<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/df4942af7bd446b9a234c121d26eda7a&quot; frameborder=&quot;0&quot; width=&quot;1440&quot; height=&quot;1080&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1080</height><width>1440</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1080</thumbnail_height><thumbnail_width>1440</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/df4942af7bd446b9a234c121d26eda7a-00001.gif</thumbnail_url><duration>232.505</duration><title>Building Data in Progress Learning</title><description>In this video, I explain the logic behind the steps in the document called &quot;Building Data in Progress Learning.&quot; I discuss the importance of understanding where the colorful dots come from and how they can be used to create a colorful progress report. I recommend creating an assessment to generate the colorful dots quickly and explain why it is more effective than other methods. I also provide guidance on the number of questions to include in the assessment to ensure a variety of dot colors. No specific action is requested from the viewers.</description></oembed>