Learning Attributes

In my Post “When Hunches Collide” I talked about Pandora, the free Internet radio station.  I posed the question, what if learning happened more like Pandora, more customized, individualized?  I started digging deeper into Pandora which is based on the Music Genome project.  The Music Genome Project is an effort to “capture the essence of music at the fundamental level”.  It uses almost 400 attributes to describe songs and a complex mathematical algorithm to organize them.  Each song is represented by a vector ( a list of attributes) containing approximately 400 “genes”.  Each gene corresponds to a characteristic of the music.

This had me thinking, would it be possible to capture the essence of learning at the fundamental level?  Is learning too complex?  I want to ask for your input on this, if we were to come up with attributes to learning what would they be?  I have created a Google form to capture your input. The Google form only contains one place to input an answer but if you have more than one idea you can add them all to the text filed.   I’ll collect everyone’s answers and post the results here.  In the comment section of this post, you can give a guesstimate of how many attributes learning has…or at least how many we can come up with 😉
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