A Community Information System for Ubiquitous Informal Learning Support

Abstract

There are many mobile apps supporting informal learning tasks like sense-making out of multimedia materials. However, regardless how well these have been implemented, their scope and scalability is limited either by over-specialization and consequently limited transferability or by over-generalization - with a lack of informal learning support for most Web 2.0 apps. Our cloud-based mobile Web information system approach is theoretically founded and designed for scalability in informal learning. As a proof of concept we present a semantic video annotation scenario for supporting informal learning at workplace. As the approach has been designed for community learning analytics, we can present results from a preliminary evaluation. We conducted our research with a strong commitment towards open source software development, so that our solutions are already available and can have impact beyond the usual scope of a funded project.