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Massive Online Open Courses (MOOCs) are growing substantially in numbers, and also in interest from the educational community. MOOCs offer particular challenges for what is becoming accepted as mainstream practice in learning analytics. Partly for this reason, and partly because of the relative newness of MOOCs as a widespread phenomenon, there is not yet(More)
This paper develops Campbell and Oblinger's [4] five-step model of learning analytics (Capture, Report, Predict, Act, Refine) and other theorisations of the field, and draws on broader educational theory (including Kolb and Schön) to articulate an incrementally more developed, explicit and theoretically-grounded Learning Analytics Cycle. This cycle(More)
Massive open online courses (MOOCs) are now being used across the world to provide millions of learners with access to education. Many learners complete these courses successfully, or to their own satisfaction, but the high numbers who do not finish remain a subject of concern for platform providers and educators. In 2013, a team from Stanford University(More)
Knowledge management (KM) and knowledge sharing are important factors that support lifelong learning, and enable people to continue developing throughout their careers. The concept of a Community of Practice (Wenger, 2000) is attractive in drawing together people whose work shares similar aspects, and consideration is given here to how technology can be(More)
Massive open online courses (MOOCs) are part of the lifelong learning experience of people worldwide. Many of these learners participate fully. However, the high levels of dropout on most of these courses are a cause for concern. Previous studies have suggested that there are patterns of engagement within MOOCs that vary according to the pedagogy employed.(More)
It is important that the LAK community looks to the future, in order that it can help develop the policies, infrastructure and frameworks that will shape its future direction and activity. Taking as its basis the Visions of the Future study carried out by the Learning Analytics Community Exchange (LACE) project, the panelists will present future scenarios(More)
Once learning analytics have been successfully developed and tested, the next step is to implement them at a larger scale -- across a faculty, an institution or an educational system. This introduces a new set of challenges, because education is a stable system, resistant to change. Implementing learning analytics at scale involves working with the entire(More)
Informal participation in science is being recognized as an important way of developing science learning both for children and adults. Mobile learning has particular properties that have potential in informal science settings, particularly outside traditional educational settings. Mobile technologies provide new opportunities for learners to engage with(More)