Finding Useful Online Video is About to Get Easier
By JISC Digital Media on Tuesday 06 September 2011 Tweet this!
Recent research shows that finding good quality, usable content is a major problem for educators2, 3, and that the "huge mass of vaguely related video"4 that results from a typical search normally involves a large amount of time wasted in sorting the good from the bad. That's why JISC Digital Media are developing a new web site (we're calling it 'EdMediaShare') that aims to take the time and stress out of sorting and finding really useful video.
The key aspects of EdMediaShare are:
- it collects and presents recommendations of videos that are actually being used by educators to support learning,
- it allows searching by discipline and learning design (based on the Dial-e Framework5), and
- it includes information on how videos are actually used.
We believe this combination of recommendation and pedagogic information will make finding relevant videos significantly easier than at present.
We're currently gathering recommendations for the launch of EdMediaShare on 3 October. If you would like to contribute recommendations for online videos you use to support your teaching, learning and research please watch the introductory video and complete the online form. The videos you recommend don't have to be owned by you or your institution, but we're specifically looking for open video (e.g. where the owner encourages the free distribution of links to their work), not federated or restricted content (e.g. videos which have limited access conditions attached to them).
If you want to find out more about the EdMediaShare project please email: email@example.com.
Related JISC Digital Media resources:
Recommend online videos you use to support your teaching using the online form.
Related JISC Digital Media Training
Managing Digital Media Collections, Tuesday 18 October 2011.
1. YouTube, LLC (2011). Thanks, YouTube community, for two BIG gifts on our sixth birthday! In YouTube Inc. Broadcasting Ourselves, The Official YouTube Blog. [Online] Available at: http://youtube-global.blogspot.com/2011/05/thanks-youtube-community-for-two-big.html. [Accessed 5 September 2011].
2. Chiluka, N., Andrade, N., and Pouwelse, J. (2011) A Link Prediction Approach to Recommendations in Large-Scale User-Generated Content Systems. In Advances in Information Retrieval Lecture Notes in Computer Science, 2011, 6611/2011, pp189-200 [Online] Available at: https://springerlink3.metapress.com/content/mv6l2427624k5183/resource-secured/?target=fulltext.pdf&sid=ohil34yqtur3efsja3sbx0pa&sh=www.springerlink.com [Accessed: 5 September 2011].
3. Cha, M., Kwak, H., Rodriguez, P,, Ahn, Y. and Moon, S. (2009). Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems. In IEEE/ACM Transactions on Networking, 17:5, p 1357-1370. [Online] Available at: http://portal.acm.org/citation.cfm?id=1665838.1665839. [Accessed 10 August 2010].
4. Burden, K., and Atkinson, S. (2008). Beyond Content: Developing Transferable Learning Designs with Digital Video Archives. University of Hull, UK. [Online] Available at: http://www.sijen.com/reproduce/resource/beyond_content.pdf [Accessed 5 September 2011].
5. Atkinson, S. (2009). What is the DiAL-e? What is the DiAl-e Framework? [Online] Available at: http://www.dial-e.net/ [Accessed 5 September 2011].
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