Exploring the role of design quality in the Building Schools for the Future programme

The Building Schools for the Future (BSF) programme represents the biggest single UK government investment in school buildings for more than 50 years. A key goal for BSF is to ensure that pupils learn in 21st-century facilities that are designed or redesigned to allow for educational transformation. This represents a major challenge to those involved in the design of schools. The paper explores the conceptualizations of design quality within the BSF programme. It draws on content analysis of influential reports on design published between 2000 and 2007 and interviews with key actors in the provision of schools. The means by which design quality has become defined and given importance within the programme through official documents is described and compared with the multiple understandings of design quality among key stakeholders. The findings portray the many challenges that practitioners face when operationalizing design quality in practice. The paper concludes with reflections on the inconsistencies between how design quality has been appropriated in the BSF programme and how it is interpreted and adopted in practice.

The futures of construction: A critical review of construction future studies

Anticipating the future is increasingly being seen as a useful way to align, direct and improve current organizational strategy. Several such 'future studies' have been produced which envision various construction industry scenarios which result from technological and socio-economic trends and influences. Thirteen construction-related future studies are critically reviewed. Most studies fail to address the complexities and uncertainties of both the present and the future, and fail to explore the connections between global, local, construction-specific and more widespread factors. The methodological approaches used in these studies do not generate any significantly different advice or recommendations for the industry than those emerging from the much larger canon of non-future oriented construction research. As such, these reports are less about the future than the present. If future studies are to make a worthwhile contribution to construction, it is critical that they develop our appreciation of the practical ability of stakeholders to influence some aspects of the future and not others, and an awareness of the competing agendas and the relative benefits and disadvantages of specific futures within the construction sector. Only then can future studies provide insights and help in preparing for the opportunities and threats the future may bring.

Past, present and future mathematical models for buildings (i)

This is the first of two articles presenting a detailed review of the historical evolution of mathematical models applied in the development of building technology, including conventional buildings and intelligent buildings. After presenting the technical differences between conventional and intelligent buildings, this article reviews the existing mathematical models, the abstract levels of these models, and their links to the literature for intelligent buildings. The advantages and limitations of the applied mathematical models are identified and the models are classified in terms of their application range and goal. We then describe how the early mathematical models, mainly physical models applied to conventional buildings, have faced new challenges for the design and management of intelligent buildings and led to the use of models which offer more flexibility to better cope with various uncertainties. In contrast with the early modelling techniques, model approaches adopted in neural networks, expert systems, fuzzy logic and genetic models provide a promising method to accommodate these complications as intelligent buildings now need integrated technologies which involve solving complex, multi-objective and integrated decision problems.

Past, present and future mathematical models for buildings (ii)

This article is the second part of a review of the historical evolution of mathematical models applied in the development of building technology. The first part described the current state of the art and contrasted various models with regard to the applications to conventional buildings and intelligent buildings. It concluded that mathematical techniques adopted in neural networks, expert systems, fuzzy logic and genetic models, that can be used to address model uncertainty, are well suited for modelling intelligent buildings. Despite the progress, the possible future development of intelligent buildings based on the current trends implies some potential limitations of these models. This paper attempts to uncover the fundamental limitations inherent in these models and provides some insights into future modelling directions, with special focus on the techniques of semiotics and chaos. Finally, by demonstrating an example of an intelligent building system with the mathematical models that have been developed for such a system, this review addresses the influences of mathematical models as a potential aid in developing intelligent buildings and perhaps even more advanced buildings for the future.

Evolution or extinction? Reflections on the future of research in educational leadership and management

Consideration of the quality, relevance and utility of research in educational leadership and management has been a growing concern of researchers, policy-makers and practitioners, but there is little agreement about its current state or priorities for development. The article reflects on the key criticisms that have been made of research in educational leadership and management in this issue, and elsewhere. It considers how we might begin to devise better ways of understanding its audiences, judging its quality and identifying priorities for the future. It argues that the research reflects its capture by those with particular interests or values, and impacts in ways which are complex and indirect. If educational leadership and management research is to be secure in its perceived value and contribution in the future, several developments are needed, including a greater emphasis on interdisciplinarity, an expansion of the range of methodologies, particularly qualtitative studies; and these shifts must be evident in training researchers as well as in the conduct of research.