ABSTRACT
Let us consider a lecturer affiliated with an educational institution that is member of a federated learning system. Suppose the system is able to provide a large number of LOs upon the lecturer request. A lot of time and efforts can be spared if the system can first filter and rank those LOs according to the lecturer's preferences. Another important issue is how to build a course supporting student's individual learning preferences. The system can help both the lecturer and the students by presenting each student with a LO chosen from the related set of selected LOs but tailored according to the student's individual learning styles and preferences.
