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dc.contributor.authorLi, Xen_US
dc.contributor.authorGray, Ken_US
dc.contributor.authorChang, Sen_US
dc.contributor.authorElliott, Ken_US
dc.contributor.authorBarnett, Sen_US
dc.date.available2014-12-05T01:13:21Z
dc.date.issued2014-01-01en_US
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000452509200013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1cen_US
dc.identifier.citationLi, X; Gray, K; Chang, S; Elliott, K; Barnett, S, A conceptual model for analysing informal learning in online social networks for health professionals, INVESTING IN E-HEALTH: PEOPLE, KNOWLEDGE AND TECHNOLOGY FOR A HEALTHY FUTURE, 2014, 204 pp. 80 - 85en_US
dc.identifier.issn0926-9630en_US
dc.identifier.urihttp://hdl.handle.net/11343/43110
dc.description.abstractOnline social networking (OSN) provides a new way for health professionals to communicate, collaborate and share ideas with each other for informal learning on a massive scale. It has important implications for ongoing efforts to support Continuing Professional Development (CPD) in the health professions. However, the challenge of analysing the data generated in OSNs makes it difficult to understand whether and how they are useful for CPD. This paper presents a conceptual model for using mixed methods to study data from OSNs to examine the efficacy of OSN in supporting informal learning of health professionals. It is expected that using this model with the dataset generated in OSNs for informal learning will produce new and important insights into how well this innovation in CPD is serving professionals and the healthcare system.
dc.description.abstractOnline social networking (OSN) provides a new way for health professionals to communicate, collaborate and share ideas with each other for informal learning on a massive scale. It has important implications for ongoing efforts to support Continuing Professional Development (CPD) in the health professions. However, the challenge of analysing the data generated in OSNs makes it difficult to understand whether and how they are useful for CPD. This paper presents a conceptual model for using mixed methods to study data from OSNs to examine the efficacy of OSN in supporting informal learning of health professionals. It is expected that using this model with the dataset generated in OSNs for informal learning will produce new and important insights into how well this innovation in CPD is serving professionals and the healthcare system.
dc.description.abstractOnline social networking (OSN) provides a new way for health professionals to communicate, collaborate and share ideas with each other for informal learning on a massive scale. It has important implications for ongoing efforts to support Continuing Professional Development (CPD) in the health professions. However, the challenge of analysing the data generated in OSNs makes it difficult to understand whether and how they are useful for CPD. This paper presents a conceptual model for using mixed methods to study data from OSNs to examine the efficacy of OSN in supporting informal learning of health professionals. It is expected that using this model with the dataset generated in OSNs for informal learning will produce new and important insights into how well this innovation in CPD is serving professionals and the healthcare system.
dc.languageEnglishen_US
dc.publisherIOS PRESSen_US
dc.titleA conceptual model for analysing informal learning in online social networks for health professionalsen_US
dc.typeJournal Article
dc.identifier.doi10.3233/978-1-61499-427-5-80en_US
melbourne.affiliation.departmentSurgery - Austin Health
melbourne.affiliation.departmentMelbourne Medical School
melbourne.source.titleINVESTING IN E-HEALTH: PEOPLE, KNOWLEDGE AND TECHNOLOGY FOR A HEALTHY FUTUREen_US
melbourne.source.volume204en_US
melbourne.source.pages80 - 85en_US
melbourne.elementsid918795
pubs.publication-statusPublisheden_US
dc.identifier.orcid0000-0003-2275-7277
dc.identifier.orcid0000-0003-1616-2170
dc.identifier.orcid0000-0002-2163-3910
dc.identifier.orcid0000-0002-7599-0358
melbourne.internal.proprietaryauthorid131878A
melbourne.internal.proprietaryauthorid73A
melbourne.internal.proprietaryauthorid69154A
melbourne.internal.proprietaryauthorid3747A
melbourne.internal.proprietaryauthorid623959B
melbourne.contributor.authorGray, Kathleen
melbourne.contributor.authorElliott, Kristine
melbourne.contributor.authorBarnett, Stephen
melbourne.contributor.authorChang, Shanton
melbourne.contributor.authorLi, Xin
melbourne.contributor.orcidGray, Kathleen [0000-0003-1616-2170]
melbourne.contributor.orcidChang, Shanton [0000-0002-2163-3910]
melbourne.contributor.orcidElliott, Kristine [0000-0002-7599-0358]
melbourne.accessrightsOpen Access


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