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      <title>Learning Analytics by Shannon Woodson</title>
      <link>https://padlet.com/swoodso4/259bsmd1waik</link>
      <description>Discussion 3 for EIST 6120</description>
      <language>en-us</language>
      <pubDate>2017-05-30 02:24:37 UTC</pubDate>
      <lastBuildDate>2017-05-30 21:39:30 UTC</lastBuildDate>
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         <title>Advantages of Learning Analytics</title>
         <author>swoodso4</author>
         <link>https://padlet.com/swoodso4/259bsmd1waik/wish/174506241</link>
         <description><![CDATA[<ul><li><strong>Data driven instruction in the classroom</strong> (Instructors know from the data where students need more help or additional resources)</li></ul><div><br></div><ul><li><strong>Intervention</strong> (The video we were assigned this week spent a lot of time talking about how you know if a student will fail or drop out. The analytics allows one to see common obstacles, challenges, and other issues that students have and begin to develop solutions to these issues.)</li></ul><div><br></div><ul><li><strong>Personalized learning</strong> ( Analytics provide a comprehensive view of the learning environment and makes the analysts more aware of what students need individually rather than a general method of doing things)</li></ul><div><br></div><ul><li><strong>Decision Making </strong>(Institutions have the challenge of working with a budget every year and working with people constantly. The goal usually is to spend the money in a way that benefits the mot people. Analytics allows for those who are in administrative positions to peer into what is going on with the majority of the people they represent. They can look into strengths weaknesses, failed attempts, etc. and determine what is best for the whole.)</li></ul><div><br></div>]]></description>
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         <pubDate>2017-05-30 21:14:57 UTC</pubDate>
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         <title>Personal Use of Learning Analytics</title>
         <author>swoodso4</author>
         <link>https://padlet.com/swoodso4/259bsmd1waik/wish/174508682</link>
         <description><![CDATA[<div>As a current teacher, and hopefully a future technology facilitator, I think that I would mostly use learning analytics to identify difficulties, make data based instructional decisions, and personalize learning. Whether I am working with adolescents or adult learners, people in general get bored and frustrated with the learning process. As an instructor, I want to prevent this as much as possible. Using analytics, I can identify what is frustrating students and possible conduct preventative measures, such as using flipped classroom tools to have additional tutorials on topics that have shown major challenges in the past. Furthermore, the same concept can be applied to personalized learning. If I know that some students move aster than others or have different interests, I can use this data to prepare materials that are going to keep students engaged an give them options. Having multiple ways for people to learn and being prepared for that can begin to change the data when it comes to failures an drop outs.</div>]]></description>
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         <pubDate>2017-05-30 21:32:38 UTC</pubDate>
         <guid>https://padlet.com/swoodso4/259bsmd1waik/wish/174508682</guid>
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