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Overview
YuJa Panorama’s Caption Detection feature ensures that all video content used in courses is accessible to students with hearing impairments or those who benefit from subtitles. This feature automatically scans embedded videos for existing captions and prompts faculty to add captions if they are missing. By using Panorama’s Caption Detection, faculty can proactively address accessibility issues in their course videos, whether they are original lectures, YouTube links, or third-party content.
Key Details
Caption Detection provides an automated way to verify and add captions to course videos. Some key details include:
• Automated Caption Scanning: Scans videos for existing captions, including embedded YouTube or external videos.
• Prompts for Missing Captions: Alerts faculty when videos lack captions, providing options to add or update them.
• Seamless Canvas Integration: Works directly within Canvas, allowing faculty to verify and manage video captions without switching platforms.
• Flexible Caption Management: Offers captioning options for different video sources, from lecture recordings to linked YouTube content.
*Note* At this time, Panorama does not check for captions in Panopto videos. Panopto is configured at St. Thomas to automatically create and apply machine-generated captions for every video uploaded to Panopto.
Use Cases for Caption Detection
Ensuring Compliance with Video Accessibility Standards
Faculty can use the Caption Detection feature to verify that their course videos meet WCAG 2.1 accessibility guidelines. The automated prompts make it easy to identify videos missing captions, ensuring that students with hearing impairments can fully engage with the course content.
Improving Comprehension for Multilingual Students
Adding captions to course videos benefits not only students with hearing impairments but also multilingual students. Captions help reinforce the spoken content, improving comprehension for those who may struggle with understanding rapid speech or unfamiliar accents.
Enhancing Engagement with YouTube or External Videos
When embedding YouTube or other external videos, faculty can rely on the Caption Detection feature to verify caption availability. If captions are missing, the tool prompts faculty to choose an alternative video or to add captions manually, ensuring the content remains accessible.
Supporting Students in Noisy or Quiet Environments
Students may access course videos in various environments, from quiet libraries to noisy coffee shops. By ensuring that all videos have captions, faculty provide a flexible option for students who need to watch videos without sound or struggle to hear the audio clearly.
Encouraging Active Learning through Transcript-Based Reviews
Faculty can encourage active learning by providing video transcripts alongside captions. This enables students to review key concepts, search for specific sections, and reinforce their learning through text-based reviews. Caption Detection ensures that accurate transcripts are readily available for all course videos.