Information Technology Services department at UIS provides a lecture capture system to be used on or off campus allowing you to record whatever is displayed on the computer screen along with your audio and video.
Kaltura Personal Capture
Kaltura Personal Capture is a program that makes it easy for users to create and upload videos to Kaltura through our Learning Management System [Canvas] or through UIS MediaSpace, available for Windows or Mac. Recorded videos can be a combination of webcams and/or screen recordings.
Videos that are recorded using the Kaltura Personal Capture are available in My Media through our Learning Management System [Canvas] upon uploading. The videos may not be ready immediately after upload, but they will be quickly. If you need to clip or trim your video you can do that through My Media by selecting the video you want to edit and choose the Edit Video option to the right of the video.
- Kaltura Personal Capture Directions [PDF]
- Editing Videos in My Media [PDF]
- Getting the Share Link for your Video [Video]
- Requesting and Editing Captions [KB Article]
- Kaltura Resources for Students [KB Article]
- Kaltura Video Quizzing [KB Article]
- Locating CaptureSpace Recordings for Manual Upload [PDF]
What is Kaltura?
Kaltura is a media management tool that allows us to better manage and deploy media in websites, through mobile devices, in Canvas, and more.
Kaltura integrates with the tools we already use for media, including Canvas, WordPress, and Kaltura Capture, improving the ease with which we make videos and other rich-media content available and accessible across all platforms and devices. Faculty, staff, and students can now easily record, upload, and share videos. Skype for Business recordings can also be uploaded to Kaltura for easy sharing.
For more information regarding which files to upload to Kaltura, please visit our Storing Files at UIS webpage.
Additionally, Kaltura provides a wide variety of analytics and statistics – including, but not limited to, the number of times a video has been viewed, what devices/platforms/browsers were used to view the video, the drop-off point (how many viewers watched 25%, 50%, 75%, 100% of a particular video, the average length of time users spent viewing a video, and much more.