Data of digital literacy level measurement of Indonesian students: Based on the components of ability to use media, advanced use of digital media, managing digital learning platforms, and ethics and safety in the use of digital media

This dataset portrays the measurement of Digital Literacy of students based on the components Ability to use Media (Am), Advanced use of Digital Media (Adm), Managing Digital Learning Platforms (Mp), and Ethics and Safety in the use of digital media (Es) of Indonesian students at the junior high sch...

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Bibliographic Details
Published inData in brief Vol. 54; p. 110397
Main Authors Harmawati, Yuni, Sapriya, Abdulkarim, Aim, Bestari, Prayoga, Sari, Beti Indah
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.06.2024
Elsevier
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Summary:This dataset portrays the measurement of Digital Literacy of students based on the components Ability to use Media (Am), Advanced use of Digital Media (Adm), Managing Digital Learning Platforms (Mp), and Ethics and Safety in the use of digital media (Es) of Indonesian students at the junior high school level in the region Madiun City in implementing and utilizing digital technology as a means and source of learning material. An online survey was distributed to collect data on demographic information (2 items), Digital Literacy (50 items) which was divided into several components which included Am (13 items), Mp (9 items), Adm (13 items) and Es (15 items), which was carried out from October to December 2022. A total of 385 respondents were involved using probability sampling based on a random convenienve sample of Indonesian students from 12 junior high schools in Madiun City and its surroundings. The survey data were analyzed using the Anova One Way and Partial Correlation statistical analysis tests. This dataset can assist teacher institutions in designing effective programs to improve digital literacy of students in utilizing technology as a source of material and knowledge in the student learning process. Future researchers can compare this dataset with data which is more rigorous, especially from developing countries.
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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2024.110397