Abstract: “Human-computer interaction requires a software user interface to facilitate the communication to the user. The user interface plays a significant role in the user acceptance of software systems design. In Webbased e-learning systems, the need for adaptive personalization is increased because it is of particular importance in Web-based data accessing, providing relevant information and e-lectures effectively, and improving user performance and satisfaction. In this paper, we propose a framework for adaptive visualization for the interface of Web-based e-learning system. The important characteristics; that consist of user's preferences, background knowledge levels, needs, cognitive abilities, interface layout diversity, and interface structure are identified. These characteristics have a significant impact on the model to make the interface flexible, consistent, less complex, and more practical. The design is based on using weighting probabilistic scheme and artificial intelligence reaso”

Keywords: Adaptive Visualization, Adaptive User Interface, Adaptive Intelligent Learning, Personalization, Usability, Adaptive Knowledge-Based Visualization, Similarity- Based Visualization