EXTENDING ADAPTATION FRONTIERS FOR LEARNING SETS

摘要

Several models and frameworks have been proposed for adaptive hypermedia systems, but when it comes to the integration with application models these proposals lack expressiveness, blurring combinations of functional components or information categories, sometimes with abstractions layers. This is very clear for educational applications, where matters such as collaboration and cognitive styles are not cleanly integrated to hypermedia modeling issues. The Extended Abstract Categorization Map is being proposed as a comprehensive framework, considering educational applications, where complementary modeling perspectives are adequately separated but still integrated. The resulting separation of concerns yields a clearer understanding of how adaptation issues can be affected by educational goals.