Although most online learning environments are predominately text based, researchers have argued that representational support for the conceptual structure of a problem would address problems of coherence and convergence that have been shown to be associated with threaded discussions and more effectively support collaborative knowledge construction. The study described in this paper sets out to...

A characteristic feature of physics knowledge is the high degree of coherence and connectedness of its concepts. To large degree physics concepts and laws can be viewed as organized, network-like structures. Consequently, learning can also be seen as the working with and the building of the conceptual networks. It is argued here that a useful viewpoint on learning physics conceptual structure c...

This chapter reviews some exciting new techniques for analyzing brain imaging data. We describe computer algorithms that can discover patterns of brain structure and function associated with Alzheimer’s disease, schizophrenia, and normal and abnormal brain development, based on imaging data collected in large human populations. Extraordinary patterns can be discovered with these techniques: dyn...

The paper is concerned with computer-based support for conceptual design and, in particular, with the support of creative design. The nature of conceptual design is briefly reviewed and the lack of effective computer support noted. Recent developments in computer-based Knowledge Support Systems, that offer interesting possibilities, are reviewed. The study of the early design of a clearly innov...

We propose the first routing engine for computing driving directions in large-scale road networks that satisfies all requirements of a real-world production system. It supports arbitrary metrics (cost functions) and turn costs, enables real-time queries, and can incorporate a new metric in less than a second, which is fast enough to support real-time traffic updates and personalized cost functi...