Advanced modelling of TUTOR intelligent systems for distance learning applications
In this paper we are presenting a model for an adaptive multi-agent system ACTIVITIES system-for dynamic routing of the learning activities' tasks of a learning environment, based on the adaptive wasp colonies behaviour. The presented model allows the assignment of activities taking into account the qualifications of students, their experience and the complexity of tasks already performed. The system is changing dynamically, because both the type of activities and the students involved in the system change. The ACTIVITIES system is part of the TUTOR subsystem of the DANTE project - Socio-Cultural Models implemented through multi-agent architecture,for e-learning. DANTE has as main objective the development of a model for the virtual education system, student centred, that facilitates the learning through collaboration as a form of social interaction.
multi-agent system e-learning wasp models tutor system task allocation