http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=Deryabin_Grebennikova_2023aDeryabin Grebennikova 2023a - Revision history2026-05-11T09:23:07ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10http://www.colloquiam.com/wd/index.php?title=Deryabin_Grebennikova_2023a&diff=284954&oldid=prevElle.grebennikova: Elle.grebennikova moved page Draft Grebennikova 491466064 to Deryabin Grebennikova 2023a2023-10-05T07:42:41Z<p>Elle.grebennikova moved page <a href="/public/Draft_Grebennikova_491466064" class="mw-redirect" title="Draft Grebennikova 491466064">Draft Grebennikova 491466064</a> to <a href="/public/Deryabin_Grebennikova_2023a" title="Deryabin Grebennikova 2023a">Deryabin Grebennikova 2023a</a></p>
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<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 07:42, 5 October 2023</td>
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</td></tr></table>Elle.grebennikovahttp://www.colloquiam.com/wd/index.php?title=Deryabin_Grebennikova_2023a&diff=284953&oldid=prevElle.grebennikova: Created page with " == Abstract == The study examines the practices of teaching data literacy for adolescents. The intersections of data literacy with statistical literacy, quantitative thinkin..."2023-10-05T07:42:28Z<p>Created page with " == Abstract == The study examines the practices of teaching data literacy for adolescents. The intersections of data literacy with statistical literacy, quantitative thinkin..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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The study examines the practices of teaching data literacy for adolescents. The intersections of data literacy with statistical literacy, quantitative thinking, computational skills, and Data Science are explored. A competence model for data literacy is introduced with key competency clusters – technical, scientific, and social – aligned with the components of a scientific practice and data mining research cycle. The conclusions underscore the importance of students engaging in the exploration and modeling of socio-humanitarian data as part of their learning process. This content, firstly, aligns most closely with the sociocognitive specificity of the age, secondly, it lays the foundations for students’ interdisciplinary understanding of contemporary phenomena, which is in demand across a wide range of professions. Future directions encompass refining the data literacy model, creating methodological resources for developing data literacy within education systems, and providing pedagogical guidance and materials for educators adopting data literacy techniques.<br />
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== Full document ==<br />
<pdf>Media:Draft_Grebennikova_491466064-3945-document.pdf</pdf></div>Elle.grebennikova