search

Advanced Search

Ariadne Pfad:

Inhalt

details

Article (from a serial) accessible via
URN:
Title
Social Tagging and Open Content: A Concept for the Future of E-Learning and Knowledge Management?
Authors ; ;
SourceGaiser, Birgit [Hrsg.]; Hampel, Thorsten [Hrsg.]; Panke, Stefanie [Hrsg.]: Good Tags – Bad Tags. Social Tagging in der Wissensorganisation. Münster ; New York ; München ; Berlin : Waxmann 2008, S. 131-140. - (Medien in der Wissenschaft; 47)
Document
License of the document In copyright
Keywords (German)Open Access; E-Learning; Wissensaustausch; Inhaltserschließung; Wissensmanagement
sub-disciplineMedia Education
Other Thematic Areas
Document typeArticle (from a serial)
ISSN1434-3436
LanguageEnglish
Year of creation
review statusPublishing House Lectorship
Abstract (English):Open Content is a promising concept for e-learning and knowledge management. It can improve sharing and re-using educational resources and create new business opportunities. However, in contrast to open source software, these opportunities have not yet been adopted by a wide community. This article discusses barriers and opportunities. The Content Explosion Model shows how content can be re-used and adapted to increase sharing and distributing Open Content. Social tagging is discussed, on the basis of an implementation example (SLIDESTAR), as a means of fostering content exchange on a content community platform. (DIPF/Orig.)
is part of:Good tags - bad tags. Social Tagging in der Wissensorganisation
StatisticsNumber of document requests Number of document requests
Checksumschecksum comparison as proof of integrity
Date of publication03.05.2019
Suggested CitationKüchler, Tilman; Pawlowski, Jan M.; Zimmermann, Volker: Social Tagging and Open Content: A Concept for the Future of E-Learning and Knowledge Management? - In: Gaiser, Birgit [Hrsg.]; Hampel, Thorsten [Hrsg.]; Panke, Stefanie [Hrsg.]: Good Tags – Bad Tags. Social Tagging in der Wissensorganisation. Münster ; New York ; München ; Berlin : Waxmann 2008, S. 131-140. - (Medien in der Wissenschaft; 47) - URN: urn:nbn:de:0111-pedocs-127757
export files

share content at social platforms (only available with Javascript turned on)