Learning Analytics in Linked Open Online Courses

Learning offerings and learners' activities are increasingly moving to decentralized learning environments in the cloud. The advent of MOOC platforms gives a good example for this ongoing evolution. However, most learning applications use proprietary data models. As learners nowadays not only use only one e-learning offering, the analysis of learner activities is challenging in such decentralized and heterogeneous learning environments. To address this problem, we present three different learning applications and show the potential of exploiting Semantic Web technologies.