So, the idea here is that you define a job or employment classification according to the skills it requires, and then relate these skills to the education or training needed to master them, to which you then match learning resources or training opportunities as well as to learning assessment. I'm not going to criticize that approach a priori - I mean, jobs do demand skills (as do other things, like hobbies and democracy and raising children; let's not lose these in the shuffle) and how else are we going to support this need? But are skills definitions and taxonomies the way to go? As I read through this analysis, I see all the same sort of issues arise as we say back in the days of learning object metadata (LOM): governance, competing standards, granularity, crosswalking, implementation. The risk here is in developing a complicated static framework for a domain that is dynamic and complex. Via George Siemens.
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