Feathercap Blog

Automated AI curation in practice

Jul 6, 2018 1:26:03 PM / by The Feathercap staff posted in AI, Blog, NLP, AI curation, NLU, AI content curation, automated content curation



In our previous post, “4 reasons why learning content authoring tools must become as easy to use as publishing to Youtube” we talked about how learning authoring tool companies like Articulate and Adobe amongst others have made it easy to turn existing MS PowerPoints and other assets into learning content. This of course is not new. The idea of taking all manner of video, text, images and assessments combined with a logical path for a learning audience to follow has been with us since the late 90’s. It’s not fair to compare today’s authoring approaches and tools with those of the past as they really are easy enough for most any novice to get started. But to produce a really good learning experience we would argue the vast majority assume some expertise is required. How many authoring tool vendors have user groups, elaborate help guides, templates for sale, and “experts” for hire to assist you to build or assist in creating learning content for your organization? How much do they cost? They are priced to be creative tools for experts. We can now say this has changed with our own latest release of Feathercap; our authoring and learning sharing system. In our newest release of Feathercap you can now select a PDF, MS PowerPoint, xAPI course or most any document and video to instantly turn into trackable learning content. Like Youtube, press a button and pull one or many files at once from your desktop or Dropbox (Box, Sharepoint/ OneDrive and G drive support coming soon) then upload to Feathercap. That’s it. An image from the first page is even automatically grabbed as a thumbnail for your audience. Everything you select is now trackable, responsive web based courses available on any device. You can even synch and update an entire Dropbox directory of content and have it all automatically turned to Feathercap/ xAPI courses at once.

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