Una arquitectura flexible orientada hacia el agente para análisis de interacción y retroalimentaci ón

An architectural framework for the engineering of distributed learning environments is described, which allows for plugging in intelligent support agents programmed in multiple languages agent. The framework implements a blackboard architecture with a Java-based central Tuple Space server and clients that differ in hardware (PDAs, PCs with projection) and possibly in programming languages (C#, Prolog, Java). On this basis, it is possible to analyze and flexibly support learning activities based on action logs as well as system state information. This framework has been used for supporting group discussions including design meetings with mobile input devices and a large public display. Analytic agents have been implemented in Prolog.

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