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      <title>Discussion 3: Learning Analytics by Yuka Frunzi</title>
      <link>https://padlet.com/yfrunzi/b5r56hpsorgdpro1</link>
      <description>EIST6120 Current Trends in LDT</description>
      <language>en-us</language>
      <pubDate>2021-05-30 18:21:24 UTC</pubDate>
      <lastBuildDate>2026-01-14 14:20:08 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>What are the advantages of using learning analytics?</title>
         <author>yfrunzi</author>
         <link>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573496338</link>
         <description><![CDATA[<ul><li>It can provide educators with insight on student learning behavior. Examples such as the number of times and/or length of time a student spends on a site, can indicate inattention, or lack of understanding of material.</li><li>Data collected can be used to assess academic progress in real-time. It can provide educators a snapshot of what students are struggling on, whether as a class or individually. Educators can then intervene at the appropriate time with additional support that can be customized and tailored to that student's level.</li><li>It can be used to predict student performance. It can potentially identify students who are at risk of failing or dropping out. By analyzing data such as discussion post messages, quality and/or quantity of assignments completed, educators can also provide the needed support to achieve success.</li><li>Data gathered can also be used to inform educators with how well a curriculum or program is working. It can also help with decision-making of allocating funds and resources to particular organizations or departments.</li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2021-05-31 12:25:58 UTC</pubDate>
         <guid>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573496338</guid>
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         <title>How do you see yourself personally using learning analytics?</title>
         <author>yfrunzi</author>
         <link>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573498326</link>
         <description><![CDATA[<ul><li>As our district uses Canvas, I found that the Canvas Quiz Statistics to be highly beneficial. It gives a histogram of how well my students did on a quiz, either by sections or as the entire course. As I teach 7th grade math, if all my students did poorly on a particular question, it would indicate to me that my method of delivery was poor, and I would need to revisit the concept using a different approach the next day. When a student selects incorrect multiple choice answers, I look for similar patterns within the quiz to see if it's just a one-off, if it was guessed, or if it's a concept that student did not understand. I can then focus on this concept one-on-one, or if needed, as a small group setting. I also use Canvas to determine how frequent a student accesses the site, as well as how long he/she spends on a particular page in the site.</li><li>I also use state assessments such as NC Check-Ins (mini End-of-Grade or EOGs, but&nbsp; given three times throughout the year) to give me an indication of where my students are at on their learning path. It gives me a snapshot of how each student did on the tested standard, compared with others in the class, the school and the state average.</li></ul><div>Though the EOG assesses student learning and determines how well he/she understands the grade level content, I use this data to reflect on how effective my teaching was, and what I should keep, tweak, change or modify my teaching the curriculum for next year.</div>]]></description>
         <enclosure url="" />
         <pubDate>2021-05-31 12:27:13 UTC</pubDate>
         <guid>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573498326</guid>
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         <title>References</title>
         <author>yfrunzi</author>
         <link>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573534697</link>
         <description><![CDATA[<div>Barneveld, A., Arnold, K., &amp; Campbell, J. (2012). Analytics in higher education: Establishing a common language. <em>Educause Learning Initiative.</em> Retrieved from <a href="https://library.educause.edu/resources/2012/1/analytics-in-higher-education-establishing-a-common-language">https://library.educause.edu/resources/2012/1/analytics-in-higher-education-establishing-a-common-language</a><br>Long, P., &amp; Siemens, G. (2011). Penetrating the fog: Analytics in learning and education. <em>Educause Review</em>. Retrieved from <a href="https://er.educause.edu/articles/2011/9/penetrating-the-fog-analytics-in-learning-and-education">https://er.educause.edu/articles/2011/9/penetrating-the-fog-analytics-in-learning-and-education</a><br>Open Colleges (2012). <em>Learning analytics 101: Leveraging educational data</em> [Infographic.] <a href="https://infographiclist.files.wordpress.com/2013/02/learning-analytics_50b6a67cbc24b.jpg">https://infographiclist.files.wordpress.com/2013/02/learning-analytics_50b6a67cbc24b.jpg</a></div>]]></description>
         <enclosure url="" />
         <pubDate>2021-05-31 12:48:30 UTC</pubDate>
         <guid>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573534697</guid>
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      <item>
         <title>&quot;Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs&quot; (Long &amp; Siemens, 2011, as cited 1st International Conference on Learning Analytics and Knowledge, 2011, p. 34).</title>
         <author>yfrunzi</author>
         <link>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573678484</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2021-05-31 13:57:53 UTC</pubDate>
         <guid>https://padlet.com/yfrunzi/b5r56hpsorgdpro1/wish/1573678484</guid>
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