Aggregate

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:

• frontend user-system interaction interface, the Mastery Grids Interface,

• backend Aggregate services communicating between the main interface and user modeling services,

• backend user modeling services, and

• backend content providing applications.

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