Hoarding Content in M-Learning Context

With the advances in mobile technologies it is already possible to support learners and teachers activities on the move. We analyzed the functionalities that should be provided by a general mobile learning platform and identified a problem that is weakly studied by previous research, namely offline usage of learning material (hoarding of content). Hoarding can use some of the techniques that are used by different caching and pre-fetching schemas, but in most cases the goal of the last two is to reduce latency time, bandwidth consumption and/or servers workload, while in hoarding the aim is to improve the accuracy of set selection. Caching and pre-fetching content are problems that are considered widely since the introduction of Internet for mass usage, still hoarding is not so well explored. We want to study the parameters that could help a hoarding algorithm improvement in order to cover the peculiarity in m-learning scenario. Our goal is to provide an efficient strategy, taking into account additional parameters, extracted automatically by the system.