Learning Analytics Is An Educational Application Of Big Data

Learning Analytics Learning analytics is an educational application of â€Å"big data,† a branch of statistical analysis. Learning analytics first appeared in the Horizon Reports in 2011 and although there are differences in the time-to-adopt the reports agree that high levels of adoption will be from now to 2016 (Johnson et al. 2011, p. 1) (Johnson et al. 2012, p. 3) (Johnson et al. 2013, p. 5) (Johnson et al. 2014, p. 38). Learning analytics has the ability to transform education from a standard one–size–fits–all delivery system into a responsive and flexible structure, able to meet students’ academic needs and interests. Adaptive software carefully fine-tunes the course content to keep learners motivated and engaged (Johnson et al. 2014, p. 38). Education–related data on a large scale could provide policymakers and administrators with an indication of local, regional, and national education performance and measure a program’s effectiveness and possible improvements (Johnson et al. 2014, p. 40). Combining learning analytics with student devices that will capture data in real time about how, when, and in what context the devices are used, will construct a dataset can be deeply analysed to gauge student learning (Johnson et al. 2014, p. 40). Why is Learning Analytics important now? Education is embarking on a similar pursuit into new ways to improve student engagement by provide a high-quality, personalized, authentic experience for learners. 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