Stammdaten

Titel: In Search of Reusable Educational Resources in the Web
Untertitel:
Kurzfassung:

Nowadays there is a high demand from teachers to precisely find online learning resources that are free from copyright restrictions or publicly licensed to use, adapt and redistribute in their own courses. This paper investigates the state of the art to support teachers in this search process. Repository based strategies for dissemination of educational resources are discussed and critiqued and the added value of a semantic web approach is shown. The ontology schema.org and its suitability for semantic annotation of educational resources is introduced. Current ways and weaknesses to discover educational resources based on appropriate semantic data are presented. The possibility to use the wisdom of the crowd of learners and teachers defining semantic knowledge about used learning resources is addressed. For demonstration purposes within all sections the course subject ‘Semantic SEO’, dealt in the course ‘SEO – Search Engine Optimization’ held by the author in 2016, is used.

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 26.06.2017 (Online)
Erschienen in: Proceedings of the 3rd international conference on higher education advances
Proceedings of the 3rd international conference on higher education advances
zur Publikation
 ( Editorial Universitat Politècnica de València; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 321 - 328

Versionen

Keine Version vorhanden
Erscheinungsdatum: 26.06.2017
ISBN (e-book):
  • 978-84-9048-590-3
eISSN: -
DOI: -
Homepage: https://riunet.upv.es/handle/10251/83672
Open Access
  • Online verfügbar (Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Kategorisierung

Sachgebiete
Forschungscluster
  • Selbstorganisierende Systeme
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: n.a.)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Application Engineering

Kooperationen

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