The management of groups is an essential task in collaborative learning scenarios. In a blended learning situation, in which online activities and face-to-face activities are combined, this group management becomes more complex. Different technological solutions have been proposed for supporting

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The following paper deals with the development of professionalised action in the context of teacher education and training on the basis of a new group formation that we call ‘Professional Community’. This involves the implementation of heterogeneous groups as face-to-face as well as virtual structures with the mission to generate profession related knowledge and skills on a meta-level of communication and interaction. The concept of the ‘Professional Community ’ is supported by an extended empirical study, which puts the theoretical framework into a concrete context, with the purpose of testing its assumed potential.

this paper we introduce a system called Crowds for protecting users' anonymity on the worldwide -web. Crowds, named for the notion of "blending into a crowd", operates by grouping users into a large and geographically diverse group (crowd) that collectively issues requests on behalf

In addressing the growing problem of junk E-mail on the Internet, we examine methods for the automated construction of filters to eliminate such unwanted messages from a user’s mail stream. By casting this problem in a decision theoretic framework, we are able to make use of probabilistic learning

not control. However, there are two scenarios in which we are able to actively select training data. In the first, data measurements are relatively expensive or slow, and we want to know where to look next so as to learn as much as possible. According to Jaynes (1986), Bayesian reasoning was first applied

. This includes a discussion of the scenarios in which queries can be formulated, and an overview of the query strategy frameworks proposed in the literature to date. An analysis of the empirical and theoretical evidence for active learning, a summary of several problem setting variants, and a discussion

. Furthermore, it discusses selected results of an evaluation of blended learning scenarios and models designed within the project. An adapted model for modes of interaction is deployed to develop and analyze these blended learning scenarios. Results indicate that holistic learning strategies are necessary

here. Instead, I discuss the work that I find most interesting, and I offer my views on what we have learned from the research on market efficiency. I. The Theme I take the market efficiency hypothesis to be the simple statement that security prices fully reflect all available information. A

learning with instructional design.