A systematic review of the use of an expertise-based randomised controlled trial design

Acknowledgements JAC held a Medical Research Council UK methodology (G1002292) fellowship, which supported this research. The Health Services Research Unit, Institute of Applied Health Sciences (University of Aberdeen), is core-funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. Views express are those of the authors and do not necessarily reflect the views of the funders.Peer reviewedPublisher PD

Industrial implementation of intelligent system techniques for nuclear power plant condition monitoring

As the nuclear power plants within the UK age, there is an increased requirement for condition monitoring to ensure that the plants are still be able to operate safely. This paper describes the novel application of Intelligent Systems (IS) techniques to provide decision support to the condition monitoring of Nuclear Power Plant (NPP) reactor cores within the UK. The resulting system, BETA (British Energy Trace Analysis) is deployed within the UK’s nuclear operator and provides automated decision support for the analysis of refuelling data, a lead indicator of the health of AGR (Advanced Gas-cooled Reactor) nuclear power plant cores. The key contribution of this work is the improvement of existing manual, labour-intensive analysis through the application of IS techniques to provide decision support to NPP reactor core condition monitoring. This enables an existing source of condition monitoring data to be analysed in a rapid and repeatable manner, providing additional information relating to core health on a more regular basis than routine inspection data allows. The application of IS techniques addresses two issues with the existing manual interpretation of the data, namely the limited availability of expertise and the variability of assessment between different experts. Decision support is provided by four applications of intelligent systems techniques. Two instances of a rule-based expert system are deployed, the first to automatically identify key features within the refuelling data and the second to classify specific types of anomaly. Clustering techniques are applied to support the definition of benchmark behaviour, which is used to detect the presence of anomalies within the refuelling data. Finally data mining techniques are used to track the evolution of the normal benchmark behaviour over time. This results in a system that not only provides support for analysing new refuelling events but also provides the platform to allow future events to be analysed. The BETA system has been deployed within the nuclear operator in the UK and is used at both the engineering offices and on station to support the analysis of refuelling events from two AGR stations, with a view to expanding it to the rest of the fleet in the near future

Collaborative Design Practices in Technology Mediated Learning

The present article examines how practices of computersupported collaborative designing may be implemented in an elementary classroom. We present a case study in which 12-year-old students engaged in architectural design under the guidance of their teacher and a professional designer. The students were engaged in all aspects of design processes, such as analysing the design of existing houses, analysing the building site, determining building volume, design facades, and floor plans; they formed seven teams, each of which had its own house to design. The data-analysis relied on the Knowledge Forum database, consisting of students’ notes, pictures, sketches, and photos. The participants’ quantitative contributions to the database were analyzed with Analytic ToolKit which underlies Knowledge Forum. A qualitative content analysis was performed to the KF notes produced by the student teams; a theory and data-driven approach for categorizing the content of the notes was employed. The results revealed that the student teams considered various design constraints and familiarized themselves with their own building site and regulations regarding their permitted building volume. They constructed environmental models and scale models, and made the calculations of gross floor volume; scale drawings were inserted to KF’s Environmental Model view as pictures and texts. The results indicated that parallel working with conceptual (design ideas) and material artefacts (architectural models, prototypes of apartments, figures) supported one another. The intent was that involving students in modeling practices would help them build domain expertise, epistemological understanding, and skills to create and evaluate knowledge. Further, implications for designing technology-mediated collaborative design processes are discussed

An explicit model for learning to structure and analyze decisions by judges

Legal practitioners and legal scientists need to have knowledge of the general rules that apply in the legal system. This involves both knowledge of the legislation and knowledge of the decisions by judges that function as general rules of law. Law students preparing themselves for the legal profession need to acquire these kinds of knowledge. A student has to have knowledge about where to look for decisions, understand the structure of decisions and learn to determine what makes a decision relevant to the body of applicable rules in the legal system. Legal education primarily aims at acquiring insight in the legal sources, their history and background. This basic knowledge is of great importance; legal problem solving is hardly possible without an understanding of the legal knowledge. To illustrate the use of this knowledge in practice, teachers work through decisions as examples. However, it is difficult, if not impossible, to learn by explanation or by imitation alone. A more effective way to obtain expertise is by actually performing the task, i.e. students should do the exercises, while the teacher provides feedback on their solutions. For effective learning, also the solution process should be monitored and provided with feedback. Furthermore it is desirable for students to be able to ask for help at any time during the process. They should also be able to practice over and over again. An ideal situation would have a teacher available for every student, monitoring the student while practicing and providing support where and whenever necessary. However, this being not practically feasible, the second best option is to offer the student electronic support. CASE (Case Analysis and Structuring Environment) is an environment where a law student can practice with finding decisions, with structuring its text and with analysing the decision in order to be able to determine in what way it adds to the body of applicable rules in the legal system. CASE is developed using a principled and structured design approach. A short description of this approach is followed by an analysis of the learning task, the difficulties law students experience and the remedies proposed on the basis of both the task analysis and the stated difficulties. This is followed by a description of architecture, functionality, platform and implementation of CASE and a description of a session with CASE and future work

Smarter Outsourcing for Grantmakers

With the subsequent downturn in the economy, outsourcing became an even more attractive opption for some funders. Today, more than ever, grantmakers facing fluctations in the economy need to work more resourcefully, efficiently, and effectively. This paper will explore why grantmakers choose to outsource, what functions are typically contracted out, and how an outsourcing arrangement is best managed, based on the lessons TCC Group--and our clients--have learned over the past 30 years

Supporting knowledge exchange isn't easy: lessons learnt from a case study

A knowledge management system is introduced in a large insurance company. It is meant to become a virtual knowledge network for a group of insurance professionals. Despite the fact that the introduction was met with enthusiasm and user participation in the design was ensured, the system did not live up to the expectations. In this paper we investigate this failure by uncovering and analyzing the requirements engineering processes underlying the system's\ud conception, design and introduction. The demise of the system can be attributed to a lack of attention for the use context of the end users and a tendency in the development process to focus mostly on the technical solution instead of problem analysis