<?xml version="1.0"?>
<rss version="2.0">
   <channel>
      <title>Learning Analytics by Angel Williams</title>
      <link>https://padlet.com/angelwill78/6dzz0e78s1ur</link>
      <description>Benefits and How will I use them......</description>
      <language>en-us</language>
      <pubDate>2017-05-30 13:15:37 UTC</pubDate>
      <lastBuildDate>2017-05-30 13:26:15 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
      </image>
      <item>
         <title>1. What are the advantages of using learning analytics? </title>
         <author>angelwill78</author>
         <link>https://padlet.com/angelwill78/6dzz0e78s1ur/wish/174406000</link>
         <description><![CDATA[<div>Learning analytics is basically the measurement, gathering, and analysis of data concerning student progress and the environment in which learning takes place. The primary focus is on collecting “student data” through the implementation of assessments. Learning Analytics uses various methods including visual data analysis techniques, social network analysis, semantic, and educational data mining including prediction, clustering, relationship mining, discovery with models, and separation of data for human judgment to analyze data. The benefits include targeted course offerings, curriculum development, student learning outcomes, behavior and process, personalized learning, improved instructor performance, post-educational employment opportunities, and enhanced research in the field of education. Learning Analytics focuses on developing and implementing methods with a goal of promoting discoveries from data in educational settings, these methods encourage a better understanding of the educational settings and learners. Through careful analysis of data, researchers can determine useful information that can benefit educational institutions, students, instructors, and researchers in various ways. These stakeholder benefits include targeted course offerings, curriculum development, student learning outcomes and behavior, personalized learning, improved instructor performance, post-educational employment opportunities, and improved research in the field of education.<br><a href="https://olj.onlinelearningconsortium.org/index.php/olj/article/view/790/201">https://olj.onlinelearningconsortium.org/index.php/olj/article/view/790/201</a></div><div><br></div><div><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-30 13:19:57 UTC</pubDate>
         <guid>https://padlet.com/angelwill78/6dzz0e78s1ur/wish/174406000</guid>
      </item>
      <item>
         <title>2. How do you see yourself personally using learning analytics? </title>
         <author>angelwill78</author>
         <link>https://padlet.com/angelwill78/6dzz0e78s1ur/wish/174406248</link>
         <description><![CDATA[<div>Personally in my current role, I see myself using learning analytics to gauge learners understanding and comprehension of the content. Data collected from these samplings would be used to alter objectives and design of the course in order to meet the learner’s needs. I would also use learning analytics to evaluate if a course itself needs to be entirely retired or eliminated, as the content may not be beneficial to the learner or relevant to the industry. In my current role it’s sad to say, but analytics are usually used for compliance reporting to ensure team members have completed required trainings versus using the data to adjust the training to address learner’s needs. Hopefully I will be able to show leaders how learning analytics is a crucial element in the learning and evaluating process. </div><div><br></div><div><br></div><div><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-30 13:20:48 UTC</pubDate>
         <guid>https://padlet.com/angelwill78/6dzz0e78s1ur/wish/174406248</guid>
      </item>
   </channel>
</rss>
