STEM@1000mph: developing open educational resources in a live engineering project

Higher education institutions are recognising the clear benefits of open educational resources, and academics are engaging with the development of these resources. This paper presents a case study of OERs being developed using the live, current BloodhoundSSC world land speed record project as a basis. The paper outlines the rationale for the BloodhoundSSC project and its focus on educational engagement across the age spectrum. The work undertaken to develop a web-based repository along with activities to stimulate academic and student engagement are described. The paper explores how academics have engaged with developing OERs based on this openly available content, the issues encountered and ways in which these issues can be mitigated

Preparing students for post-secondary success : exploring the efficacy of an information technology certification program.

Career and Technical Education (CTE) has a long and rich history of achievement among diverse populations. Two recent events have added to the complexity of CTE. First, the accountability movement forces traditional programs to show growth and achievement with students. Accountability trends affect the content and delivery of almost all programs. Perhaps more significantly, measureable performance is increasingly becoming tied into program funding with CTE programs. Second, while CTE in general has enjoyed a long history in secondary education, an emerging subcomponent is gaining attention. Information Technology (IT) classes have been present in secondary institutions for over 30 years. Business, industry, and government organizations, however, have been actively searching for more standardized programs that deliver a full supply of highly skilled, IT capable individuals. Over 1000 IT certifications exist, many available at the secondary level (Randell & Zirkle, 2005). Traditionally, most IT training has occurred in technical and other post-secondary academic institutions. Recent pressures, however, are forcing certification requirements downward to secondary institutions. Career and college readiness standards, as well as national, state, and local accountability initiatives are influencing many aspects of high school certification programs. Little is known, however, about the short and long term effectiveness of these programs and with what populations. It is the purpose of this study to examine the primary and secondary effects of IT certification curricula on the self efficacy of a diverse sample of high school IT certification students.

Data-driven through-life costing to support product lifecycle management solutions in innovative product development

Innovative product usually refers to product that comprises of creativity and new ideas. In the development of such a new product, there is often a lack of historical knowledge and data available to be used to perform cost estimation accurately. This is due to the fact that traditional cost estimation methods are used to predict costs only after a product model has been built, and not at an early design stage when there is little data and information available. In light of this, original equipment manufacturers are also facing critical challenges of becoming globally competitive and increasing demands from customer for continuous innovation. To alleviate these situations this research has identified a new approach to cost modelling with the inclusion of product lifecycle management solutions to address innovative product development.The aim of this paper, therefore, is to discuss methods of developing an extended-enterprise data-driven through-life cost estimating method for innovative product development

Through life costing in defence electronic systems: an integrated data-driven multi-level approach

Cost estimating is a business process that is critical to the defence sector, where many products have low volumes and long life cycles. The nature of a defence system is often unique (for example, a naval platform) which consists of a number of sub-systems and components. For the design of such a system cost estimating is a critical task, in particular the requirement to predict the cost throughout the systems lifetime. The aim of this paper therefore is to discuss an integrated approach that provides a general framework for through life costing in defence systems via the development of: (1) a generic data library to support designers and cost estimators, (2) data searching and transfer mechanisms to support a top-down and bottom-up hybrid cost modelling approach, (3) capturing reliability data to support product services. The paper is divided into several sections, first, a review of relevant research projects concerning integration and data capture for cost modelling. This is followed by a section, which highlights problems of performing cost estimates for low volume products, and subsequently the proposed solution, methods of cost estimation and example applications. Perhaps most importantly, the methods created in this research are able to enhance decision-making and accelerate the responsiveness of the business bidding process

Data Modelling and Optimization in Cost Estimation for Innovative Low Volume Product Development

This paper reports on the progress of the research and development of a data modelling and optimization method to support cost estimation in the product development process. This paper forms part of an investigation into Through-Life Costing of innovative low volume long life defence electronic systems. The paper briefly covers the literature review in the area of cost estimation in product development, in particularly the data sets needed to perform cost estimation and the method of modelling the data and the optimization techniques. The propose approach will be used to support cost estimation in product development decisions of innovative low volume product development

The confounding effects of source isotopic heterogeneity on consumer-diet and tissue-tissue stable isotope relationships

Stable isotope analysis of consumer tissues document patterns of resource use because data are linearly related to isotope compositions of their source(s) (i.e., food, water, etc.). Deviations in parameters estimated for these relationships can arise from variations in consumer tissue-diet spacing (Δ TS ) and the level of isotopic heterogeneity in the source(s). We present a set of simple hypotheses that distinguish between the effects of Δ TS and source isotope heterogeneity. The latter may arise via mixed diets, during tissue turnover, or by isotopic routing of dietary components. We apply these concepts to stable carbon and nitrogen isotope relationships between gut contents and body tissues of large mammal herbivores from mixed C3/C4 South African savannas and test predictions based on the compound- and/or time-specific data archived within each material. Predicted effects of source isotope heterogeneity are readily detected in carbon isotope relationships between materials representing different time periods or comprising bulk versus protein-only diet components. Differences in Δ TS of carbon isotopes across mammal herbivore species with very different feeding niches (and diet isotope compositions) are likely to be small or non-existent in these habitats. Variations in Δ TS estimated for nitrogen isotopes are much greater, leading to inconsistencies that cannot be explained by diet or trophic level effects alone. The effects of source heterogeneity on isotopic relationships generate numerical artefacts that have been misinterpreted as variations in Δ TS . We caution against generalized application of hypotheses based on assumptions of source isotopic homogeneity, even for single diets commonly used in laboratory studies. More careful consideration of how heterogeneity affects consumer-diet relationships is needed for many field and laboratory system

Alignment of patient and primary care practice member perspectives of chronic illness care: a cross-sectional analysis

Polly H. Noel and Luci K. Leykum are with the South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX 78229, USA -- Polly H. Noel, Ray F. Palmer, Raquel L. Romero, Luci K. Leykum, Holly J. Lanham, and Krista W. Bowers are with the Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229, USA -- Michael L. Parchman is with the MacColl Center for Healthcare Innovation, Group Health Research Institute, Group Health Cooperative, 1730 Minor Ave 1600, Seattle, WA 98101, USA -- Holly J. Leykum is with the The McCombs School of Business, The University of Texas at Austin, 2110 Speedway, Stop B6000, Austin, TX 78712, USA -- John E. Zeber is with the Central Texas Veterans Health Care System, 1901 S. 1st St, Temple, TX 76504, USA and Scott and White Healthcare Center for Applied Health Research, 2401 S. 31st St, Temple, TX 76508, USABackground: Little is known as to whether primary care teams’ perceptions of how well they have implemented the Chronic Care Model (CCM) corresponds with their patients’ own experience of chronic illness care. We examined the extent to which practice members’ perceptions of how well they organized to deliver care consistent with the CCM were associated with their patients’ perceptions of the chronic illness care they have received. Methods: Analysis of baseline measures from a cluster randomized controlled trial testing a practice facilitation intervention to implement the CCM in small, community-based primary care practices. All practice “members” (i.e., physician providers, non-physician providers, and staff) completed the Assessment of Chronic Illness Care (ACIC) survey and adult patients with 1 or more chronic illnesses completed the Patient Assessment of Chronic Illness Care (PACIC) questionnaire. Results: Two sets of hierarchical linear regression models accounting for nesting of practice members (N = 283) and patients (N = 1,769) within 39 practices assessed the association between practice member perspectives of CCM implementation (ACIC scores) and patients’ perspectives of CCM (PACIC). ACIC summary score was not significantly associated with PACIC summary score or most of PACIC subscale scores, but four of the ACIC subscales were consistently associated with PACIC summary score and the majority of PACIC subscale scores after controlling for patient characteristics. The magnitude of the coefficients, however, indicates that the level of association is weak. Conclusions: The ACIC and PACIC scales appear to provide complementary and relatively unique assessments of how well clinical services are aligned with the CCM. Our findings underscore the importance of assessing both patient and practice member perspectives when evaluating quality of chronic illness care.Information, Risk, and Operations Management (IROM)[email protected]

The confounding effects of source isotopic heterogeneity on consumer–diet and tissue–tissue stable isotope relationships

Stable isotope analysis of consumer tissues document patterns of resource use because data are linearly related to isotope compositions of their source(s) (i.e., food, water, etc.). Deviations in parameters estimated for these relationships can arise from variations in consumer tissue–diet spacing (DTS) and the level of isotopic heterogeneity in the source(s). We present a set of simple hypotheses that distinguish between the effects of DTS and source isotope heterogeneity. The latter may arise via mixed diets, during tissue turnover, or by isotopic routing of dietary components. We apply these concepts to stable carbon and nitrogen isotope relationships between gut contents and body tissues of large mammal herbivores from mixed C3/C4 South African savannas and test predictions based on the compound- and/or time-specific data archived within each material. Predicted effects of source isotope heterogeneity are readily detected in carbon isotope relationships between materials representing different time periods or comprising bulk versus protein-only diet components. Differences in DTS of carbon isotopes across mammal herbivore species with very different feeding niches (and diet isotope compositions) are likely to be small or non-existent in these habitats. Variations in DTS estimated for nitrogen isotopes are much greater, leading to inconsistencies that cannot be explained by diet or trophic level effects alone. The effects of source heterogeneity on isotopic relationships generate numerical artefacts that have been misinterpreted as variations in DTS. We caution against generalized application of hypotheses based on assumptions of source isotopic homogeneity, even for single diets commonly used in laboratory studies. More careful consideration of how heterogeneity affects consumer–diet relationships is needed for many field and laboratory systems