Learner-model approach to multi-agent intelligent distance learning system for program testing

Abstract

A project of an intelligent multi-agent system for distance learning, which is currently being developed in the Institute for High Performance Computing and Databases, is described. The system’s adaptability, i.e.its ability to adjust itself to the personal characteristics and preferences of its user, is based on User Model, which is initiated according to the results of prior user testing and is adjusted dynamically during the user’s session. As an example of an application domain the program testing is chosen - the domain, which is one of the weakest points in the software engineering practice in Russia. The described system is intended for using via Internet by common WWW-browsers.