Generative communication in Linda
ACM Transactions on Programming Languages and Systems (TOPLAS)
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Ontology-supported scaffolding of concept maps
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
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In this paper we present an agent-based architecture to monitor and analyse students' behaviour while working with a simulation tool. This architecture is based on the blackboard principle and implemented using a Tuple-Spaces approach. The agents are divided into several groups according to their tasks to maximise autonomy and reusability. This separation was done with the idea of perceive-react-cycles in mind. An implemented example scenario that demonstrates how agents interact in generating meaningful context-aware student feedback is described. The visualisation of the agents' analysis results facilitates a deeper understanding of the learners' activities.