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The objective of this paper is to introduce a standards-based model for adaptive e-learning and to investigate the conditions and tools required by authors to implement this model. Adaptation in the context of e-learning is about creating a learner experience that purposely adjusts to various conditions over a period of time with the intention of increasing(More)
The introduction of elearning often leads to an increase in the time staff spends on tutoring. To alleviate the workload of staff tutors, we developed a model for organizing and supporting learner related interactions in elearning systems. It makes use of the knowledge and experience of peers and builds on the assumption that (lifelong) learners, when(More)
Tutors have only limited time to support the learning process. In this paper we introduce a model that helps to answer the questions of students. It invokes the knowledge and skills of fellow-students, who jointly form an ad hoc, transient community. The paper situates the model within the context of a Learning Network, a self-organized, distributed system,(More)
All authors are with the Educational Technology Expertise Centre (OTEC) of the Open University of the Netherlands. Jan van Bruggen is Educational Technologist and his current interests are computer-supported collaborative learning and application of latent semantic analysis in education (jan.vanbruggen@ou.nl). Peter Sloep is a Senior Educational(More)
To enhance users' social embedding within learning networks, we propose to establish ad hoc transient communities. These communities serve a particular goal, exist for a limited period of time and operate according to specific social exchange policies that foster knowledge sharing. This paper explores the theoretical underpinnings of such communities. To(More)
The following article presents a Mash-up Personal Learning Environment called ReMashed that recommends items from the emerging information of a Learning Network. In ReMashed users can specify certain Web 2.0 services and combine them in a Mash-Up Personal Learning Environment. The users can rate information from an emerging amount of Web 2.0 information of(More)