On agent-based software engineering
Artificial Intelligence
MAGADI: a Blended-Learning Framework for Overall Learning
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
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This paper is centred on the issue of adaptivity in the context of distributed learning systems. It presents an approach to improve the adaptivity aspect through a multi-session learning process. It is based on the concept of dynamic generation of the tutoring knowledge according to the changing characteristic emerging for each session. This approach has produced the MAGADI platform. It is inspired in the structure of IRIS[2] and the architecture of the generated tutors (INTZIRI) has evolved to a distributed multi-agent system. Here its architectural development and authoring aspects are described.