Dataset of digital literacy of university students in Indonesia.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-12-16 eCollection Date: 2025-02-01 DOI:10.1016/j.dib.2024.111227

Ermida Simanjuntak, Happy Cahaya Mulya, Agustina Engry, Ilham Nur Alfian

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Abstract

Digital literacy entails the ability to collect information, comprehend text on multimedia platforms, critically evaluate information, and communicate that information collaboratively. These skills are essential for university students to interact appropriately in cyberspace. This dataset aims to provide a comprehensive overview of digital literacy skills among university students in Indonesia. It comprises responses from 2921 university students (805 males and 2116 females) from various regions across the country. Data were measured using a digital literacy scale consisting of six subscales: technological skill, personal security skill, critical skill, device security skill, informational skill, and communication skill. This dataset plays an important role in describing the prevalent digital literacy competencies among Indonesian university students. It can contribute valuable information for the development of digital literacy programs to enhance these skills among Indonesian university students. Furthermore, this dataset holds academic significance for researchers interested in conducting cross-cultural comparisons of digital literacy trends among university students in different global contexts.

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印度尼西亚大学生数字素养数据集。

数字素养需要收集信息、理解多媒体平台上的文本、批判性地评估信息以及协同交流信息的能力。这些技能对于大学生在网络空间中进行适当的互动至关重要。该数据集旨在提供印度尼西亚大学生数字素养技能的全面概述。它包括来自全国各地2921名大学生（805名男性和2116名女性）的回答。使用数字素养量表测量数据，该量表由六个子量表组成：技术技能、个人安全技能、关键技能、设备安全技能、信息技能和沟通技能。该数据集在描述印度尼西亚大学生普遍的数字素养能力方面发挥着重要作用。它可以为数字扫盲计划的发展提供有价值的信息，以提高印尼大学生的这些技能。此外，该数据集对于有兴趣对不同全球背景下大学生数字素养趋势进行跨文化比较的研究人员具有学术意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.