Exploration of Models for Cultivating Data Literacy in University Students by Academic Librarians in the Context of Big Data: A Case Study of Inner Mongolia University of Science & Technology
Year: 2024
Type: article
Abstract: This paper investigates the role of academic librarians in enhancing the data literacy of university students within the context of big data, with a focus on Inner Mongolia University of Science & Technology. By defining data literacy and assessing its current state among university students, the study elucidates the critical mission of librarians. It proposes a variety of instructional models, including $ng, training seminars, practical activities, and online learning. Additionally, it outlines strategies for reinforcing librarian capacity, integrating resources, promoting collaborative efforts, and establishing feedback mechanisms. These approaches aim to elevate the data literacy skills of university students to align with the evolving demands of the information age.
Source: Higher education and practice.
DOI: 10.62381/h241a02
Authors: Lili Zheng, Wenzhi Hai
Language: English
Subfield: Library and Information Sciences
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409468304