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Title:
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SEMANTIC ANNOTATION OF RESOURCES TO LEARN WITH CONNECTED THINGS |
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Author(s):
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Aymeric Bouchereau and Ioan Roxin |
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ISBN:
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978-989-8533-63-0 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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Digital learning resource, Internet of Things, Linked Open Data, semantic web, ubiquitous learning |
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Type:
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Reflection Paper |
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First Page:
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213 |
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Last Page:
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216 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Computer systems tend to be ubiquitous as they become more integrated in our everyday activities, embedded in tables, shoes, watch and plenty of others connected things (CT). In the e-learning field, the transformations induced by the Internet of Things (IoT) allow individuals to learn whenever they want, accessing a quantity of diverse digital learning resources (DLR) and experiencing new interaction modes paired with innovative pedagogical methods. In the perspective of ubiquitous learning in line with the IoT paradigm, accessibility and interoperability of the DLRs became critical for accessing knowledge. The growing volume of online data scattered in heterogeneous repositories restrains these DLR characteristics. In these conditions, we think semantic Web technologies can be used to face these challenging issues enhance DLR accessibility and interoperability to sustain ubiquitous learning. |
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