{"id":50988,"date":"2015-06-30T16:46:26","date_gmt":"2015-06-30T20:46:26","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=50988"},"modified":"2015-06-30T17:07:03","modified_gmt":"2015-06-30T21:07:03","slug":"a-piece-of-our-future-learning-ecosystems-personalized-learning-playlists-available-via-your-smart-tv-or-your-mobile-devices","status":"publish","type":"post","link":"https:\/\/danielschristian.com\/learning-ecosystems\/2015\/06\/30\/a-piece-of-our-future-learning-ecosystems-personalized-learning-playlists-available-via-your-smart-tv-or-your-mobile-devices\/","title":{"rendered":"A piece of our future learning ecosystems? Personalized learning playlists available via your Smart TV &\/or your mobile devices"},"content":{"rendered":"

IRIS.TV Finds Adaptive Video Personalization Increases Consumption by 50%<\/a> <\/strong>— from appmarket.tv by Richard Kastelein<\/p>\n

Excerpt (emphasis DSC):<\/span><\/em><\/p>\n

IRIS.TV, the leading in-player video recommendation engine<\/span><\/strong>, reports that its programmatic video delivery technology, Adaptive StreamTM, has increased video consumption by 50% across all its clients. The results of these findings just further solidifies that consumption of online video is significantly enhanced by a personalized user experience.<\/p>\n

By integrating Adaptive StreamTM in their video players and mobile apps,\u00a0IRIS.TV<\/a>\u2019s clients are able to deliver the most relevant streams of video to their viewers, just like TV. Yet unlike TV, viewers\u2019 feedback is captured in real-time through interactive buttons, allowing the stream to dynamically adapt to the changing preferences.<\/span><\/p>\n

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\"IRIS-dot-TV-Julne2015\"<\/a><\/p>\n

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Press Release: IRIS.TV Launches Personalized End-screen for Online Video with Kaltura<\/strong><\/a> — from iris.tv
\nIRIS.TV Partners with Kaltura to offer programmatic content delivery and in-player thumbnail recommendations<\/em><\/p>\n

Excerpt:<\/p>\n

Los Angeles, May 4, 2015 \u2013 IRIS.TV the leading programmatic content delivery system, today announced a new dynamic, personalized end-screen plugin for Kaltura, provider of the leading video technology platform.<\/p>\n

IRIS.TV\u2019s new plugin for Kaltura will offer clients of both a personalized and dynamic stream of video along with a personalized end-screen framework. Publishers can now provide users with both dynamic streams of video<\/span> \u2013 powered by consumption and interaction \u2013 along with thumbnail choices specific to their real-time consumption habits. This new integration supplies publishers with additional tools to deliver a more personalized viewing experience<\/span> in order to maximize viewer retention and video views. The partnership is aimed to help consumers discover relevant and engaging content while viewing across all connected devices.<\/span><\/p>\n

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From DSC:<\/span><\/em>
\nNow imagine these same concepts of providing recommendation engines and personalized\/dynamic\/interactive streams of content, but this time apply those same concepts to delivering personalized, digital learning playlists on topics that you want to learn about. <\/strong>With the pace of change and a shrinking 1\/2 life for many pieces of information, this could be a powerful way to keep abreast of any given topic. Team these concepts up with the idea of learning hubs — whereby some of the content is delivered electronically and some of the content is discussed\/debated in a face-to-face manner — and you have some powerful, up-to-date opportunities for lifelong learning. Web-based learner profiles and services like Stack Up<\/a> could continually populate one’s resume and list of skills — available to whomever you choose to make it available to.
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\"The<\/a><\/p>\n

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\"StreamsOfContent-DSC\"<\/a><\/p>\n

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Along these lines, also see:<\/em><\/span><\/p>\n