RT info:eu-repo/semantics/article
T1 Supporting contextualized learning with linked open data
A1 Ruiz Calleja, Adolfo
A1 Vega Gorgojo, Guillermo
A1 Bote Lorenzo, Miguel Luis
A1 Asensio Pérez, Juan Ignacio
A1 Dimitriadis Damoulis, Ioannis
A1 Gómez Sánchez, Eduardo
K1 Contextualized learning
K1 Aprendizaje contextual
K1 Linked open data
K1 Datos abiertos enlazados
AB This paper proposes a template-based approach to semi-automatically create contextualized learning tasks out of several sources from the Web of Data. The contextualization of learning tasks opens the possibility of bridging formal learning that happens in a classroom, and informal learning that happens in other physical spaces, such as squares or historical buildings. The tasks created cover different cognitive levels and are contextualized by their location and the topics covered. We applied this approach to the domain of History of Art in the Spanish region of Castile and Leon. We gathered data from DBpedia, Wikidata and the Open Data published by the regional government and we applied 32 templates to obtain 16K learning tasks. An evaluation with 8 teachers shows that teachers would accept their students to carry out the tasks generated. Teachers also considered that the 85% of the tasks generated are aligned with the content taught in the classroom and were found to be relevant to learn in other informal spaces. The tasks created are available at https://casuallearn.gsic.uva.es/sparql.
PB Elsevier
SN 1570-8268
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/49172
UL https://uvadoc.uva.es/handle/10324/49172
LA eng
NO Journal of Web Semantics, 2021, vol. 70, 100657
NO Producción Científica
DS UVaDOC
RD 22-dic-2024