Using big data techniques for measuring productive friction in mass collaboration online environments

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dc.contributor.author Holtz, Peter
dc.contributor.author Kimmerle, Joachim
dc.contributor.author Cress, Ulrike
dc.date.accessioned 2019-06-12T08:17:16Z
dc.date.available 2019-06-12T08:17:16Z
dc.date.issued 2018
dc.identifier.issn 1556-1615
dc.identifier.uri http://hdl.handle.net/10900/89496
dc.language.iso en de_DE
dc.publisher Springer de_DE
dc.relation.uri http://dx.doi.org/10.1007/s11412-018-9285-y de_DE
dc.rights info:eu-repo/semantics/closedAccess
dc.subject.ddc 004 de_DE
dc.subject.ddc 370 de_DE
dc.title Using big data techniques for measuring productive friction in mass collaboration online environments de_DE
dc.type Artikel de_DE
utue.quellen.id 20190321153956_00255
utue.publikation.seiten 439-456 de_DE
utue.personen.roh Holtz, Peter
utue.personen.roh Kimmerle, Joachim
utue.personen.roh Cress, Ulrike
dcterms.isPartOf.ZSTitelID International Journal of Computer - Supported Collaborative Learning de_DE
dcterms.isPartOf.ZS-Issue 4 de_DE
dcterms.isPartOf.ZS-Volume 13 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät de_DE


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