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 TupleSpaces 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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Weinbrenner, S., Engler, J., Wichmann, A., & Hoppe, U. (2010). Monitoring and analysing students’ systematic behaviour - The SCY pedagogical agent framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6383 LNCS, pp. 602–607). https://doi.org/10.1007/978-3-642-16020-2_61
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