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Unfolding the Engineering Thinking of Undergraduate Engineering StudentsRuben Lopez (12277013) 08 December 2022 (has links)
<p>Professional engineers think and act in distinctive ways when addressing engineering problems. Students need to develop this reasoning or engineering thinking during their education. Unfolding the undergraduate students’ thinking is a necessary step in designing experiences and teaching materials that foster not only their understanding of engineering concepts but also their learning to think as professional engineers. While there are previous studies about the students' thinking in other disciplines, more research is needed in engineering. This three-study dissertation aims to further our comprehension of undergraduate students’ engineering thinking using an adapted version of the Engineering Habits of Mind (EHoM) model. Specifically, the dissertation’s studies work together to continue the research that addresses the question:<em> What are the characteristics of undergraduate students</em>’ <em>engineering thinking?</em></p>
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<p>The first study used naturalistic inquiry to holistically explore the cognition associated with the EHoM of senior chemical engineering students when improving a chemical plant. The analysis of students’ interactions showed that their redesign process followed an iterative co-evolution of the problem and solution spaces. Furthermore, they treated the task as a socio-technical problem considering engineering and non-engineering factors. In addition, while exploring problem and solution entities, they used multiple representations to communicate ideas but had difficulties translating symbolic representations into more physical, concrete representations. Regardless the technical issues and time constraints, the students completed the conceptual redesign and communicated their proposal to the client.</p>
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<p>The second study used qualitative content analysis to examine first-year engineering students’ ideation as a cognitive skill associated with the EHoM of problem finding and creative problem solving. Particularly, it focused on students’ ideation of questions and recommendations when doing data analytics to help improve a client’s enterprise. The analysis of students’ reports showed that they expanded the problem space of the task by bringing additional information that was not provided. They asked questions focused on performing statistical analysis of the dataset and requesting information about the company’s business model. At the end of their data analytics, students made high- and low-quality recommendations considering their alignment with a specific problem, robust evidence, and the client’s needs. </p>
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<p>The third study used qualitative descriptive research to investigate undergraduate participants' cognitive competencies within engineering systems thinking at the International Genetically Engineered Machine (iGEM) competition. These competencies are associated with the EHoM of problem finding, creative problem solving, systems thinking, and visualization. Mainly, the study focused on analyzing the evidence of cognitive competencies documented in the publicly available participants’ wikis where they registered their design process. Results showed that iGEM teams developed solutions with biological systems interacting with other systems and used concepts and tools from multiple disciplines. They also cooperated with stakeholders, which helped them analyze their system from multiple lenses. Moreover, depending on their upfront task, they fluidly represented their systems from structural, behavioral, and functional perspectives. </p>
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<p>The final chapter of this dissertation presents an overarching discussion across the studies. The findings and implications will support curriculum designers, instructors, and other interested readers to prepare learning environments that promote undergraduate students’ engineering thinking. Furthermore, they may guide future efforts to continue exploring the students' thinking process when addressing engineering problems. </p>
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Timely care for frail older people referred to hospital improves efficiency and reduces mortality without the need for extra resourcesSilvester, K.M., Mohammed, Mohammed A., Harriman, P., Girolami, A., Downes, T.W. 01 July 2014 (has links)
No / Hospitals are under pressure to reduce waiting times and costs. One strategy that may be effective focuses on optimising the flow of emergency patients. We undertook a patient flow analysis of older emergency patients to identify and address delays in ensuring timely care, without additional resources. Prospective systems redesign study over 2 years. The Geriatric Medicine Directorate in an acute hospital (Sheffield Teaching Hospitals NHS Foundation Trust) with 1920 beds. Older patients admitted as emergencies. Diagnostic patient flow analysis followed by a series of Plan Do Study Act cycles to test and implement changes by a multidisciplinary team using time series run charts. 60% of patients aged 75+ years arrived in the Emergency Department during office hours, but two-thirds of the admissions to GM wards were outside office hours highlighting a major delay. Three changes were undertaken to address this, Discharge to Assess, Seven Day Working and the establishment of a Frailty Unit. Average bed occupancy fell by 20.4 beds (95% confidence interval (CI) -39.6 to -1.2, P = 0.037) for similar demand. The risk of hospital mortality also fell by 2.25% (before 11.4% (95% CI 10.4-12.4%), after 9.15% (95% CI 7.6-10.7%) which equates to a number needed to treat of 45 and a 19.7% reduction in relative risk of mortality. The risk of re-admission remained unchanged. Redesigning the system of care for older emergency patients led to reductions in bed occupancy and mortality without affecting re-admission rates or requiring additional resources.
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Ecosystem services, biodiversity and human wellbeing along climatic gradients in smallholder agro-ecosystems in the Terai Plains of Nepal and northern GhanaThorn, Jessica Paula Rose January 2016 (has links)
Increasingly unpredictable, extreme and erratic rainfall with higher temperatures threatens to undermine the adaptive capacity of food systems and ecological resilience of smallholder landscapes. Despite growing concern, land managers still lack quantitative techniques to collect empirical data about the potential impact of climatic variability and change. This thesis aims to assess how ecosystem services and function and how this links with biodiversity and human wellbeing in smallholder agro-ecosystems in a changing climate. To this end, rather than relying on scenarios or probabilistic modelling, space was used as a proxy for time to compare states in disparate climatic conditions. Furthermore, an integrated methodological framework to assess ecosystem services at the field and landscape level was developed and operationalised, the results of which can be modelled with measures of wellbeing. Various multidisciplinary analytical tools were utilised, including ecological and socio-economic surveys, biological assessments, participatory open enquiry, and documenting ethnobotanical knowledge. The study was located within monsoon rice farms in the Terai Plains of Nepal, and dry season vegetable farms in Northern Ghana. Sites were selected that are climatically and culturally diverse to enable comparative analysis, with application to broad areas of adaptive planning. The linkages that bring about biophysical and human changes are complex and operate through social, political, economic and demographic drivers, making attribution extremely challenging. Nevertheless, it was demonstrated that within hotter and drier conditions in Ghana long-tongued pollinators and granivores, important for decomposition processes and pollination services, are more abundant in farms. Results further indicated that in cooler and drier conditions in Nepal, the taxonomic diversity of indigenous and close relative plant species growing in and around farms, important for the provisioning of ecosystem services, decreases. All other things equal, in both Nepal and Ghana findings indicate that overall human wellbeing may be adversely effected in hotter conditions, with a potentially significantly lower yields, fewer months of the year in which food is available, higher exposure to natural hazards and crop loss, unemployment, and psychological anxiety. Yet, surveys indicate smallholders continue to maintain a fair diversity of species in and around farms, which may allow them to secure basic necessities from provisioning ecosystem services. Moreover, farmers may employ adaptive strategies such as pooling labour and food sharing more frequently, and may have greater access to communication, technology, and infrastructure. Novel methodological and empirical contributions of this research offer predictive insights that could inform innovations in climate-smart agricultural practice and planning.
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Strategic intent and the management of infrastructure systemsBlom, Carron Margaret January 2017 (has links)
Infrastructure is presenting significant national and global challenges. Whilst often seen as performing well, infrastructure tends to do so against only limited terms of reference and short-term objectives. Given that the world is facing a new infrastructure bill of ~£40T, improving the benefits delivered by existing infrastructure is vital (Dobbs et al., 2013). This thesis investigates strategic intent and the management of infrastructure systems; how factors such as organisational structure and business practice affect outcomes and the ways in which those systems — not projects — are managed. To date, performance has largely been approached from the perspective of project investment and/or delivery, or the assessment of latent failures arising from specific shocks or disruptive events (e.g. natural disaster, infrastructure failures, climate change). By contrast, the delivery of system-level services and outcomes across the infrastructure system has been rarely examined. This is where infrastructure forms an enduring system of services, assets, projects, and networks each at different stages of their lifecycle, and affecting one another as they develop, then age. Yet system performance, which also includes societal, organisational, administrative and technical factors, is arguably the level relevant to, and the reality of, day-to-day public infrastructure management. This research firstly investigated industry perceptions in order to test and confirm the problem: the nub of which was the inability to fully deliver appropriate and relevant infrastructure outcomes over the long term. Three detailed studies then explored the reasons for this problem through different lenses; thereby providing an evidence-base for a range of issues that are shared by the wider infrastructure industry. In confirming its hypothesis that “the strategic intent and the day-to-day management of infrastructure systems are often misaligned, with negative consequences for achieving the desired long-term infrastructure system outcomes”, this research has increased our understanding of the ways in which that misalignment occurs, and the consequences that result. It found those consequences were material, and frequently not visible within the sub-system accountable for the delivery of those outcomes. That public infrastructure exists, not in its own right, but to be of benefit to society, is a central theme drawn from the definition of infrastructure itself. This research shows that it is not enough to be focused on technical outcomes. Infrastructure needs to move beyond how society interacts with an asset, to the outcomes that reflect the needs, beliefs, and choices of society as well as its ability to respond to change (aptitude). Although the research has confirmed its hypothesis and three supporting propositions, the research does not purport to offer ‘the solution’. Single solutions do not exist to address the challenges facing a complex adaptive system such as infrastructure. But the research does offer several system-oriented sense-making models at both the detailed and system-level. This includes the probing methodology by way of a diagnostic roadmap. These models aim to assist practitioners in managing the transition of projects, assets, and services into a wider infrastructure system, their potential, and in (re)orienting the organisation to the dynamic nature of the system and its societal imperative.
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Using information to provide safe care for neonatal care unit patients : Medical staff interprets their use of information and communication technologies / Informationsanvändning för att tillhandahålla säker vård för patienter vid neonatalavdelning : Medicinsk personal tolkar sin användning av informations- och kommunikationsteknikStjerndorff Gröhn, Pia January 2020 (has links)
2017 became the beginning of the Childbirth Crisis of Sweden, as a result of underbudgeting and understaffing, creating an environment where patient safety and availability was questioned. Additionally, information and communication technology rapidly take a larger role in the field of healthcare, nourishing new solutions for old processes. This explorative research was conducted to answer how information and communication technologies, and communication techniques, are used and could be used to provide safe care for patients. This study was conducted with 10 participants working as medical staff at a Swedish neonatal care unit. The medical staff who participated consisted of registered nurses, certified pediatric nurses, pediatric nursing assistants, and one nursing assistant. The approach of this research was through system thinking in the tradition of soft systems thinking. The data collection was performed with a combination of semi-structured interviews and card sorting. The collected data were processed, organized, and interpreted with the three c’s of analysis and thematic analysis. The results of this study are complemented by rich pictures. The empirical findings of this study describe a neonatal care unit known at its hospital to be the one unit holding the largest number of different devices. The medical staff at the researched NCU are using information and communication technology in a combination together with specific communication techniques, to create an understanding of their patients’ conditions. The study connects a state of safe care to the training and knowledge of the information and communication technologies, and communication techniques used at the neonatal care unit. The combination of the information and communication technologies, and communication techniques used at the NCU are vital tools, conclusive to the medical staff when providing safe care for patients. This study provides an insight into one Swedish neonatal care unit, based on the interpretations of its medical staff.
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Transformation or Tragedy?A Retrospective Phenomenological Study of School ClosureGlenda, Toneff-Cotner E. 03 June 2015 (has links)
No description available.
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An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-makingMcLucas, Alan Charles, Civil Engineering, Australian Defence Force Academy, UNSW January 2001 (has links)
System dynamics modelling has been used for around 40 years to address complex, systemic, dynamic problems, those often described as wicked. But, system dynamics modelling is not an exact science and arguments about the most suitable techniques to use in which circumstances, continues. The nature of these wicked problems is investigated through a series of case studies where poor situational awareness among stakeholders was identified. This was found to be an underlying cause for management failure, suggesting need for better ways of recognising and managing wicked problem situations. Human cognition is considered both as a limitation and enabler to decision-making in wicked problem environments. Naturalistic and deliberate decision-making are reviewed. The thesis identifies the need for integration of qualitative and quantitative techniques. Case study results and a review of the literature led to identification of a set of principles of method to be applied in an integrated framework, the aim being to develop an improved way of addressing wicked problems. These principles were applied to a series of cases in an action research setting. However, organisational and political barriers were encountered. This limited the exploitation and investigation of cases to varying degrees. In response to a need identified in the literature review and the case studies, a tool is designed to facilitate analysis of multi-factorial, non-linear causality. This unique tool and its use to assist in problem conceptualisation, and as an aid to testing alternate strategies, are demonstrated. Further investigation is needed in relation to the veracity of combining causal influences using this tool and system dynamics, broadly. System dynamics modelling was found to have utility needed to support analysis of wicked problems. However, failure in a particular modelling project occurred when it was found necessary to rely on human judgement in estimating values to be input into the models. This was found to be problematic and unacceptably risky for sponsors of the modelling effort. Finally, this work has also identified that further study is required into: the use of human judgement in decision-making and the validity of system dynamics models that rely on the quantification of human judgement.
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Towards an Ontology and Canvas for Strongly Sustainable Business Models: A Systemic Design Science Exploration13 September 2013 (has links)
An ontology describing the constructs and their inter-relationships for business models has recently been built and evaluated: the Business Model Ontology (BMO). This ontology has been used to conceptually power a popular practitioner visual design tool: the Business Model Canvas (BMC).
However, implicitly these works assume that designers of business models all have a singular normative goal: the creation of businesses that are financially profitable. These works perpetuate beliefs and businesses that do not create outcomes aligned with current natural and social science knowledge about long term individual human, societal and ecological flourishing, i.e. outcomes are not strongly sustainable. This limits the applicability and utility of these works.
This exploratory research starts to overcome these limitations: creating knowledge of what is required of businesses for strongly sustainable outcomes to emerge and helping business model designers efficiently create high quality (reliable, consistent, effective) strongly sustainable business models.
Based on criticism and review, this research project extends the BMO artefact to enable the description all the constructs and their inter-relationships related to a strongly sustainable business model. This results in the Strongly Sustainable Business Model Ontology (SSBMO). To help evaluate the SSBMO a practitioner visual design tool is also developed: the Strongly Sustainable Business Model Canvas (SSBMC).
Ontological engineering (from Artificial Intelligence), Design Science and Systems Thinking methodological approaches were combined in a novel manner to create the Systemic Design Science approach used to build and evaluate the SSBMO. Comparative analysis, interviews and case study techniques were used to evaluate the utility of the designed artefacts.
Formal 3rd party evaluation with 7 experts and 2 case study companies resulted in validation of the overall approaches used and the utility of the SSBMO. A number of opportunities for improvement, as well as areas for future work, are identified.
This thesis includes a number of supplementary graphics included in separate (electronic) files. See “List of Supplementary Materials” for details.
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An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-makingMcLucas, Alan Charles, Civil Engineering, Australian Defence Force Academy, UNSW January 2001 (has links)
System dynamics modelling has been used for around 40 years to address complex, systemic, dynamic problems, those often described as wicked. But, system dynamics modelling is not an exact science and arguments about the most suitable techniques to use in which circumstances, continues. The nature of these wicked problems is investigated through a series of case studies where poor situational awareness among stakeholders was identified. This was found to be an underlying cause for management failure, suggesting need for better ways of recognising and managing wicked problem situations. Human cognition is considered both as a limitation and enabler to decision-making in wicked problem environments. Naturalistic and deliberate decision-making are reviewed. The thesis identifies the need for integration of qualitative and quantitative techniques. Case study results and a review of the literature led to identification of a set of principles of method to be applied in an integrated framework, the aim being to develop an improved way of addressing wicked problems. These principles were applied to a series of cases in an action research setting. However, organisational and political barriers were encountered. This limited the exploitation and investigation of cases to varying degrees. In response to a need identified in the literature review and the case studies, a tool is designed to facilitate analysis of multi-factorial, non-linear causality. This unique tool and its use to assist in problem conceptualisation, and as an aid to testing alternate strategies, are demonstrated. Further investigation is needed in relation to the veracity of combining causal influences using this tool and system dynamics, broadly. System dynamics modelling was found to have utility needed to support analysis of wicked problems. However, failure in a particular modelling project occurred when it was found necessary to rely on human judgement in estimating values to be input into the models. This was found to be problematic and unacceptably risky for sponsors of the modelling effort. Finally, this work has also identified that further study is required into: the use of human judgement in decision-making and the validity of system dynamics models that rely on the quantification of human judgement.
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