<?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/5492c4494204449ea554d8a9f472e1f1&quot; frameborder=&quot;0&quot; width=&quot;1712&quot; height=&quot;1284&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1284</height><width>1712</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1284</thumbnail_height><thumbnail_width>1712</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/5492c4494204449ea554d8a9f472e1f1-ccf49267221fb345.gif</thumbnail_url><duration>269.133333</duration><title>Understanding Activity Analytics for Classroom Engagement</title><description>In this video, I walk you through the activity analytics for our literary devices in quotes analysis activity in Mislulus Section B group. I cover three main sections: activity analysis, needs attention, and individual sessions, highlighting how we can identify strengths and areas for improvement based on student submissions. You&apos;ll see how to access individual responses linked to class performance and how to generate follow-up activities for students needing more practice, particularly with metaphors and similes. I also explain the real-time alerts for students needing attention, like Jacob, who needed support during his session. Please take a moment to explore these features and consider how they can enhance our teaching approach.</description></oembed>