Breaking Boundaries and Reconstruction: In-depth Reform of Data Literacy Education Models in University Libraries from a Multidimensional Perspective

Abstract

As an essential platform for knowledge dissemination in universities, the function of the library is not limited to traditional literature retrieval; it also bears the responsibility of enhancing students' data literacy. Especially with the accelerating digital transformation in the education sector, promoting the continuous innovation of data literacy education models in university libraries is highly beneficial for the long-term development of students. Based on this, this paper explores the innovative paths of data literacy education models in university libraries from a multidimensional perspective, aiming to provide valuable references for universities.