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      <title>Design Principles for a Student-Centered Higher Education Ecosystem by Jeykid Acosta</title>
      <link>https://padlet.com/jeykid_acosta/14u52n7wjbfo</link>
      <description>Made with a bold sensibility</description>
      <language>en-us</language>
      <pubDate>2018-07-16 01:26:14 UTC</pubDate>
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      <webMaster>hello@padlet.com</webMaster>
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         <title></title>
         <author>jeykid_acosta</author>
         <link>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270271760</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-16 03:38:27 UTC</pubDate>
         <guid>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270271760</guid>
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         <title>&quot;It is impossible to redesign students into a system, but we can re-design a system for students.  This can be the difference between success or failure for our students that need the promise of higher education the most.&quot;</title>
         <author>jeykid_acosta</author>
         <link>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270271853</link>
         <description><![CDATA[<div>Joseph South, Director, Office of Educational technology</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-16 03:38:55 UTC</pubDate>
         <guid>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270271853</guid>
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         <title>Design Principle # 2 </title>
         <author>jeykid_acosta</author>
         <link>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270272119</link>
         <description><![CDATA[<div>"Helps students make wise financial decisions about postsecondary education."<br><br> Predictive analytics is an essential tool at meeting this design principle. Through predictive analytics, students will receive efficient academic advisement that will push them towards graduation.  Through this technology, students will be able to chose courses that will help them meet all academic requirements and not put them in a position where they will end up pushing their graduation by one or two year and at the same time increasing their chances for additional debt.</div>]]></description>
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         <pubDate>2018-07-16 03:43:28 UTC</pubDate>
         <guid>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270272119</guid>
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         <title>Design Principle # 6</title>
         <author>jeykid_acosta</author>
         <link>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270273457</link>
         <description><![CDATA[<div>"Enable advisors to help students progress through changing needs and circumstances."<br><br>Predictive analytics will provide students with access to big data on students have been through similar circumstances.  This will allow advisors to provide information to students that is based on data.  Data driven decision will help alleviate student concerns and in the long run increase retention and graduation rates.</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-16 04:05:27 UTC</pubDate>
         <guid>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270273457</guid>
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         <title>Design Principle # 7</title>
         <author>jeykid_acosta</author>
         <link>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270273870</link>
         <description><![CDATA[<div>"Help institutions identify and provide timely and targeted assistance to students."<br><br>Predictive analytic platforms have features that track student academic progress.  At any point where a student is at risk, the system will create prompts for advisors to follow up and intervene.  This type of "high-touch" approach to advising can make the difference between failure and success.  This type of academic advising is the type of advising first-generation and student that come from low-income backgrounds need the most. </div>]]></description>
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         <pubDate>2018-07-16 04:11:29 UTC</pubDate>
         <guid>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270273870</guid>
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         <title>Introduction</title>
         <author>jeykid_acosta</author>
         <link>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270769694</link>
         <description><![CDATA[<div>&nbsp; For the purpose of this reflection, I applied the design principles to how our predictive analytics system works or should work. I focused on design principles two, six, and seven. While there are other design principles that are fitting with our predictive analytics system I chose these to be the most relevant at the time of the assignment.&nbsp;<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-22 02:01:17 UTC</pubDate>
         <guid>https://padlet.com/jeykid_acosta/14u52n7wjbfo/wish/270769694</guid>
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