Surgery (Austin & Northern Health) - Research Publications

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    Analysing Health Professionals' Learning Interactions in an Online Social Network: A Longitudinal Study
    Li, X ; Verspoor, K ; Gray, K ; Barnett, S ; Georgiou, A ; Schaper, LK ; Whetton, S (IOS PRESS, 2016)
    This paper summarises a longitudinal analysis of learning interactions occurring over three years among health professionals in an online social network. The study employs the techniques of Social Network Analysis (SNA) and statistical modeling to identify the changes in patterns of interaction over time and test associated structural network effects. SNA results indicate overall low participation in the network, although some participants became active over time and even led discussions. In particular, the analysis has shown that a change of lead contributor results in a change in learning interaction and network structure. The analysis of structural network effects demonstrates that the interaction dynamics slow down over time, indicating that interactions in the network are more stable. The health professionals may be reluctant to share knowledge and collaborate in groups but were interested in building personal learning networks or simply seeking information.
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    A conceptual model for analysing informal learning in online social networks for health professionals
    Xin, L ; GRAY, KM ; Chang, S ; Elliott, K ; Barnett, S ; Grain, H ; Martin Sanchez, F ; Schaper, LK (IOS Press, 2014-08-31)
    Online 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.