17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions for: storing data in a learning graph, the learning graph comprising nodes and edges, wherein a plurality of content nodes represent learning content and a plurality of person nodes represent individuals and wherein edges between nodes comprise association types defining particular relationships between particular nodes, wherein a first edge between a particular content node and a particular person node establishes a first association type, the first edge indicating that learning content corresponding to the particular content node has been consumed by an individual corresponding to the particular person node; adaptively deriving, from the learning graph, a customized learning path for the particular person node, the customized learning path specifying a plurality of content nodes in the learning graph; and associating the customized learning path with the particular person node to specify content to be consumed by particular individuals corresponding to the particular person node.
17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions for: storing data in a learning graph, the learning graph comprising nodes and edges, wherein a plurality of content nodes represent learning content and a plurality of person nodes represent individuals and wherein edges between nodes comprise association types defining particular relationships between particular nodes, wherein a first edge between a particular content node and a particular person node establishes a first association type, the first edge indicating that learning content corresponding to the particular content node has been consumed by an individual corresponding to the particular person node; adaptively deriving, from the learning graph, a customized learning path for the particular person node, the customized learning path specifying a plurality of content nodes in the learning graph; and associating the customized learning path with the particular person node to specify content to be consumed by particular individuals corresponding to the particular person node. 19. The non-transitory computer readable storage medium of claim 17 wherein said adaptively deriving, from the learning graph, the customized learning path for the particular person node comprises: traversing the learning graph from a particular one of the one or more person nodes to a learning goal node, the learning goal node specifying information to be learned; traversing the learning graph to find a plurality of relevant content to the learning goal based on one or more predefined content identification strategy algorithms; and compiling the relevant content into said customized learning path.