<?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/8d86a738638a432db400adc1f5483b80&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/8d86a738638a432db400adc1f5483b80-121605b3e0cc3dfd.gif</thumbnail_url><duration>88.242</duration><title>Transforming Seesaw Activities into Reading Fluency Assessments </title><description>In this video, I wanted to share how we can transform an existing activity into a reading fluency assessment using AI. I demonstrated the process of copying a reading comprehension passage and integrating it into our toolkit as a reading fluency question type. Unfortunately, the current AI generator doesn&apos;t support creating passages from images or PDFs yet. I recommend following this method for the best results. Please let me know if you have any questions or need further assistance with this process.</description></oembed>