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Autoren:
Nistor, Nicolae; Dascălu, Mihai; Stavarache, Lucia Larise; Serafin, Yvonne; Trăuşan-Matu, Ştefan 
Dokumenttyp:
Sammelbandbeitrag / Paper in Collective Volume 
Titel:
Informal Learning in Online Knowledge Communities: Predicting Community Response to Visitor Inquiries 
Titel Sammlung:
Design for Teaching and Learning in a Networked World 
Untertitel Sammlung:
10th European conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15-18, 2015, Proc 
Herausgeber Sammlung:
Conole, Gráinne; Klobucar, Tomaž; Rensing, Christoph; Konert, Johannes; Lavoué, Élise 
Reihentitel:
Lecture Notes in Computer Science 
Bandnummer Reihe:
9307 
Konferenztitel:
European Conference on Technology Enhanced Learning (10., 2015, Toledo) 
Konferenztitel:
EC-TEL 2015 
Tagungsort:
Toledo 
Jahr der Konferenz:
2015 
Datum Beginn der Konferenz:
15.09.2015 
Datum Ende der Konferenz:
18.09.2015 
Verlagsort:
New York 
Verlag:
Springer 
Auflage:
Jahr:
2015 
Seiten von - bis:
447-452 
Sprache:
Englisch 
Schlagwörter:
Social learning analytics, Computational linguistics, Informal learning, Online knowledge communities 
Abstract:
Informal learning in online knowledge communities (OKCs) comprises visitor inquiries on specific topics. Learning can occur only if the OKC adequately respond. This study aims to predict OKC response, using a social learning analytics approach based on computational linguistics and Bakhtin’s theory of dialogism. Observing the blog topic (cooking vs. politics & economics) and the visitor inquiry format (off-topic vs. on-topic), a field experiment with a 2 × 2 factorial design was conducted on a sample of N = 68 blogger communities with a total of 25,303 members. For the entire sample, the community response was influenced only by the inquiry format. In a separate examination of experimental groups, only for one examined topic (cooking) this remained true, while for the other (politics & economics) the community response only depended on the previously established dialog quality. The findings suggest identification criteria for responsive communities, which can support OKC integration in learning environments. 
ISBN:
978-3-319-24257-6 (Print) ; 978-3-319-24258-3 (eBook) 
Fakultät:
Fakultät für Humanwissenschaften 
Institut:
Department für Bildungswissenschaft 
Professur:
Nistor, Nicolae 
Open Access ja oder nein?:
Ja / Yes