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Title:
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DATA LITERACY MEASUREMENTS: A SYSTEMATIC LITERATURE REVIEW |
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Author(s):
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Aleksa Komosar, Sara Koprivica, Davide Taibi, Aleksandar Ivic, Darko Stefanovic and Sara Kijanovic |
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ISBN:
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978-989-8704-56-6 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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Data Literacy, Data Skills, Data Competencies, Measurements, Assessments, Literature Review |
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Type:
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Short |
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First Page:
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169 |
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Last Page:
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173 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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Data literacy is a complex concept that includes the skills necessary for an individual's success in the digital age. By measuring the level of data literacy, concept improvements, and greater success are realized. The goal of this research is to observe the trends when the word is about the measurement of data literacy with respect to the method, the population, and the countries in which the measurements were carried out. The PRISMA approach was used in the paper, and the Scopus and Web of Science databases were searched. Inclusion and exclusion criteria led to 22 papers to be analyzed. The results show surveys as the most frequent measurement tool in the fields of education, among students and teachers. When it comes to countries, China and Indonesia have the largest number of conducted investigations. |
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