A Model of Personalized Collaborative Computer Support Ubiquitous Learning Environment

Searching for knowledge is an essential problem that learners face while learning. In a ubiquitous learning environment, it is difficult for a learner to find the right knowledge in time even if the source of this knowledge is very near to his physical location. Therefore, this paper presents a personalized collaborative ubiquitous learning environment in order to support the learner while doing a task. It allows the learners to share knowledge, interact, collaborate, and exchange individual experiences. This environment is called PERKAM. It utilizes the ubiquitous technologies to recommend the educational materials and the peer helpers according to the learnerpsilas current task and location. This paper focuses on the user model and the recommendation methodology.