<?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/be44128e857e44a29f06181b0e3cc6ac&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/be44128e857e44a29f06181b0e3cc6ac-a71eb106f6825a9e.gif</thumbnail_url><duration>150.213111</duration><title>Reading Motivation Index - The Teacher Experience</title><description>This Loom explains how to launch and use the Reading Motivation Index (RMI) in Beanstack to understand what drives students to read. The process involves having a librarian or Beanstack admin run a school-wide RMI, then teachers can find class results in the dashboard. Students click Let’s Go on their Beanstack page and answer 20 questions with options ranging from very different from me to a lot like me, with no right or wrong answers. After completion, teachers view data on top motivating factors and get actionable, targeted next steps, with historical insights available in the Reading Motivation tab.</description></oembed>