Adaptive E-learning Content Design and Delivery Based on Learning Styles and Knowledge Level

ACM Computing Classification System (1998): K.3.1, K.3.2.

The possibility of adaptive learning content delivery in e-learning systems is one of the important factors for highly improving their quality. Therefore, the application field of adaptive e-learning is relevant and significant. This article presents the main results of a PhD thesis examining various aspects of this area. The aim of the dissertation is to propose a model and a platform architecture of an adaptive e-learning system and a corresponding prototype to be designed, implemented and tested in experimental conditions. On one hand, the developed prototype will assist a learner in accessing and using learning resources which are adapted according to his/her personal characteristics (in this case his/her learning style and level of knowledge). On the other hand, it will facilitate the author of the learning content and course instructor in the creation of appropriate learning objects and applying them to the suitable pedagogical strategies.

The work reported in this paper is supported by the ADOPTA project funded by the Bulgarian National Science Fund under agreement no. D002/155.