e-learning, expert system, learning management system, adaptive learning, language learning.

The paper deals with the area of e-learning education. The research consists in proposing an expert system for decision-making support in defining an ideal learning model, individualised for each student. Thus the system is designed in order to enable the student to pass automatically through the e-learning course while the condition of adapting the content to the student?s learning style is met. Adaptation and automated passing are achieved by dividing the process of studying into four basic processes Process (M1) contains two basic subprocesses dealing with acquiring information about the student: their learning style based on a questionnaire inquiry and their language level based on a didactic test. The decision-making process is also influenced by information of a non defined character (fuzzy), the system then chooses a solution using IF-THEN rules. The adaptive system for decision-making support will enable automated creation of study variants which are suited to individual students? needs.