Work

Explanatory factors of digital citizenship among university students. A cross-national dataset

Year: 2024

Type: data-paper

Abstract: = 151). Information was gathered from one university in each country by using an online survey form. Statistical analyses were conducted using SmartPLS 4.1.0.6. Data analyses included structural equation modelling, mediational analysis, and multigroup analysis. The study focuses on digital citizenship, civic attitudes, personal values, and digital experiences among university students. Rather than making definitive judgments, the goal of this data-driven endeavour is to provide informative insights by identifying patterns within the dataset. The article also describes the stages of data collection and how the modelling of structural equations analysis is used to evaluate the conceptual model of the proposed relationships between variables. In addition to providing information into the current situation, the data discussed in this article is a useful tool for future research and for tailored educational activities, such as digital citizenship training sessions embedded into the academic curricula.

Source: Data in Brief

DOI: 10.1016/j.dib.2024.111011

Authors: Nicoleta Laura Popa, Gabriela Monica Assante

Institution: Alexandru Ioan Cuza University

Language: English

Topic: Citizenship Education and Democracy

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDGs: Quality education, Peace, justice, and strong institutions

Open Access status: gold

Estimated APC paid: $850