QUALITY ASSESSMENT OF INTELLIGENT E-LEARNING SYSTEMS

Future education and specifically higher and continuous education goes, no doubt, through e-learning and related practices. But ordinary e-learning is not the best method to take advantage of the computer for educational purposes. With the arrival of Distributed Artificial Intelligence, e-learning systems have increased quite a bit their capability and functionality by incorporating several techniques becoming intelligent e-learning systems. The paper, first of all, analyses the functionality of intelligent e-learning systems and the Artificial Intelligence techniques included from the user's point of view, to set up possible standards and their limitations, taking into account the different ways of analysing and designing intelligent e-learning systems. The paper also explores the few partial attempts so far done to assess the quality of those systems their pros and cons. One of the important contributions of the paper is the development of a quality assessment methodology, which is finally applied to the quality assessment of an intelligent e-learning system, already developed, to show practically how the concepts introduced in the methodology and methods of measurement are applied in a practical way.