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dc.contributor.authorGarcía Zarza, Pablo 
dc.contributor.authorVega Gorgojo, Guillermo 
dc.contributor.authorBote Lorenzo, Miguel Luis 
dc.contributor.authorGallego Lema, Vanesa 
dc.contributor.authorAsensio Pérez, Juan Ignacio 
dc.contributor.authorGómez Sánchez, Eduardo 
dc.date.accessioned2025-11-26T11:23:00Z
dc.date.available2025-11-26T11:23:00Z
dc.date.issued2025
dc.identifier.citationIEEE Transactions on Learning Technologies, Noviembre 2025, vol. 18, p. 1021-1035es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/80085
dc.descriptionProducción Científicaes
dc.description.abstractUbiquitous learning (u-learning) leverages educational technologies to help students learn anywhere and anytime across multiple physical and virtual spaces. However, u-learning applications face a challenging tradeoff: Should they provide a predefined set of u-learning resources, thus saving time for teachers, but limiting their applicability to a wider range of u-learning situations? Or should they allow teachers to create their own u-learning resources, improving flexibility, but requiring a nonnegligible effort from teachers that typically ends up in learning resources that cannot be reused by other teachers or by other u-learning applications? Cultural Heritage Educational Semantic Tool (CHEST), the application presented in this article, addresses this tradeoff proposing the use (and reuse) of Linked Open Data (LOD) to support teachers in designing u-learning situations in the cultural heritage domain. CHEST hides the complexity of LOD to teachers, thus reducing the effort in creating u-learning situations, while, at the same time, taking advantage of its reusable nature. CHEST allows teachers to create and reuse three types of learning resources in the form of LOD: spatial things, learning tasks, and itineraries (which group the other two types of resources). This article elicits the requirements considered for the development of CHEST, describes its architecture, and presents the results of an evaluation study carried out with a CHEST prototype in the context of a university course involving two teachers and 14 students. The evaluation examines how CHEST supports teachers in the creation and reuse of u-learning resources based on LOD, paying attention to the balance between flexibility and required effort, while it also showcases how CHEST supports the enactment of u-learning situations in an authentic educational context. The study provides valuable insights into the applicability and effectiveness of CHEST within a specific educational context.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherIEEEes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.classificationLOD authoringes
dc.subject.classificationubiquitous learninges
dc.subject.classificationlearning taskses
dc.subject.classificationitinerarieses
dc.subject.classificationcultural heritagees
dc.titleCHEST: An Application to Support Teachers in the Use of Linked Open Data for Ubiquitous Learninges
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder2025 IEEE. All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. Personal use is permitted, but republication/redistribution requires IEEE permission.es
dc.identifier.doi10.1109/TLT.2025.3629584es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/11230835es
dc.identifier.publicationfirstpage1021es
dc.identifier.publicationlastpage1035es
dc.identifier.publicationtitleIEEE Transactions on Learning Technologieses
dc.identifier.publicationvolume18es
dc.peerreviewedSIes
dc.description.projectThis work has been partially supported by grants PID2023-146692OBC32, PID2020-112584RB-C32, and TED2021-130667B-I00 funded by MICIU/ AEI/10.13039/501100011033, ERDF, and NextGenerationEU/PRTR. Pablo Garc´ıa-Zarza has been funded by the call for predoctoral fellow UVa 2022, co-funded by Banco Santander.es
dc.identifier.essn1939-1382es
dc.identifier.essn2372-0050es
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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