<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-18T07:41:41Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/49216" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/49216</identifier><datestamp>2025-12-13T21:28:02Z</datestamp><setSpec>com_2072_6</setSpec><setSpec>col_2072_452952</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <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>
   <dcterms: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 virtual</dcterms:abstract>
   <dcterms:abstract>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.</dcterms:abstract>
   <dcterms:abstract>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.</dcterms:abstract>
   <dcterms:issued>2021-12-15T10:45:36Z</dcterms:issued>
   <dcterms:issued>2021-12-15T10:45:36Z</dcterms:issued>
   <dcterms:issued>2021</dcterms:issued>
   <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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