<?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/fd9ff0fb2fbf422396dd4a2b54a8c281&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/fd9ff0fb2fbf422396dd4a2b54a8c281-504d5eae3814c57f.gif</thumbnail_url><duration>194.7557</duration><title>Understanding Minimum Score Requirements in Online Courses 📚</title><description>In this video, I walk you through the learner&apos;s experience with the AI fundamentals course, highlighting the minimum score requirement of 95% to pass. I emphasize the importance of informing learners about their performance evaluation to enhance focus and engagement. After completing the course, I demonstrate what happens when a learner scores 63%, which prompts a nurturing message encouraging them to try again. Viewers are invited to either close out or retake the course from the beginning. This overview aims to clarify the pass/fail feature and its impact on learner motivation.</description></oembed>