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Education Analytics

Education Analytics White paper March 2017 Education Analytics white paper | March 2017 2 Table of Contents 1 Executive summary .. 3 2 IT trends .. 3 Cloud based services .. 5 Drivers for cloud based services .. 5 Cloud service models .. 6 Data Analytics in cloud .. 7 Microsoft Services Advanced Analytics offering .. 9 3 Analytics overview .. 10 4 Analytics in 14 Opportunities for Analytics in Education .. 15 Student success .. 16 5 Case: Improving graduation in vocational Education in Finland .. 19 User scenarios .. 20 Solution elements .. 21 Technology stack .. 22 6 Getting there .. 23 7 References .. 26 8 Acknowledgements .. 27 Education Analytics white paper | March 2017 3 1 Executive summary The purpose of this document is to describe how schools and school systems can utilize advanced data Analytics to better achieve the goals in Education and how modern technologies offer new opportunities for Education system effectiveness, better learning outcomes, and personalization of lea

2.3 Cloud service models Public Cloud Services can be divided into three different service models; IaaS, SaaS, and PaaS. Infrastructure as a Service (IaaS) - In IaaS, the application virtual machines (VMs) are simply moved from on-premises to the cloud. This is the easiest migration strategy and has many benefits and cost savings. But

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Immersive Experiences in Education

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