Aggregate
From PAWS Lab
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 ==> source code
- backend user modeling, personalization (recommendation, navigation support) services
- backend content providing applications
An overall architecture of the system can be sen in the following figure.
