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Title:
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STATISTICAL LITERACY AND BIG DATA |
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Author(s):
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Carlos Monteiro and Karen François |
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ISBN:
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978-989-8704-14-6 |
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Editors:
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Piet Kommers, Boyan Bontchev and Pedro Isaías |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Statistics Education, Statistical Literacy, Big Data, Teacher Education |
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Type:
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Reflection |
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First Page:
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163 |
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Last Page:
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166 |
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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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click to dowload 
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Paper Abstract:
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Statistics educators have developed concepts and pedagogical approaches regarding statistical literacy in order to enable
students to deal with statistical data as citizens. Statistical literacy is important to interpret and evaluate statistical
information, as well as to develop data-based arguments. The emergence of information clusters called big data have been
shown as an even more challenging phenomenon for statistics education. Big data refers to sets of information that are
continuously generated by several media in various social situations, including web page captures, smartphone uses, online
shopping, and banking. Generally, people are not aware of different processes in which they are engaged in big data
production, nor in possible consequences of the uses of data may have. This paper discusses the need to develop a
perspective of literacy in big data in the scope of statistical literacy processes. |
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