Authors:
Matteo Gaeta
;
Vincenzo Loia
;
Giuseppina Rita Mangione
;
Sergio Miranda
and
Francesco Orciuoli
Affiliation:
University of Salerno, Italy
Keyword(s):
Serendipitous Learning, Social Semantic Web, SKOS, SIOC.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Information Technologies Supporting Learning
;
Ontologies and Meta-Data Standards
;
Social Context and Learning Environments
;
Web 2.0 and Social Computing for Learning and Knowledge Sharing
Abstract:
Serendipitous Learning is the learning process occurring when hidden connections or analogies are unexpectedly
discovered, mostly during searching processes (for instance on the Web) which are typical for informal
learning activities, especially accomplished in the workplace context. Moreover, serendipitous processes have
high probability to occur in the contexts where learners have high autonomy, more chances to intervene in
different activities and to interact with resources and people. This paper proposes an approach, based on the
Social Semantic Web, to sustain and foster Serendipitous Learning. The proposed approach considers two connected
ontology layers to model knowledge by using several Semantic Web vocabularies like SIOC, Dublin
Core, SKOS, and so on. The SKOS role is particularly relevant because it allows connections among heterogeneous
resources, also across multiple communities. The proposed approach models the above-mentioned
connections at the conceptual leve
l in order to facilitate learners to discover relevant links, concepts and to
follow unexpected useful paths.
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