Activities and Trends Analytics in a Widget based PLE using Semantic Technologies
We report about work in progress on tracking the activities and trends of users from logs in a widget based Personal Learning Environment (PLE) using semantic technologies and standards for retrieval. As input for the observations, we are using the data from our self developed PLE with around 4000 active users. Last two years we logged their activities and modeled them with RDF (Resource Description Framework) as base for improvement analysis of existing system. The main objective of this work is to outline how learning environments like PLE can benefit from Semantic Web and its contribution for such efforts like analytics, profiling, recommendations and usability.