Proposition and Organization of an Adaptive Learning Domain based on Fusion from the Web

The Web allows self-navigated education through interaction with large amounts of Web resources. While enjoying the flexibility of Web tools, authors may suffer from research and filtering Web resources, when they face various resources formats and complex structures. An adaptation of extracted Web resources must be assured by authors, to give reliability, satisfaction of learners and content quality of E-learning platform. This study has proposed Fusion of Web resources approach to this problem and organized resources to an Adaptive Learning Domain into E-learning platform. The focus was firstly, on searching tools and filtering methods to extract the most relevant educational Web resources and structuring them to create courses, secondly, on adaptation of extracted Web resources. Our approach explores a new process of fusion in creation and in adaptation to learner’s profiles. That approach doesn’t need much time and many efforts which can be taken and done by authors to create courses. It also finds direct way to Web resources which are needed, and the update of courses that can be done directly from the Web with the reuse of extracted resources. The evaluation of this work has given high performance in comparison with different methods of course's creation.