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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Streaming Physiological Data: General Public Perceptions Of Secondary Use And Application To Research In Neonatal Intensive Care, Carolyn P. Mcgregor, Jennifer A. Heath, Yvonne Choi
Streaming Physiological Data: General Public Perceptions Of Secondary Use And Application To Research In Neonatal Intensive Care, Carolyn P. Mcgregor, Jennifer A. Heath, Yvonne Choi
Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers
High speed physiological data represents one of the most untapped resources in healthcare today and is a form of Big Data. Physiological data is captured and displayed on a wide range of devices in healthcare environments. Frequently this data is transitory and lost once initially displayed. Researchers wish to store and analyze these datasets, however, there is little evidence of any engagement with citizens regarding their perceptions of physiological data capture for secondary use. This paper presents the findings of a self-administered household survey (n=165, response rate = 34%) that investigated Australian and Canadian citizens' perceptions of such physiological data …
Data Driven Decision Making In Chemistry First Year Subjects, Simon Bernard Bedford, Jennifer A. Heath
Data Driven Decision Making In Chemistry First Year Subjects, Simon Bernard Bedford, Jennifer A. Heath
Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers
Analytics is not a new area of endeavour with many industries and other professions being well ahead of the education sector in the uptake of advanced analytics methods and tools (Abdous, He, & Yen, 2012; Dziuban, Moskal, Cavanagh, & Watts, 2012). Wagner and Ice (2012) describe higher education as being on the early side of the analytics adoption curve when compared to retail, telecommunications, financial services and manufacturing. Analytics is often used in higher education institutions to identify and also predict individual students who may be 'at risk' (Fritz, 2011).