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Research: Data warehousing and metrics guide

A report to inform institutions on what specific data they need to gather to do effective learner analytics. Combined with the metrics this will avoid all institutions from gather vast amounts of data unnecessarily and wasting time doing their own analytics to determine what correlations are significant for predicting student attainment.

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Micro Projects 2015

Synthetic Data for Testing, Demos, Benchmarking

There are many occasions when using real data is not feasible, either 1) because doing so would violate privacy or ethical considerations, or 2) because real data is not available (this is likely to apply while people take early steps with learning analytics). Simply obfuscating obviously personal data is not sufficient; there are both examples and theoretical studies that show this kind of attempt at anonymisation can ...more »

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