Romanian Journal of Information Technology and Automatic Control
Art. 05 – Vol. 21 – No. 4 – 2011
Rodica Potolea
Rodica.Potolea@cs.utcluj.ro
Camelia Lemnaru
Camelia.Lemnaru@cs.utcluj.ro
Florin Trif
Trif.Gelu@dppd.utcluj.ro
Technical University of Cluj-Napoca
Abstract: Adaptive e-learning systems represent a new paradigm in modern learning approaches. They are not only targeting curricula segmentation, as providing large quantities of content is not the ultimate goal, but focus on the quality of knowledge transfer. In doing so, the correct identification of the user learning style in order to provide the appropriate content presentation to each individual user is essential. Moreover, a continuous re-evaluation and classification is important to cope with the progress made during the learning process, and to ensure the evolution to a better style. Concept maps represent useful instruments in both developing quality high structured content and automated evaluation. This paper presents a model for an adaptive e-learning system, and details the modules responsible for the user type identification and concept maps.
Keyword: Adaptive e-learning, learning style, concept maps, clustering, self-organizing maps.