Adaptation and Intelligent Retrieval of Learning Content to Enhance On-line Courses

Enhancing on-line courses is one of the most important issues of current e-Learning platforms. These platforms try to upgrade from simple environments where learners can download documents and take tests to complex environments where the learning content is adapted and intelligently retrieved. This paper presents a methodology for achieving such goals in an attempt to enhance on-line courses. The methodology makes intensive use of well structured content, embedded logging mechanism for learner´s performed activities and usage of state-of-the-art algorithms for proper knowledge acquisition.