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Troubleshooting in a practice situation requires two types of information, namely for reasoning about the problem-cause and for finding an adequate solution (declarative information) and for manipulating the environment (procedural information). It is hypothesized that presenting this information piece-by-piece during practice (i.e., presentation of(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)
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)
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)
A Learning Network is an ensemble of individual users, institutions and learning resources which are mutually connected through and supported by information and communication technologies. Learning Networks are particularly attractive to self-directed learners, who themselves decide on their learning programme as well as on the timing, pace and place of(More)
Structural features of learning tasks are relevant for problem solving but not salient for novice learners. Feedback in the form of Knowledge of Correct Response (KCR) during practice is expected to help learners recognize the structural features and to profit from learner control over the selection of learning tasks. A 2 x 2 factorial experiment (N = 118)(More)