As the nature of work significantly transforms over the next several decades, engineering students today will play a major role in building and developing society. Both industry and academia position critical thinking skills and problem-solving abilities as central to the growing needs of developed and developing societies. Consequently, engineers will be paid in the future to solve complex problems. ABET (2021) standards indicate these ill-structured problems or complex engineering problems involve multiple factors outside of standard building codes or equations. Complex or socioscientific problems have no obvious solution pathway, multiple perspectives, and require a well-reasoned and argued solution. Thus, ill-structured problems emerge from situated and societal contexts in which various aspects of the context or problem space are undefined, unspecified, uncertain, or as Chen et al. (2019) describe, 'fuzzy'. Novice learners struggle with the inherent uncertainty embedded at all stages of the problem-solving process. Students need opportunities to grapple with the challenges of real-world problems, including the inherent uncertainties associated with them. In problem-solving situations learners often reject or avoid uncertainty and associated feelings of discomfort because traditional education provides few opportunities to confront these uncertainties in problem solving. Evidence suggests uncertainty becomes a productive or constructive experience when learners are forced to express, contend, grapple with, argue, and negotiate how and what they know with others. Thus, generation of uncertainty, or productive uncertainty, in problem-solving situations facilitates management of ambiguity and complexity through argumentation to, in turn, foster well-informed, confidently argued and supported solutions. The purpose of this study was to develop a framework to guide designers/instructors to facilitate learning using argumentation as a pedagogical tool to manage uncertainty. / Doctor of Philosophy / Work is changing across industries, and students today will play a major role in building the world of tomorrow by solving complex problems. Therefore, industry and education position critical thinking and problem-solving skills as crucial to developing an innovative workforce to prosper in the future. Moreso, engineers will play a major role in using critical thinking and problem-solving skills to solve complex problems. Essentially, engineers will be paid to solve these pressing problems. Complex problems, also known as socioscientific problems, are extremely uncertain - having no apparent solution, requiring multiple perspectives, and arriving at a feasible solution under constraints. Additionally, complex problems are impacted by multiple effects associated with cultural and social contexts, making these problems increasingly more 'fuzzy' or uncertain. Because uncertainty is a key part of complex problem solving, students need chances to grapple with these problems and unavoidable uncertainty, which is too often avoided. Uncertainty creates feelings of discomfort which learners seek to avoid or reduce. However, evidence indicates uncertainty can also be used productively. If students can embrace or learn to work within uncertainty, they can learn to argue, negotiate, reason, and solve problems more effectively. The act of collaboratively arguing, reasoning, sharing perspective, or negotiating (argumentation as a process) holds promise as an overarching practice which allows students to confront and manage uncertainty in problem solving. Therefore, this study aimed to position argumentation as a teaching tool to foster and manage productive moments of uncertainty while solving complex problems. The study resulted in a taxonomy of uncertainty sources and management strategies, and cognitive guidelines for designers and educators to use argumentation as a process to promote and manage uncertainty while learning to solve complex problems.

Identifying people in historical photographs is an important task in many fields, including history, journalism, genealogy, and collecting. A wide variety of different methods, such as manual analysis, facial recognition, and crowdsourcing, have been used to identify the unknown photos. However, because of the large numbers of candidates and the poor quality or lack of source evidence, accurate historical person identification still remains challenging. Researchers especially struggle with the ``last mile problem" of historical person identification, where they must make a selection among a small number of highly similar candidates. Collaboration, including both human-AI collaboration and collaboration within human teams, has shown the advantages of improving data accuracy, but there is lack of research about how we can design a collaborative workspace to support the historical person identification. In this work, we present SleuthTalk, a web-based collaboration tool integrated into the public website Civil War Photo Sleuth which addresses the last-mile problem in historical person identification by providing support for shortlisting potential candidates from face recognition results, private collaborative workspaces, and structured feedback interfaces. We evaluated this feature in a mixed-method study involving 6 participants, who spent one week each using SleuthTalk and a comparable social media platform to identify an unknown photo. The results of this study show how our design helps with identifying historical photos in a collaborative way and suggests directions for improvement in future work. / Master of Science / Identifying people in historical photographs is an important task in many fields, including history, journalism, genealogy, and collecting. A wide variety of different methods, such as manual analysis, facial recognition, and crowdsourcing, have been used to identify the unknown photos. However, because of the large numbers of candidates and the poor quality or lack of source evidence, accurate historical person identification still remains challenging. Researchers especially struggle with the ``last mile problem" of historical person identification, where they must make a selection among a small number of highly similar candidates. Collaboration, including both human-AI collaboration and collaboration within human teams, has shown the advantages of improving data accuracy, but there is lack of research about how we can design a collaborative workspace to support the historical person identification. In this work, we present SleuthTalk, a web-based collaboration tool integrated into the public website Civil War Photo Sleuth which addresses the last-mile problem in historical person identification by providing support for shortlisting potential candidates from face recognition results, private collaborative workspaces, and structured feedback interfaces. We evaluated this feature in a mixed-method study involving 6 participants, who spent one week each using SleuthTalk and a comparable social media platform to identify an unknown photo. The results of this study show how our design helps with identifying historical photos in a collaborative way and suggests directions for improvement in future work.

Since the inception of software engineering, the major goal has been to control the development and maintenance of reliable software. To this end, many different design methodologies have been presented as a means to improve software quality through semantic clarity and syntactic accuracy during the specification and design phases of the software life cycle. On the other end of the life cycle, software quality metrics have been proposed to supply quantitative measures of the resultant software. This study is an attempt to unify the two concepts by providing a means to determine the quality of a design before its implementation. / Master of Science

No / Little is known about the career decisions qualified nurses make, although it is clear that some areas of practice are more popular than others. This qualitative descriptive study considers one common area, surgery, and explores the motivation for decisions made by Registered Nurses (RNs) to work in this area. A sample of 16 RNs working within surgical areas participated in semi-structured interviews, using a thematic interview schedule. Findings were analysed using the framework suggested by Morse and Field. Analysis of findings indicates that all participants actively chose to work within surgery and that this was because of the pace and turnover of surgical work, personal satisfaction at the recovery of patients; the close links between this type of work; and participants' original aims when first entering nursing and participants' preference of surgery to other areas of nursing work. Participants actively rejected working in areas where patients were likely to suffer from chronic long-term conditions where recovery was unlikely and felt that these areas were likely to be depressing and unrewarding. These findings suggest that participants actively chose to work with 'healthy' patients in preference to those who may be considered 'ill', and this is closely linked to the identified need of participants to be able to 'make patients better'. Participants were reluctant to work in areas where they would be unlikely to achieve this aim.

Yes / The full-text of this article will be released for public view at the end of the publisher embargo, 6 months from first publication.

Quantitative phase Imaging(QPI) has emerged as a valuable tool for imaging specimens with weak scattering and absorbing abilities such as cells and tissues. It is complementary to fluorescence microscopy, as such, it can be applied to unlabelled specimens without the need for fluorescent tagging. By quantitatively mapping the phase changes induced in the incident light field by the optical path length delays of the specimen, QPI provides objective measurement of the cellular dynamics and enables imaging the specimen with high contrast. Transport of Intensity Equation(TIE) is a powerful computational tool for QPI because of its experimental and computational simplicity. Using TIE, the phase can be quantitatively retrieved from defocused intensity images. However, the resolution of the phase image computed using TIE is limited by the diffraction limit of the imaging system used to capture the intensity images. In this thesis, we have developed a super resolution phase imaging technique by applying the principles of Structured Illumination Microscopy(SIM) to Transport of Intensity phase retrieval. The modulation from the illumination shifts the high frequency components of the phase object into the system pass-band. This enables phase imaging with resolutions exceeding the diffraction limit. The proposed method is experimentally validated using a custom-made upright microscope. Because of its experimental and computational simplicity, the method in this thesis should find application in biomedical laboratories where super resolution phase imaging is required / Master of Science / Transport of Intensity Equation is a quantitative phase microscopy technique that enables imaging thin transparent specimens with high phase contrast using a through focus intensity stack. It provides speckle free imaging, compatibility with bright field microscopes and valid under partial coherence. However, the Optical Transfer Function(OTF) of the imaging system or the microscope acts a low pass filter, effectively limiting the maximum spatial frequency that can pass through the system. This reduces the spatial resolution of the computed phase image to the spatial diffraction limit. There has been a continuous drive to develop Super resolution techniques that will provide sub-diffraction resolutions because it will provide better insight into the cellular structure, morphology and composition. Structured Illumination Microscopy(SIM) is one such established technique. Existing work in super resolution phase imaging using SIM is exclusively limited to holography and interferometry based techniques. However, such methods require two-beam interference, illumination sources with high coherence, high experimental stability and phase unwrapping in the postprocessing step to retrieve the true object phase. In this work, we demonstrate a single beam propagation based super resolution phase imaging technique by applying structured illumination to Transport of Intensity Equation. It is valid under partial coherence, and does not require interference, simplifying the experimental and computational requirement. We have designed an upright microscope to demonstrate high resolution phase imaging of human cheek cells.

No / Excavation of the Schöningen lignite mine in Germany produced the earliest examples of hunting spears to date, and a large assemblage of anthropogenically fragmented faunal remains deposited in anaerobic lacustrine silt sediments during the Middle Pleistocene. The exceptional preservation of the assemblage makes the site of prime importance to our understanding of the behavioural, social and economic patterns of hominins in the Lower Palaeolithic of the Middle Pleistocene in Europe. This chapter describes the digital refitting analysis, part of the AHRC-funded Fragmented Heritage project, undertaken to address the logistical challenge posed by manually comparing individual bone fragments within the assemblage to identify refitting sequences. This logistical refit challenge uses the Schöningen assemblage to investigate the effectiveness of a digital refit approach to the analysis of large faunal assemblages. We describe the process from digitisation of the bone fragments by macro structured light scanning, digital segmentation of refitting surfaces, and digital comparison of the refitting and non-refitting surfaces to produce statistical matches. We discuss how taphonomic data can be visualised from the analysis and can be used to inform interpretation of the taphonomic histories of these faunal remains and the human behaviours associated with the formation of this unique assemblage. / The research was funded through an AHRC doctoral award as part of the AHRC Digital Transformations funded Theme Large Grant Fragmented Heritage (AH/L00688X/1) and through in-kind contributions from MONREPOS.

With the number of Asian immigrants continually increasing in New Zealand society, Asian immigrant businesses have been appearing more rapidly in New Zealand, particularly in Auckland. The primary purpose of this study is to enquire into why a certain Asian immigrant group become business people after migrating to Auckland, New Zealand. In addition, it investigates the level of their business activity and the level of happiness with their new life in New Zealand. This study examines the growing phenomenon of Asian immigrants, and the entrepreneurship rate of ethnic groups through existing statistics. The study focuses on Korean immigrants. Twenty self-employed Koreans who are running a business in Auckland participated in the study. They were invited to talk about why they became self-employed business people and related matters about their business activity. The study found that Korean immigrants chose self-employment as a means of getting a job. They gave up seeking mainstream employment opportunities due to the language barrier and their inability to cope with a new society and new system. Other fundamental factors in their decision to become entrepreneurs were that firstly, they were willing to invest a considerable amount of their own money and secondly, they preferred to participate in the workforce rather than to depend on the New Zealand welfare system. Based on the information acquired through the research, the study reported that the recently increased numbers of Asian businesses are partly attributable to New Zealand business immigration policy which introduced a new business category – Long Term Business Visa (LTBV). The findings from this research pointed to commitment that immigrant businesses contribute to the New Zealand economy and New Zealand society as taxpayers and potential employers.

With the number of Asian immigrants continually increasing in New Zealand society, Asian immigrant businesses have been appearing more rapidly in New Zealand, particularly in Auckland. The primary purpose of this study is to enquire into why a certain Asian immigrant group become business people after migrating to Auckland, New Zealand. In addition, it investigates the level of their business activity and the level of happiness with their new life in New Zealand. This study examines the growing phenomenon of Asian immigrants, and the entrepreneurship rate of ethnic groups through existing statistics. The study focuses on Korean immigrants. Twenty self-employed Koreans who are running a business in Auckland participated in the study. They were invited to talk about why they became self-employed business people and related matters about their business activity. The study found that Korean immigrants chose self-employment as a means of getting a job. They gave up seeking mainstream employment opportunities due to the language barrier and their inability to cope with a new society and new system. Other fundamental factors in their decision to become entrepreneurs were that firstly, they were willing to invest a considerable amount of their own money and secondly, they preferred to participate in the workforce rather than to depend on the New Zealand welfare system. Based on the information acquired through the research, the study reported that the recently increased numbers of Asian businesses are partly attributable to New Zealand business immigration policy which introduced a new business category – Long Term Business Visa (LTBV). The findings from this research pointed to commitment that immigrant businesses contribute to the New Zealand economy and New Zealand society as taxpayers and potential employers.

Thesis (M.App.Psy.)--University of Waikato, 2006. / Includes bibliographical references (leaves 44-51) Also available via the World Wide Web.