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dc.contributor.author | Andrade Hoz, Jimena | |
dc.contributor.author | Vega Gorgojo, Guillermo | |
dc.contributor.author | Ruano, Irene | |
dc.contributor.author | Bote Lorenzo, Miguel Luis | |
dc.contributor.author | Asensio Pérez, Juan Ignacio | |
dc.contributor.author | Bravo Oviedo, Felipe | |
dc.contributor.author | Ordóñez, Cristóbal | |
dc.date.accessioned | 2021-10-22T08:02:55Z | |
dc.date.available | 2021-10-22T08:02:55Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | De Laet, Tinne; Klemke, Roland; Alario Hoyos, Carlos; Hilliger, Isabel; Ortega Arranz, Alejandro (eds.). Proceedings of the 6th European Conference on Technology Enhanced Learning, EC-TEL 2021. Bolzano, Italia: Springer, 2021, p. 368-372 | es |
dc.identifier.isbn | 978-3-030-86436-1 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/49286 | |
dc.description | Producción Científica | es |
dc.description.abstract | Educawood is a socio-semantic annotation system intended for environmental learning in Secondary and Higher Education. It can be used to socially annotate trees and other ecosystem structures such as dead wood. Furthermore, Educawood allows the exploration of existing semantic datasets of land cover maps and forestry inventories as well as social tree annotations (all released as Linked Open Data). Teachers can browse these data to propose contextualized environmental education activities, e.g. finding and annotating singular trees. Students can go on a field trip and use Educawood with their mobile devices to submit tree annotations. Follow-up activities can exploit socially-created tree annotations, for example in virtual field trips. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer Link | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.classification | Environmental education | es |
dc.subject.classification | Educación ambiental | es |
dc.subject.classification | Linked open data | es |
dc.subject.classification | Datos abiertos enlazados | es |
dc.subject.classification | Forestry datasets | es |
dc.subject.classification | Datasets de silvicultura | es |
dc.title | Educawood: A Socio-semantic Annotation System for Environmental Education | es |
dc.title.alternative | EC-TEL 2021 | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.rights.holder | © 2021 Springer | es |
dc.identifier.doi | 10.1007/978-3-030-86436-1_37 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-86436-1_37 | es |
dc.title.event | European Conference on Technology Enhanced Learning, EC-TEL 2021 (16º. 2021. Bolzano, Italy) | es |
dc.description.project | Junta de Castilla y León - Fondo Europeo de Desarrollo Regional (project VA257P18) | es |
dc.description.project | Agencia Estatal de Investigación - Fondo Europeo de Desarrollo Regional (project TIN2017-85179-C3-2-R) | es |
dc.description.project | Cross-Forest (project CEF 2017-EU-IA-0140) | es |
dc.description.project | VirtualForests (project Erasmus+ 2020-1-ES01- KA226-HE-095836) | es |
dc.description.project | Universidad de Valladolid (project UVA-PID2020-015) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es |
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