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               <dc:title>Computational techniques for data science applied to broaden the&#xd;
knowledge between citizen science and education</dc:title>
               <dc:creator>Calvera Isabal, Miriam</dc:creator>
               <dc:creator>Varas Paneque, Núria</dc:creator>
               <dc:creator>Santos, Patricia</dc:creator>
               <dc:subject>Citizen Science</dc:subject>
               <dc:subject>Education</dc:subject>
               <dc:subject>Data Analysis</dc:subject>
               <dc:description>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 virtual</dc:description>
               <dc:description>This 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.</dc:description>
               <dc:description>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.</dc:description>
               <dc:date>2021-12-15T10:45:36Z</dc:date>
               <dc:date>2021-12-15T10:45:36Z</dc:date>
               <dc:date>2021</dc:date>
               <dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:relation>Sampson DG, Ifenthaler D, Isaías P, editors. Proceedings of the 18th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2021); 2021 Oct 13-15; Lisbon, Portugal. Lisbon: IADIS Press; 2021.</dc:relation>
               <dc:relation>info:eu-repo/grantAgreement/EC/H2020/872522</dc:relation>
               <dc:rights>© IADIS Press. Licensed under a Creative Commons License, namely attribution-noncommercial-noderivatives</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>IADIS Press</dc:publisher>
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