an infrastructure for creating graphical indicators of the learner profile by mashing up different sources
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to enable some functionalities, to the gathering of user behaviors, collected as log files generated by software applications. In the field of Technology Enhanced Learning the creation of a user profile is necessary in order to fulfill some didactical tasks, such as measuring the degree of participation to a course, or the performance on quizzes and assignments. The task of collecting students' data is normally performed by Learning Management Systems, which also provide with a way to explore this data. Our approach extends the information that models user profiles in Learning Management Systems with data coming from other online resources, such as social network websites. In this paper, we describe our idea of opening the learners' profile, eventually for integrating it with external on-line resources. The ultimate goal of our work is to create graphical indicators for the profile of the learners that take into account internal and external user data, in order to have a more complete and comprehensive view of user behaviors in Learning Management Systems.
life long learning open learner models mashup