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8K Miles' Response to RFP - NCPA

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Consider how K-12 educa<strong>to</strong>rs and students could use this solution <strong>to</strong> allow the sharing of<br />

textbooks, reading and homework assignments, homework and project submissions, grades, and<br />

collaboration between students, between teachers, and between schools. School districts are<br />

considering providing tablets starting at the grade school level. This mobile solution can<br />

immediately tie teachers and students <strong>to</strong>gether in a coordinated way that was not available even a<br />

year ago.<br />

This solution is a natural add-on for schools or enterprises that have already deployed <strong>8K</strong>Miles<br />

secure VPN solutions with the addition of collaboration capabilities.<br />

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State and local governments and educational institutions increasingly rely on Big Data <strong>to</strong><br />

improve effectiveness of learning by offering personalized learning. A recent paper from the<br />

Brookings Institution, “Big Data for Education: Data Mining, Data Analytics, and Web<br />

Dashboards” concludes by noting that bringing teachers in<strong>to</strong> the “big data” discussion is crucial<br />

because they are the ones, along with parents and students, who will benefit from advances in<br />

research and analysis. Projects that let teachers know which pedagogic techniques are most<br />

effective or how students differ in their style of learning enable instruc<strong>to</strong>rs <strong>to</strong> do a better job.<br />

Tailoring education <strong>to</strong> the individual student is one of the greatest benefits of technology, and<br />

Big Data will help teachers personalize learning.<br />

<strong>8K</strong>Miles brings years of experience helping organizations worldwide take a systematic approach<br />

<strong>to</strong> Big Data analytics <strong>to</strong> improve decision making. Figure 6 shows the framework <strong>8K</strong>Miles has<br />

employed in transitioning large amounts of structured and unstructured data in<strong>to</strong> AWS s<strong>to</strong>rage<br />

services, cost effectively processing this data using EMR, and populating the data in<strong>to</strong> the AWS<br />

database service for analytics.

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