Session Title: Content, Content Everywhere? What video? Where?: Improving the Discoverability of OER Video and Audio Lectures
Presenter: Brandon Muramatsu, Senio IT Consultant, MIT
Time & Date: 2:30 P.M. - 3:15 P.M., Wednesday, August 12, 2009
Location: Rm. C100
Session Description: The open educational resources movement is characterized by a vast amount of textual content (in PDFs, web pages, wikis, etc.) and a growing collection of video and audio lectures. As the collection of OER resources grows, learners and teachers are challenged to find the resources they need, at the granularity levels that are useful to them. Learners and teachers can easily locate the large text-based collections such as Wikipedia or OpenCourseWares. It’s also relatively easy to find specific one or two sentences of text in most OERs. However, it’s much more challenging to find the equivalent specific video segment out of an hour-long online video lecture. Video and audio is currently searchable based on the textual metadata cataloged with the resource. This data is usually limited to a title and description, and perhaps a few tags or subjects. Are there tools and technologies that the OER community can use to improve the discoverability of video, and more specifically to find individual video segments?
The MIT Office of Educational Innovation and Technology is developing a service that enables the automatic creation of text transcripts from video and audio lectures. Our primary goal is to improve the search and discovery of granular content inside web-based lecture videos with corresponding time-coded text transcripts, such as the hundreds of hours of video available from MIT OCW. Secondarily we believe that through automated lecture transcription we can enable a number of other useful services for OERs such as translation and closed caption tracks for video/audio.
The tools and techniques are based on previous research at MIT in the iCampus-funded Spoken Lecture Project. Our goal is to transform this research project into a campuswide service at MIT, and make the tools available to OER community worldwide. This session will demo the existing technologies, progress to date and include a roundtable discussion of needs and requirements for a community-supported service.
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