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Background Study: Technology‐supported learning environments, act as significant observational and enabling indicators for evaluating and encouraging the digital revolution of education, are of vital importance in current educational research. Keeping track of the dynamics of technology‐supported learning environment research allows for the enrichment of theoretical studies and a prompt innovation of talent‐training environments. Objectives: The present study carried out a bibliometric analysis of the core collection of WoS database over the last two decades. Method: This study is a bibliometric research. We applied CiteSpace and VOSviewer for co‐occurrence and evolution analysis. In addition, we extracted the fundamental ideas and thoughts through reading and analysis. Results: First, the study found that technology‐supported learning environment research is in a growth phase, with core journals such as Interactive Learning Environments or Computers & Education. The findings show that a core research team comprised of such scholars as Hwang Gwo‐Jen, Lester James C. and Wong Lung‐Hsiang. Key nations of publishing and research strength are from China, the United States, the United Kingdom and the Netherlands. Second, the hot topics in research on technology‐supported learning environments were virtual learning environments, technology‐enabled learning environments and interactive learning environments. Nine study specifics were derived from these three topics such as moulding function, generating scenario, stimulating sensation, effect verification, design idea, research reflection, inquiry and research, virtual community, and mixed environment. Lastly, the frontier evolution offers a pattern of development from enhancing performance to changing mode to incorporating experience. Conclusion: Looking ahead, our research recommendations for the field of technology‐supported learning environments include a multifaceted approach. We should aim to enhance research designs and methodologies, develop contemporary guiding theories and strive for a balanced representation across various educational domains, expanding our scope to encompass all academic disciplines. In terms of practical application, it is imperative to focus on the design and implementation of technology‐supported learning environments from three critical perspectives: "change‐demand," "student‐learning" and "online‐offline." These approaches will collectively ensure that technology‐supported learning environments are both innovative and responsive to the diverse needs of the educational landscape. Lay Description: What is already known about this topic: Technology‐supported learning environments are currently a focal and hot research topic in the field of education.Although numerous studies have been conducted on the learning environment of technical support, there has yet to be a systematic and comprehensive review of the related research. What this paper adds: This study provides a comprehensive review of research on the technology‐supported learning environments over the past two decades.This study primarily presents an overview of research on the technology‐supported learning environments over the past two decades, focusing on main literature, research strength, hot topics and frontier evolution. Implications for practice and/or policy: Researchers need to further advance research on technology‐supported learning environments by enriching research designs and methods, constructing up‐to‐date guiding theories and achieving a balance across different educational domains while extending the reach to all disciplines.Educational practitioners need to pay attention to the design and implementation of technology‐supported learning environments from the three viewpoints of "change‐demand," "student‐learning" and "online‐offline." [ABSTRACT FROM AUTHOR]

In the face of a changing climate, a growing number of construction firms are adopting carbon reduction targets on individual projects and across their portfolios. In the wake of the Paris Agreement, some firms are seeking a means of aligning their targets with sectoral, national and international mitigation commitments. There are numerous ways by which such an alignment can be achieved, each requiring different assumptions. Using data from the UK construction industry, this paper reviews current company commitments and progress in carbon mitigation; analyses the unique challenges in aligning construction targets, and presents a series of possible sectoral decarbonisation trajectories. The results highlight the disparity between current company targets and the range of possible trajectories. It is clear that a cross-industry dialogue is urgently required to establish an appropriate response that delivers both a widely-accepted target trajectory and a plan for its delivery. This paper is intended to stimulate and support this necessary debate by illustrating the impact of different methodological assumptions and highlighting the critical features of an appropriate response. [ABSTRACT FROM AUTHOR]

Abstract: The Global Coupled 3 (GC3) configuration of the Met Office Unified Model is presented. Among other applications, GC3 is the basis of the United Kingdom's submission to the Coupled Model Intercomparison Project 6 (CMIP6). This paper documents the model components that make up the configuration (although the scientific descriptions of these components are in companion papers) and details the coupling between them. The performance of GC3 is assessed in terms of mean biases and variability in long climate simulations using present‐day forcing. The suitability of the configuration for predictability on shorter time scales (weather and seasonal forecasting) is also briefly discussed. The performance of GC3 is compared against GC2, the previous Met Office coupled model configuration, and against an older configuration (HadGEM2‐AO) which was the submission to CMIP5. In many respects, the performance of GC3 is comparable with GC2, however, there is a notable improvement in the Southern Ocean warm sea surface temperature bias which has been reduced by 75%, and there are improvements in cloud amount and some aspects of tropical variability. Relative to HadGEM2‐AO, many aspects of the present‐day climate are improved in GC3 including tropospheric and stratospheric temperature structure, most aspects of tropical and extratropical variability and top‐of‐atmosphere and surface fluxes. A number of outstanding errors are identified including a residual asymmetric sea surface temperature bias (cool northern hemisphere, warm Southern Ocean), an overly strong global hydrological cycle and insufficient European blocking. [ABSTRACT FROM AUTHOR]

In highly motorised countries, some sectors of the population own and use cars despite struggling to afford their running costs, and so may be particularly vulnerable to motor fuel prices increases, whether market-led or policy-driven. This paper proposes a novel, disaggregated approach to investigating vulnerability to such increases at the household level. We propose a set of indicators of ‘car-related economic stress’ (CRES), based on individual household level expenditure data for the UK, to identify which low-income households spend disproportionately on running motor vehicles, and to assess the depth of their economic stress. By subsequently linking the dataset to local fuel price data, we are able to model the disaggregated price elasticities of car fuel demand. This provides us with an indicator of each household’s adaptive capacity to fuel price increases. The findings show that ‘Low Income, High Cost’ households (LIHC) account for 9% of UK households and have distinct socio-demographic characteristics. Interestingly, they are characterised by very low responses to fuel price increases, which may cause them to compromise on other important areas of their household expenditures. Simulations suggest that a 20% increase in fuel prices would substantially increase the depth, but not the incidence of CRES. Overall, the study sheds light on a sector of the population with high levels of vulnerability to fuel price increases, owing to high exposure, high sensitivity and low adaptive capacity. This raises challenges for social, environmental and resilience policy in the transport sector. [ABSTRACT FROM AUTHOR]

Purpose: Previous studies using the WHOQOL measures have demonstrated that the relationship between individual items and the underlying quality of life (QoL) construct may differ between cultures. If unaccounted for, these differing relationships can lead to measurement bias which, in turn, can undermine the reliability of results.Methods: We used item response theory (IRT) to assess differential item functioning (DIF) in WHOQOL data from diverse language versions collected in UK, Zimbabwe, Russia, and India (total N = 1332). Data were fitted to the partial credit 'Rasch' model. We used four item banks previously derived from the WHOQOL-100 measure, which provided excellent measurement for physical, psychological, social, and environmental quality of life domains (40 items overall). Cross-cultural differential item functioning was assessed using analysis of variance for item residuals and post hoc Tukey tests. Simulated computer-adaptive tests (CATs) were conducted to assess the efficiency and precision of the four items banks.Results: Splitting item parameters by DIF results in four linked item banks without DIF or other breaches of IRT model assumptions. Simulated CATs were more precise and efficient than longer paper-based alternatives.Discussion: Assessing differential item functioning using item response theory can identify measurement invariance between cultures which, if uncontrolled, may undermine accurate comparisons in computer-adaptive testing assessments of QoL. We demonstrate how compensating for DIF using item anchoring allowed data from all four countries to be compared on a common metric, thus facilitating assessments which were both sensitive to cultural nuance and comparable between countries. [ABSTRACT FROM AUTHOR]

Positioned within a hybrid of the human and technology, professional nursing practice has always occupied a space that is more than human. In nursing education, technology is central in providing tools with which practice knowledge is mobilized so that students can safely engage with simulated human patients without causing harm to real people. However, while there is an increased emphasis on deploying these simulated humans as emissaries from person-centred care to demonstrate what it is like to care for real humans, the nature of what is really going on in simulation-what is real and what is simulated-is very rarely discussed and poorly understood. This paper explores how elements of postcolonial critical thought can aid in understanding the challenges of educating nurses to provide person-centred care within a healthcare culture that is increasingly reliant on technology. Because nursing education is itself a hybrid of real and simulated practice, it provides an appropriate case study to explore the philosophical question of technology in healthcare discourse, particularly as it relates to the relationship between the human patient and its uncanny simulated double. Drawing on postcolonial elements such as the uncanny, diaspora, hybridity, and créolité, the hybrid conditions of nursing education are examined in order to open up new possibilities of thinking about how learning to care is entangled with this technological space to assist in shaping professional knowledge of person-centred care. Considering these issues through a postcolonial lens opens up questions about the nature of the difficulty in using simulated human technologies in clinical education, particularly with the paradoxical aim of providing person-centred care within a climate that increasingly characterized as posthuman. [ABSTRACT FROM AUTHOR]

This paper considers the policy environment of adult literacy as a space within which sites of learning are shaped and given value. It explores the interplay between international, national and local visions of what literacy is, who literacy learners are and what counts as learning, thereby linking broader social formations with local practices of literacy learning. The paper briefly reviews changes in UK policy related to adult literacy over the last 40 years, identifying some of the international and national influences on it. In particular, it describes the rising importance of international policy indicators through the Organisation for Economic Co-operation and Development (OECD) and the European Union. These reach into the very heart of sites of learning, via the national media, policy documents and performance indicators used to evaluate both teachers and learners. It argues that the human resources view of literacy learning that has dominated recent policy initiatives produces a moral order of literacy which organises our understanding of different sites of learning, the people active within them and the different forms of learning in which they engage. Formal learning is privileged over informal learning; standardised and measurable outcomes are preferred. The ‘good’ literacy learner is constructed as a responsible citizen contributing to global prosperity. [ABSTRACT FROM AUTHOR]

Abstract: Building energy use accounts for almost 50% of the total CO2 emissions in the UK. Most of the research has focused on reducing the operational impact of buildings, however in recent years many studies have indicated the significance of embodied energy in different building types. This paper primarily focuses on illustrating the relative importance of operational and embodied energy in a flexible use light distribution warehouse. The building is chosen for the study as it is relatively easy to model and represents many distribution centres and industrial warehouses in Europe. A carbon footprinting study was carried out by conducting an inventory of the major installed materials with potentially significant carbon impact and material substitutions covering the building structure. Ecotect computer simulation program was used to determine the energy consumption for the 25 years design life of the building. This paper evaluates alternative design strategies for the envelope of the building and their effects on the whole life emissions by investigating both embodied and operational implications of changing the envelope characteristics. The results provide an insight to quantify the total amount of CO2 emissions saved through design optimisation by modeling embodied and operational energy. [Copyright &y& Elsevier]

Abstract: Network Enabled Capability (NEC) is the UK Ministry of Defence’s response to the quickly changing conflict environment in which its forces must operate. In NEC, systems need to be integrated in context, to assist in human activity and provide dependable inter-operation. In this paper, we present our research work in the NECTISE project with a focus on the modelling and simulation of service-oriented architecture (SOA) for delivering dependable and sustainable military capability. The simulation results indicate that the proposed architectural model can provide a high-level of reliability and sustainability in the provision of capability in a dynamic environment. Moreover, a NEC demonstration system for regional surveillance is introduced in this paper to illustrate the use of SOA to achieve NEC. [Copyright &y& Elsevier]

Purpose - The purpose of this paper is to identify a workable methodology to prioritise those crime scenes which have the greatest opportunity of a forensic recovery to enable effective Crime Scene Investigator (CSI) resource deployment. Design/methodology/approach - The motivation behind this work stemmed from an abundance of volume crime scenes that required examination and a lack of resources that could be deployed. Within a data mining application environment, two supervised learning algorithms were used to model Northamptonshire Police's forensic data to provide a computer-based model that could predict the outcome of finding a forensic sample at the currently unattended scene of a crime. Findings - Based on past data, a computer model could be produced to predict the probability of finding useful fingerprints, DNA and/or footwear marks at the scene of a volume crime. In this paper, volume crime means burglary dwelling, burglary in commercial buildings, theft of and theft from motor vehicles. The model was 68 percent accurate. CSIs were 41 percent accurate in their predictions. This has been tested within five different police forces each having differing computer systems, demonstrating that the methodology is portable. Practical implications - The model, when connected to either a crime recording system or an incident recording system, can produce a prioritised crime scene attendance list within minutes and assess crimes/incidents as they are reported. This list can be seamlessly used in conjunction with other attendance criteria if required, e.g. vulnerable victim, etc. Originality/value - This paper provides a scientific solution to CSI resource attendance management being proved in five different UK police forces. [ABSTRACT FROM AUTHOR]

Rare variant studies are now being used to characterize the genetic diversity between individuals and may help to identify substantial amounts of the genetic variation of complex diseases and quantitative phenotypes. Family data have been shown to be powerful to interrogate rare variants. Consequently, several rare variants association tests have been recently developed for family-based designs, but typically, these assume the normality of the quantitative phenotypes. In this paper, we present a family-based test for rare-variants association in the presence of non-normal quantitative phenotypes. The proposed model relaxes the normality assumption and does not specify any parametric distribution for the marginal distribution of the phenotype. The dependence between relatives is modeled via a Gaussian copula. A score-type test is derived, and several strategies to approximate its distribution under the null hypothesis are derived and investigated. The performance of the proposed test is assessed and compared with existing methods by simulations. The methodology is illustrated with an association study involving the adiponectin trait from the UK10K project. [ABSTRACT FROM AUTHOR]

Abstract: An archetypal simulation model of office building representing variability in UK office building stock by parameterising built form, construction elements, occupancy/usage and operational/control strategy has been developed thus enabling detailed energy performance simulation to be used for stock modelling and parametric studies. The paper discusses the building characteristics needed to be considered for energy performance simulation, their values, and how they can be used in parametric studies. These parameters include built forms, fabrics (including thermal mass and insulation positioning), glazing percentages and characteristics, daylight and solar control measures and activity and operational related parameters (heating and cooling set points, ventilation rate, occupancy density and metabolic rate, equipment and lighting gain). The default parameter values suggested for the archetypal simulation model reflect typical existing and currently proposed UK office building stock. An archetypal model, combined with parametric studies, can be used in assessing energy performance of building stock and evaluating adaptation/retrofitting strategies. [Copyright &y& Elsevier]

UK regional policy has been advocated as a means of reducing regional disparities and stimulating national growth. However, there is limited understanding of the interregional and national effects of such a policy. This paper uses an interregional computable general equilibrium model to identify the national impact of a policy-induced regional demand shock under alternative labour market closures. Our simulation results suggest that regional policy operating solely on the demand side has significant national impacts. Furthermore, the effects on the nontarget region are particularly sensitive to the treatment of the regional labour market. [ABSTRACT FROM AUTHOR]

Abstract: The Low Carbon Futures project, funded by the Adaptation and Resilience in a Changing Climate (ARCC) Programme, has the objective of using the latest UK climate projections (UKCP’09) to assess overheating in a range of domestic and non-domestic buildings. As these climate projections are probabilistic in nature, and dynamic building simulation is being used by the project to assess building performance, the information produced is vast. To understand how to filter this data into a useable tool that can interact with current building practices, the project has commissioned a range of focus groups to obtain practitioner feedback. These focus groups provide guidance on how buildings are currently designed with respect to overheating but also how future overheating risk assessments, incorporating probabilistic climate projections, might be carried out. This paper describes the assimilation of all this research into a coherent building simulation methodology that could be used by building practitioners to assess future overheating risks of a range of buildings, and provide guidance for applying adaptation solutions to prevent defined comfort thresholds being exceeded. [Copyright &y& Elsevier]

thompson c., yang h. & crouch s. (2012) Clinical simulation fidelity and nurses' identification of critical event risk: a signal detection analysis. Journal of Advanced Nursing 68(11), 2477-2485. Abstract Aims. This article is a report of a study exploring the effect of increasing fidelity on nurses' risk detection in clinical simulation and the effect of clinical experience on nurses' risk detection ability. Background. Clinical environments can be recreated successfully using simulation. However, how judgement changes as simulation fidelity increases is unknown. Knowledge of the effects of increased fidelity on judgement may help in the design of educational interventions seeking to improve clinical judgement in nurses. Design. Quasi experimental signal detection study. Method. During 2008-2009, using a quasi experimental signal detection design, 63 nursing students and 34 experienced nurses were presented with 25 paper and 25 human simulator 'cases' based on real patient records from a single UK National Health Service hospital. Nurses judged whether a simulated case was 'at risk' or 'not at risk' of a critical event. Clinical judgement performance was measured using standard signal detection measures. Findings. Judgement performance, as measured by hit rates and signal detection ability were significantly lower in higher fidelity clinical simulations. False alarm rates and bias (β) did not differ according to the fidelity of simulation. Clinical experience did not predict the ability to detect risk. Conclusion. As fidelity of simulation increased, both novice and experienced nurses' were less likely to be able to separate important clinical risk from clinical noise in a simulated clinical environment. [ABSTRACT FROM AUTHOR]

The aim of this paper is to describe a methodology for using Cultural-Historical Activity Theory (CHAT) at the initial stages of the design process of an educational game, by exploring how the theory can be used as a framework for producing not only usable but also useful computer tools. The research also aimed to investigate how the theory could be used for designing computer tools for learning science. Although CHAT and specifically the concepts of 'activity system' and 'contradictions' were used as the basis for the design and development of the educational game, subsidiary design guidelines also contributed significantly to this process. These derived from the research fields of Human Computer Interaction and Science Education and from students' everyday experiences when playing video games at home. The educational game produced was concerned with the teaching and learning of 'Expansion and Contraction of Air' in primary science, a subject that existing research suggests is conceptually difficult for students. As far as the main outcomes of the study are concerned, it was revealed through the implementation of the game that contradictions could be adequately resolved, while stakeholders' needs and motives could be appropriately addressed. [ABSTRACT FROM AUTHOR]

In this paper, I examine the properties of the handicapping system in the UK. Using a generalized ordered logistic regression model of hole by hole scores of individuals, simulation was employed to calculate the probability of winning for an individual in stroke play and match play head to heads and also in tournament competitions with multiple entrants. The results suggest that the current handicapping system does not produce equal probabilities of players with different handicaps winning. Specifically, lower handicappers have a higher probability of winning in both stroke play and match play games. Having investigated the possibility of employing scaling factors in order to level these probabilities, I pose the question of the extent to which equal probabilities is in fact a desirable property of a handicapping system. [ABSTRACT FROM AUTHOR]

Abstract: This paper describes the analysis of the hygrothermal behaviours of stabilised rammed earth (SRE) walls used in a building in the UK. The analysis was achieved by computer simulation using WUFI Plus v1.2 whole building hygrothermal analysis software. To validate the model, an unoccupied test room in an unheated SRE building was monitored for 10 months. The hygrothermal properties of the SRE material were measured in the laboratory. It is shown that the SRE walls significantly reduced the amplitude of relative humidity fluctuations in the room air and reduced the frequency of high humidity periods at the wall surface. By adapting the model to represent an occupied and conditioned space, it is demonstrated that SRE walls have the potential to reduce the energy demand for humidification/dehumidification plant. [Copyright &y& Elsevier]

Abstract: Traditionally, researchers have employed statistical methods to model crime. However, these approaches are limited by being unable to model individual actions and behaviour. Brantingham and Brantingham (1993) described that in their opinion a useful and productive model for simulating crime would have the ability to model the occurrence of crime and the motivations behind it both temporally and spatially. This paper presents the construction and application of an agent-based model (ABM) for simulating occurrences of residential burglary at an individual level. It presents a novel framework that allows both human and environmental factors to be simulated. Although other agent-based models of crime do exist, this research represents the first working example of integrating a behavioural framework into an ABM for the simulation of crime. An artificial city, loosely based on the real city of Leeds, UK, and an artificial population were constructed, and experiments were run to explore the potential of the model to realistically simulate the main processes and drivers within this system. The results are highly promising, demonstrating the potential of this approach for both understanding processes behind crime and improving policies and developing effective crime prevention strategies. [Copyright &y& Elsevier]

This paper reviews recent advances in weather forecasting capability in the United Kingdom and their implications for increasing the lead time with which flood warnings can be issued. The events of summer 2007 have highlighted the vulnerability of parts of the United Kingdom to flooding and the need for long lead time flood warnings to enable the protection of people and critical infrastructure. Historically, computer weather forecasting models have been unable to forecast at the scales of importance for flood warning, and so the warning processes have been forced to rely on measurements on the ground. Examples are presented to demonstrate that new forecasting technologies, currently being implemented, enable warnings to be produced much earlier, provided they are couched in probabilistic terms and interpreted appropriately. Crown Copyright © 2009. Reproduced with the permission of the Controller of HMSO. Published by John Wiley & Sons, Ltd [ABSTRACT FROM AUTHOR]

This paper presents selected findings from a three-year research project that was funded by the Human Sciences domain of the U.K. Ministry of Defence's scientific research program. A significant number of military systems are operated by teams of varying sizes, and there is a trend toward greater teamwork in the future, as technological advances enable enhanced cooperation between geographically distributed personnel. The need to be able to determine the most appropriate team structure for the most effective performance is becoming greater. The approach that is presented here has taken theoretical concepts from the team performance literature, developed them into an enhanced theoretical formulation, operationalized them, selected representative tradeoff criteria, and implemented them using a computer-modeling tool. The program that was undertaken was able to demonstrate that operationalizing team structure and team-performance-shaping factors in specific behavioral terms in this way has immense potential to generate quantitative output, allowing meaningful comparisons among design or operational alternatives. In addition, the discipline of the operationalization process provides a means for enriching theoretical concepts by grounding them in realistic behavioral terms, and this can lead to enhanced theorizing. Furthermore, once the initial data are collected and the model is built, modification is neither labor nor time intensive. The approach could be developed further to apply to many more team structure and performance concepts. We believe that this will enhance both the theory and the value of team-structure modeling for practical application in system design in the future. [ABSTRACT FROM AUTHOR]

Random effects models are used in many applications in medical statistics, including meta-analysis, cluster randomized trials and comparisons of health care providers. This paper provides a tutorial on the practical implementation of a flexible random effects model based on methodology developed in Bayesian non-parametrics literature, and implemented in freely available software. The approach is applied to the problem of hospital comparisons using routine performance data, and among other benefits provides a diagnostic to detect clusters of providers with unusual results, thus avoiding problems caused by masking in traditional parametric approaches. By providing code for Winbugs we hope that the model can be used by applied statisticians working in a wide variety of applications. [ABSTRACT FROM AUTHOR]

Background: Poor performance and inadequate training in colonoscopy in the UK has been reported. Several centers across the UK run intensive hands-on training courses but their efficacy has not been established. Methods: To assess the benefit of the accelerated colonoscopy training course, an audit was conducted for the 50 trainees who individually attended the course. The course objectives were to increase core knowledge and improve the basic hand skills required for colonoscopy on a one-to-one basis. This includes three microteaching, two computer simulator and four hands-on training sessions within 4 days. They performed two multiple-choice question (MCQ) papers. Performance parameters measured at the beginning and end of the course were the Direct Observation of Procedural Skills (DOPS) using visual analog scales for all aspects of colonoscopy technique. Results: The MCQ score significantly increased: mean score 57% vs 66% ( P < 0.0001). DOPS demonstrated an improvement in clinical skills. Pre- and post-course mean scores were: general approach 75 vs 81 ( P = 0.007), basic handling technique 59 vs 67 ( P = 0.002), understanding and control of looping 54 vs 67 ( P < 0.0001), cecal/ileal intubation 61 vs 76 ( P < 0.0001) and extubation technique 65 vs 77 ( P < 0.0001), respectively. All trainees had a high level of satisfaction and found the hands-on training most beneficial. Conclusion: This intensive course improves core knowledge and clinical skills in colonoscopy, which maximizes hands-on training, which may accelerate the learning curve. [ABSTRACT FROM AUTHOR]

Abstract In modern society natural objects like spiders or snakes have a primary role as the loci of specific phobias. Drawing on interviews with members of the UK National Phobics Society (NPS) and associated service providers, this paper explores the implications of the increasingly significant role played by new media, particularly Virtual Reality technologies, in the treatment of these ‘bio-phobias’. While advanced technological approaches provide new possibilities for individual sufferers to experiment with and control their phobic responses they also exemplify certain aspects of those specifically modern social relations that are the media within which bio-phobic behaviours develop. From a critical sociological perspective the techno-philic move to the medium of cyber-space may actually exaggerate characteristically modern social relations that seek (but never convincingly manage) to assert complete ‘cultural’ control over the unpredictable ‘natural’ elements threatening our cultural integrity. [ABSTRACT FROM AUTHOR]

Dynamic simulation is used extensively in the UK to provide important insight into the mechanisms and causes of real derailments and to assist with safety management. This paper describes the types of derailment simulated and uses two case studies to demonstrate how simulation supports derailment investigations. [ABSTRACT FROM AUTHOR]

Judgmental modelling has been used on a wide variety of business problems, and with the advent of new technologies is becoming increasingly user friendly. The range of applications has helped develop understanding of managerial decision making processes, especially those related to group decision making. However, to date there has been little evidence of their use in the social services. This paper describes such an application among social workers in the United Kingdom. One of the difficulties facing social workers is deciding how to deal with individuals with mental disorders. The state has various legal procedures which can be brought into operation, ranging from no involvement with the individual through to compulsory hospitalisation. This study shows how a judgmental modelling approach was used to help define the decision variables. A group of experts from a particular social services department worked together on the problem, using a simple computer model to investigate its decision making criteria and the associated processes. The results are fully presented, and the implications for the role of social workers discussed. [ABSTRACT FROM AUTHOR]