The first handy thing to notice is that the “D”s are about the past and the “P”s are in the future. Predict – forecasts what might happen in the future.What are the Four Types of Data Analytics?Ī handy way to understand data analytics is to view it in terms of what it can do for us: Let’s start with a graphic that we can unpack: This post will provide background on the four types of data analytics and offer four tips for educators. How can our school and system use these insights to keep getting better?.What pedagogical approaches are the most effective for which students?.What aren’t they learning that could help them grow?.Quality data, easily accessible and effectively visualised is one way to gain insights on such questions as: Any mentions of data in terms of education usually surface one of three understandable perspectives: protecting student privacy, boosting engagement (i.e., $) and the mostly misguided use of high-stakes, though meagre, metrics to represent human learning.įurthermore, some educators can be hesitant about “data.” Maybe data seems like numbers and graphs while our role is to nurture growth in human beings? But the right data is an asset in our very human task as it can provide some evidence about how things are going. But because data is the currency of our now digital economy, the articles typically focus on the business world.
A quick survey of the Web turns up many helpful pages on data analytics.
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