve the quality of teaching.

Constructing data literacy evaluation system for social science scholars

To establish a data literacy evaluation system for social science scholars is a part of transformation to data-intensive scientific research paradigm in social science.Based on the literature review of data literacy and survey of social science data management features,this paper analyzed the elements of data literacy of social science scholars.The data literacy of social science scholars ma inly consists of data awareness level,data discovery and access ability,data management and organization ability,data processing and analysis ability,data utilization and preservation ability,and data ethics level.Each of these primary indexes has several secondary indexes.It constructed the evaluation system of social science scholars data literacy.The weights of the primary and secondary indexes in the system were calculated by applying AHP.The data literacy evaluation system for social science scholars can provide a reference for assessing and promoting social science scholars'data literacy ability in China.