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For girls, there is even more powerful data: education is a sure way to reduce HIV rates and child mortality.
In most populations with available data, education is associated with health behaviours (associated with chronic diseases), health care seeking behaviours and mental health, all of which are likely to be associated with self-reported health.
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The main difference between big and small data in education is, of course, the size of data and how these data are collected and used.
Harnessing big data for education is a hot and growing area, but one that's still very much like the Wild West.
Part of computer and data science education is teaching students to think about the broader impacts and ethical implications of what they're doing and the technology they're building.
The future of data in education is enormously bright -- and admittedly big.
As an industry, we're continuing to evolve, and while the future of "big data in education" is uncertain, the ability of analytics to support instruction and improve student performance is anything but.
Another example of an emerging big data system in education is OECD's Education GPS that hosts massive amount of data from education systems around the world.
How to integrate the data of different scenarios in smart cities and build data-centric smart education is a big challenge to educators in order to provide seamless learning experience and customized personalized service for learners.
Another example of full description of data in higher education is the definitions of "faculty" and "administration".
Data for secondary education is incomplete; there are five private secondary schools in the municipality, but the number of public secondary schools is unavailable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com