Computational Techniques for Data Science Applied to Broaden the Knowledge between Citizen Science and Education [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (18th, Virtual, Oct 13-15, 2021).

Autor/inn/en	Calvera-Isabal, Miriam; Varas, Nuria; Santos, Patricia
Titel	Computational Techniques for Data Science Applied to Broaden the Knowledge between Citizen Science and Education [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (18th, Virtual, Oct 13-15, 2021).
Quelle	(2021), (8 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Citizen Participation; Scientific Research; Science and Society; Science Education; Science Projects; Data Analysis; Educational Resources; Data Use; Technology Uses in Education + Suchen Sie Ihr Suchwort? 'Citizen participation; Citizens'' participation'; Bürgerbeteiligung; Naturwissenschaftliche Bildung; Science; Project; Wissenschaft; Projekt; Auswertung; Bildungsmittel; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen
Abstract	This paper describes a preliminary study of how computational methods allow us to know more about citizen science and its connection with education. Citizen science is a practice involving a general public in scientific tasks and generating knowledge and scientific results. Previous studies have shown that the education sector can take benefit of the knowledge and activities organized or resources generated in CS projects. Previous studies have shown that the education sector can take advantage of the knowledge and activities organized in CS projects. In this paper, we analyze three citizen science platforms (Eu.Citizen science platform, Observatorio de la ciencia ciudadana and Oficina de la ciència ciutadana) with computational analytics techniques to provide initial insights of how educators can take benefit of the analysis of large amounts of data from CS. Finally, different visualizations and dashboards have been developed as illustrative examples of tools to support educators and learners. These tools provide information about citizen science projects, an overview of scientific vocabulary, access to validated resources and examples of technology used in scientific inquiry that can be used with educational purposes. [For the full proceedings, see ED621108.] (As Provided).
Anmerkungen	International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01