A Review of Linked Data Proposals in the Learning Domain

摘要: This study critically reviews the recently published scientific literature on Linked Data proposals in educational field. After systematically searching online bibliographic databases, 33 original works satisfied scope and quality criteria, thus were included this review. Studies classified with respect to TEL research areas; interoperability, personalization contextualized learning main areas addressed. Many studies have a foundation object repository research, where practices are applied simplify integration of datasets. As institutions gradually exposing their key datasets as Data, an emergent data web is being constituted. A number reviewed consume these for different purposes, reporting reusability enrichment benefits. Nevertheless, upcoming should be aware existing challenges, de- rived from model, such lack control sources or varying degrees quality. We also give some recommendations delivering Data- based education, including classification vocabularies, technological products. Future directions include release new federation interlinking improve cohesion Web generation artifacts, curation en- richment data, novel applications consuming performance improvements.