Context-Aware Recommender Systems for Learning: A Survey and Future Challenges <s> A CONTEXT FRAMEWORK FOR TEL <s> The complex usage of mobile devices coupled with their limited resources in terms of display and processing suggests that being able to understand the context of the user would be beneficial. In this paper we present a model that describes context as a dynamic process with historic dependencies. We also describe software architecture to support this model, and evaluate its effectiveness in a mobile learning scenario. Preliminary results from our evaluation suggest important issues for consideration in the continuing development of context aware systems and interfaces, including the need for appropriate representation of contextual data to the user, and maintaining a balance between effective support and intrusion. <s> BIB001 </s> Context-Aware Recommender Systems for Learning: A Survey and Future Challenges <s> A CONTEXT FRAMEWORK FOR TEL <s> Current e-learning systems fail to take into account the situation of the learner appropriately although there is a big potential for improving those systems. This paper tries to summarize the potentials and highlight the key challenges of context-aware learning systems. It also presents some steps towards mastering the challenges. <s> BIB002
The need to define and model context more precisely and in a consistent way has been identified by several researchers BIB001 , BIB002 . A precise definition and model of context can facilitate the identification of what does and does not constitute context and can enable reuse and exchange of contextual data across applications. To this extent, we introduce a simple classification of context information that is relevant to context-aware applications in TEL. This classification was constructed by the analysis and integration of existing context definitions. The categories and their context elements are detailed in this section. The classification is by no means exhaustive, but attempts to define context elements in a precise way. We also identify relevant standards and specifications that can be used to represent data elements within these categories in a uniform way. The classification is used in the remainder of this paper to drive the analysis of contextaware recommender systems for TEL.