Supporting contextualized learning with linked open data

نویسندگان

چکیده

This paper proposes a template-based approach to semi-automatically create contextualized learning tasks out of several sources from the Web Data. The contextualization opens possibility bridging formal that happens in classroom, and informal other physical spaces, such as squares or historical buildings. created cover different cognitive levels are by their location topics covered. We applied this domain History Art Spanish region Castile Leon. gathered data DBpedia, Wikidata Open Data published regional government we 32 templates obtain 16K tasks. An evaluation with 8 teachers shows would accept students carry generated. Teachers also considered 85% generated aligned content taught classroom were found be relevant learn spaces. available at https://casuallearn.gsic.uva.es/sparql . • proposed an generate Linked related while

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ژورنال

عنوان ژورنال: Journal of Web Semantics

سال: 2021

ISSN: ['1570-8268', '1873-7749']

DOI: https://doi.org/10.1016/j.websem.2021.100657