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                  <mods:namePart>Calvera Isabal, Miriam</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Varas Paneque, Núria</mods:namePart>
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                  <mods:namePart>Santos, Patricia</mods:namePart>
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                  <mods:dateIssued encoding="iso8601">2021-12-15T10:45:36Z2021-12-15T10:45:36Z2021</mods:dateIssued>
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               <mods:abstract>Comunicació presentada a: 18th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2021) celebrat del 13 al 15 d&amp;apos;octubre de 2021de manera virtualThis paper describes a preliminary study of how computational methods allow us to know more about citizen science and&#xd;
its connection with education. Citizen science is a practice involving a general public in scientific tasks and generating&#xd;
knowledge and scientific results. Previous studies have shown that the education sector can take benefit of the knowledge&#xd;
and activities organized or resources generated in CS projects. Previous studies have shown that the education sector can&#xd;
take advantage of the knowledge and activities organized in CS projects. In this papers, we analyze three citizen science&#xd;
platforms (Eu.Citizen science platform, Observatorio de la ciencia ciudadana and Oficina de la ciència ciutadana) with&#xd;
computational analytics techniques to provide initial insights of how educators can take benefit of the analysis of large&#xd;
amounts of data from CS. Finally, different visualizations and dashboards have been developed as illustrative examples of&#xd;
tools to support educators and learners. These tools provide information about citizen science projects, an overview of&#xd;
scientific vocabulary, access to validated resources and examples of technology used in scientific inquiry that can be used&#xd;
with educational purposes.This work has been partially funded by the CS Track project, European Union’s Horizon 2020 research and&#xd;
innovation programme under grant agreement No 872522. Patricia Santos acknowledges the support by the&#xd;
Spanish Ministry of Science and Innovation under the Ramon y Cajal programme.</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">© IADIS Press. Licensed under a Creative Commons License, namely attribution-noncommercial-noderivatives info:eu-repo/semantics/openAccess</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Citizen Science</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Education</mods:topic>
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               <mods:subject>
                  <mods:topic>Data Analysis</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Computational techniques for data science applied to broaden the&#xd;
knowledge between citizen science and education</mods:title>
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