Context management in multiagent intelligent distance learning systems for definition of trainees' skills

The paper describes an approach to intelligent support of trainees in an intelligent distance learning system. The approach relies upon usage of context for assessment of trainees' skills and upon application of data mining methods to accumulated trainees' contexts for revealing of common difficulties and provision of personalized support for improvement of trainees’ knowledge skill. The approach has been tested via modeling of student agent, interface agent, accumulating agent, and data mining agent.