Aggregate

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We developed an adaptive social learning architecture Aggregate to support Mastery Grids Interface. This architecture supports several kinds of open student modeling, social comparison, and recommendation. The architecture fulfills a major objective, portability, which is the ability to be integrated to other systems with little set up and modification. The architecture is modular and includes different software components as follows:

  • backend Aggregate services communicating between the main interface and user modeling services [| ==> source code]
  • backend content providing applications

An overall architecture of the system can be sen in the following figure.

Aggregate Architecture