Identifining European E-Learner Profile by Means of Data Mining

The urgency of using e-Iearning in higher education is not in doubt at this time. The trend of using e-learning in the current practice of educational institutions and business structures of various levels has become global, due not only to the peculiarities of the development of educational systems in the world, but also to economic factors, which in many cases are the main driver of changes and innovations in the educational sphere. In spite of all the difficulties of deployment, publishing of those systems and troubles of their efficiency maintenance, their usage is spreading in tertiary education as well as in vocational education. In order to gain profits from e-Iearning materials Ukrainian universities search the possibilities to enter European e-Iearning market. For this reason it is vital to understand European e-Iearner, his needs and features. Therefore the European e-Iearner profile identification was performed on the basis of open European statistical datasets by the means of developed data conversion mechanism.