This is one of those papers that leaves you scratching your head. There's something there worth considering but the paper is long on describing the technology and short on explaining what the technology does. But I think I get it. The idea here is to propose what is called "inner metadata" to define what may be called "open learning objects". The purpose of inner metadata is to describe the learning object's adaptive properties, such as language or learning style. These adaptive features interact with a (constantly evolving) description of the learner to produce the final product. I am sympathetic with the objective of this paper but think that the idea of adaptive learning objects may leave developers tearing out their hair. Do we need this? Can we make it simpler?
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