PERSONALIZING ACCESS TO E-LEARNING CONTENT BASED ON THEIR PREFERENCES

In the last decade terms such as e-learning or lifelong learning have emerged introducing new concepts of learning, which demand new contents and tools. Access to e-learning contents creates many challenges, overall when the system has to provide personalized contents to each user. Recent studies show that navigation styles can content much of the information related to cognitive learning styles and preferences. in thi swork, Personalizing Access to e-learning contents is used to suggest routes to users based on their preferences. After designing the domain model where a hierarchy of learning goals is set, the current knowledge of the user is calculated respect to the goals and user’s cognitive characteristics and preferences set. Once the media space is defined, the adaptation model is defined and selection rules used for concept selection from the domain model.