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Autonomous Software Agents
We are interested in developing Autonomous Software Agents for eLearning platforms that would be capable of interacting within virtual learning platforms and undertake the roles of all human players: learners, instructors, content authors, administrators and evaluators. Such development will have to heavily rely on unifying conceptual grounds that will consist of a universal abstraction of learning processes that we conceive as necessary condition for turning learning environments into machine-readable environments. Such a conceptual framework will have to be based on standardized taxonomy of learning-process elements (e.g., session, exercise, assessment, collaborative learning events, grasping of content, examples vs. principles, etc.), and would probably take IMS-design standard as its departure point. From the end-user point of view, the Agents will have a key role in upgrading the usage experience from mere learning/teaching into a reflective experience that serves as means for accomplishing self-development and personal and communal empowerment. The Agents will capture user-generated events and will reflect them to the users as triggers for reflection, and hence for change of usage patterns and enhancement of customization and personalization options. Initial design of prototypical agents has been done during EDCOMNET FP5 project in collaboration with the Center for Advanced Learning Technologies in INSEAD (France).
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