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Acknowledgements 1. Executive Summary In the era of " big data " there are " big opportunities " for the higher education sector. However, there are also significant challenges to overcome before the potential of analytics can be realised. education leaders coordinate a high level learning analytics task force.involving.multiple.stakeholders. guidelines for… (More)
The last five years have brought an explosion of research in the learning analytics field. However, much of what has emerged has been small scale or tool-centric. While these efforts are vitally important to the development of the field, in order to truly transform education, learning analytics must scale and become institutionalized at multiple levels… (More)
The prevalence of early alert systems (EAS) at tertiary institutions is increasing. These systems are designed to assist with targeted student support in order to improve student retention. They also require considerable human and capital resources to implement, with significant costs involved. It is therefore an imperative that the systems can demonstrate… (More)
Tertiary institutions are increasing the emphasis on generating, collecting and analyzing student data as a means of targeting student support services. This study utilizes a data set from a regional Australian university to conduct logistic regression analyzing the student enrollment outcomes. The results indicate that demographic factors have a minor… (More)
This demonstration introduces the Connected Learning Analytics (CLA) Toolkit. The CLA toolkit harvests data about student participation in specified learning activities across standard social media environments, and presents information about the nature and quality of the learning interactions.