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This paper proposes a conceptual framework for mobile learning applications that provides systematic support for mobile learning experience design. It is based on a combination of a game metaphor and several studies of mobile learning contexts. An account of the Ambient Wood project is used to explore the relationship between the framework and mobile(More)
TIGGE is a major component of the THORPEX (The Observing System Research and Predictability Experiment) research program, whose aim is to accelerate improvements in forecasting high-impact weather. By providing ensemble prediction data from leading operational forecast centers, TIGGE has enhanced collaboration between the research and operational(More)
within the module comprised sessions designed to place the students in the position of network design consultants who are introduced to scenarios that have a high degree of realism in which a client has specific business requirements that can be met through the adoption of a network solution. In this way, the problem-based learning thread allows the(More)
—This paper proposes a conceptual framework for mobile learning applications that provides systematic support for mobile learning experience design. It is based on a combination of a game metaphor and several studies of mobile learning contexts. Accounts of four mobile learning projects are used to explore the relationship between the framework and mobile(More)
Agile software development methods have become increasingly popular since the late 1990s, and may offer improved outcomes for software development projects when compared to more traditional approaches. However there has previously been little published empirical evidence to either prove or disprove this assertion. A survey carried out in March 2006 gathered(More)
We describe an algorithm for planning the motions of several mobile robots which share the same workspace. Each robot is capable of independent translational motion in two dimensions, and the workspace contains polygonal obstacles. The algorithm computes a path for each robot which avoids all obstacles in the workspace as well as the other robots. It is(More)
Computed tomography (CT) and spirometry are the mainstays of clinical pulmonary assessment. Spirometry is effort dependent and only provides a single global measure that is insensitive for regional disease, and as such, poor for capturing the early onset of lung disease, especially patchy disease such as cystic fibrosis lung disease. CT sensitively measures(More)