2023
DOI: 10.1108/ils-06-2023-0075
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The data awareness framework as part of data literacies in K-12 education

Lukas Höper,
Carsten Schulte

Abstract: Purpose In today’s digital world, data-driven digital artefacts pose challenges for education, as many students lack an understanding of data and feel powerless when interacting with them. This paper aims to address these challenges and introduces the data awareness framework. It focuses on understanding data-driven technologies and reflecting on the role of data in everyday life. The paper also presents an empirical study on young school students’ data awareness. Design/methodology/approach The study involv… Show more

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Cited by 5 publications
(5 citation statements)
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“…Hence, the coding scheme for this analysis is defined deductively based on the framework, resulting in five code categories: (a) explicit data collection, (b) implicit data collection, (c) primary data processing purposes, (d) secondary data processing purposes, and (e) data models about users (see Table 1). We have developed the coding manual for the code categories (a) to (d) in a previous study (see , Höper and Schulte, 2023). One of the authors coded all relevant segments from the interviews (these are described in the previous section).…”
Section: Discussionmentioning
confidence: 99%
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“…Hence, the coding scheme for this analysis is defined deductively based on the framework, resulting in five code categories: (a) explicit data collection, (b) implicit data collection, (c) primary data processing purposes, (d) secondary data processing purposes, and (e) data models about users (see Table 1). We have developed the coding manual for the code categories (a) to (d) in a previous study (see , Höper and Schulte, 2023). One of the authors coded all relevant segments from the interviews (these are described in the previous section).…”
Section: Discussionmentioning
confidence: 99%
“…However, the data collection and processing by ddA and their influences are often not transparent and apparent to students. Recent research indicates that students lack awareness and understanding of the data collection and processing by ddA, and are not aware of where, how and why data about them is collected and processed (e.g., Bowler et al, 2017;Bucher, 2017;Goray and Schoenebeck, 2022;Selwyn, 2019, 2020;Tedre et al, 2020) (for an overview, see, Höper and Schulte, 2023). Moreover, even when students are taught about data and data-driven technologies, studies report that they struggle to relate their understanding to their everyday lives and reflect on it accordingly (e.g., Bowler et al, 2017;Gebre, 2018;Livingstone et al, 2019;Vartiainen et al, 2021).…”
Section: Students Lack Understanding Of Data-driven Technologies and ...mentioning
confidence: 99%
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