ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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Description
Many products undergo several stages of testing ranging from tests on individual components to end-item tests. Additionally, these products may be further "tested" via customer or field use. The later failure of a delivered product may in some cases be due to circumstances that have no correlation with the product's inherent quality. However, at times, there may be cues in the upstream test data that, if detected, could serve to predict the likelihood of downstream failure or performance degradation induced by product use or environmental stresses. This study explores the use of downstream factory test data or product field reliability data to infer data mining or pattern recognition criteria onto manufacturing process or upstream test data by means of support vector machines (SVM) in order to provide reliability prediction models. In concert with a risk/benefit analysis, these models can be utilized to drive improvement of the product or, at least, via screening to improve the reliability of the product delivered to the customer. Such models can be used to aid in reliability risk assessment based on detectable correlations between the product test performance and the sources of supply, test stands, or other factors related to product manufacture. As an enhancement to the usefulness of the SVM or hyperplane classifier within this context, L-moments and the Western Electric Company (WECO) Rules are used to augment or replace the native process or test data used as inputs to the classifier. As part of this research, a generalizable binary classification methodology was developed that can be used to design and implement predictors of end-item field failure or downstream product performance based on upstream test data that may be composed of single-parameter, time-series, or multivariate real-valued data. Additionally, the methodology provides input parameter weighting factors that have proved useful in failure analysis and root cause investigations as indicators of which of several upstream product parameters have the greater influence on the downstream failure outcomes.
ContributorsMosley, James (Author) / Morrell, Darryl (Committee member) / Cochran, Douglas (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Roberts, Chell (Committee member) / Spanias, Andreas (Committee member) / Arizona State University (Publisher)
Created2011
Description
This study utilized symbolic interaction as a framework to examine the impact of mobility on four veteran elementary general music teachers' identities, roles, and perceptions of role support. Previous research has focused on teacher identity formation among preservice and novice teachers; veteran teachers are less frequently represented in the literature. Teacher mobility research has focused on student achievement, teachers' reasons for moving, and teacher attrition. The impact of mobility on veteran teachers' identities, roles, and perceptions of role support has yet to be considered. A multiple case design was employed for this study. The criteria for purposeful selection of the participants were elementary general music teachers who had taught for at least ten years, who had changed teaching contracts and taught in at least two different schools, and who were viewed as effective music educators by fine arts coordinators. Data were collected over a period of eight months through semi-structured interviews, email correspondence, observations, review of videotapes of the participants' teaching in previous schools, and collection of artifacts. Data were analyzed within and across cases. The cross-case analysis revealed themes within the categories of identity, role, and role support for the participants. The findings suggest that the participants perceived their music teacher roles as multi-dimensional. They claimed their core identities remained stable over time; however, shifts in teacher identity occurred throughout their years as teachers. The participants asserted that mobility at the start of their careers had a positive impact because they each were challenged to solidify their own teacher identities and music teacher roles in varied school contexts. Mobility negatively impacted role and teacher practices during times when the participants adjusted to new school climates and role expectations. Role support varied depending upon school context, and the participants discovered active involvement in the school community was an effective means of seeking and acquiring role support. Reflection experiences in music teacher preparation programs, as well as mentoring and professional development geared toward teacher identity formation and role maturation, may assist teachers in matching their desired school context with their teacher identities and perceptions of the music teacher role.
ContributorsGray, Lori F (Author) / Stauffer, Sandra (Committee member) / Schmidt, Margaret (Committee member) / Sullivan, Jill (Committee member) / Bush, Jeffrey (Committee member) / Tobias, Evan (Committee member) / Arizona State University (Publisher)
Created2011
Description
Infectious diseases are a leading cause of death worldwide. With the development of drugs, vaccines and antibiotics, it was believed that for the first time in human history diseases would no longer be a major cause of mortality. Newly emerging diseases, re-emerging diseases and the emergence of microorganisms resistant to existing treatment have forced us to re-evaluate our optimistic perspective. In this study, a simple mathematical framework for super-infection is considered in order to explore the transmission dynamics of drug-resistance. Through its theoretical analysis, we identify the conditions necessary for the coexistence between sensitive strains and drug-resistant strains. Farther, in order to investigate the effectiveness of control measures, the model is extended so as to include vaccination and treatment. The impact that these preventive and control measures may have on its disease dynamics is evaluated. Theoretical results being confirmed via numerical simulations. Our theoretical results on two-strain drug-resistance models are applied in the context of Malaria, antimalarial drugs, and the administration of a possible partially effective vaccine. The objective is to develop a monitoring epidemiological framework that help evaluate the impact of antimalarial drugs and partially-effective vaccine in reducing the disease burden at the population level. Optimal control theory is applied in the context of this framework in order to assess the impact of time dependent cost-effective treatment efforts. It is shown that cost-effective combinations of treatment efforts depend on the population size, cost of implementing treatment controls, and the parameters of the model. We use these results to identify optimal control strategies for several scenarios.
ContributorsUrdapilleta, Alicia (Author) / Castillo-Chavez, Carlos (Thesis advisor) / Wang, Xiaohong (Thesis advisor) / Wirkus, Stephen (Committee member) / Camacho, Erika (Committee member) / Arizona State University (Publisher)
Created2011
Description
More than 30% of college entrants are placed in remedial mathematics (RM). Given that an explicit relationship exists between students' high school mathematics and college success in science, technology, engineering, and mathematical (STEM) fields, it is important to understand RM students' characteristics in high school. Using the Education Longitudinal Survey 2002/2006 data, this study evaluated more than 130 variables for statistical and practical significance. The variables included standard demographic data, prior achievement and transcript data, family and teacher perceptions, school characteristics, and student attitudinal variables, all of which are identified as influential in mathematical success. These variables were analyzed using logistic regression models to estimate the likelihood that a student would be placed into RM. As might be expected, student test scores, highest mathematics course taken, and high school grade point average were the strongest predictors of success in college mathematics courses. Attitude variables had a marginal effect on the most advantaged students, but their effect cannot be evaluated for disadvantaged students, due to a non-random pattern of missing data. Further research should concentrate on obtaining answers to the attitudinal questions and investigating their influence and interaction with academic indicators.
ContributorsBarber, Rebecca (Author) / Garcia, David R. (Thesis advisor) / Powers, Jeanne (Committee member) / Rodrigue Mcintyre, Lisa (Committee member) / Arizona State University (Publisher)
Created2011
Description
Diseases have been part of human life for generations and evolve within the population, sometimes dying out while other times becoming endemic or the cause of recurrent outbreaks. The long term influence of a disease stems from different dynamics within or between pathogen-host, that have been analyzed and studied by many researchers using mathematical models. Co-infection with different pathogens is common, yet little is known about how infection with one pathogen affects the host's immunological response to another. Moreover, no work has been found in the literature that considers the variability of the host immune health or that examines a disease at the population level and its corresponding interconnectedness with the host immune system. Knowing that the spread of the disease in the population starts at the individual level, this thesis explores how variability in immune system response within an endemic environment affects an individual's vulnerability, and how prone it is to co-infections. Immunology-based models of Malaria and Tuberculosis (TB) are constructed by extending and modifying existing mathematical models in the literature. The two are then combined to give a single nine-variable model of co-infection with Malaria and TB. Because these models are difficult to gain any insight analytically due to the large number of parameters, a phenomenological model of co-infection is proposed with subsystems corresponding to the individual immunology-based model of a single infection. Within this phenomenological model, the variability of the host immune health is also incorporated through three different pathogen response curves using nonlinear bounded Michaelis-Menten functions that describe the level or state of immune system (healthy, moderate and severely compromised). The immunology-based models of Malaria and TB give numerical results that agree with the biological observations. The Malaria--TB co-infection model gives reasonable results and these suggest that the order in which the two diseases are introduced have an impact on the behavior of both. The subsystems of the phenomenological models that correspond to a single infection (either of Malaria or TB) mimic much of the observed behavior of the immunology-based counterpart and can demonstrate different behavior depending on the chosen pathogen response curve. In addition, varying some of the parameters and initial conditions in the phenomenological model yields a range of topologically different mathematical behaviors, which suggests that this behavior may be able to be observed in the immunology-based models as well. The phenomenological models clearly replicate the qualitative behavior of primary and secondary infection as well as co-infection. The mathematical solutions of the models correspond to the fundamental states described by immunologists: virgin state, immune state and tolerance state. The phenomenological model of co-infection also demonstrates a range of parameter values and initial conditions in which the introduction of a second disease causes both diseases to grow without bound even though those same parameters and initial conditions did not yield unbounded growth in the corresponding subsystems. This results applies to all three states of the host immune system. In terms of the immunology-based system, this would suggest the following: there may be parameter values and initial conditions in which a person can clear Malaria or TB (separately) from their system but in which the presence of both can result in the person dying of one of the diseases. Finally, this thesis studies links between epidemiology (population level) and immunology in an effort to assess the impact of pathogen's spread within the population on the immune response of individuals. Models of Malaria and TB are proposed that incorporate the immune system of the host into a mathematical model of an epidemic at the population level.
ContributorsSoho, Edmé L (Author) / Wirkus, Stephen (Thesis advisor) / Castillo-Chavez, Carlos (Thesis advisor) / Chowell-Puente, Gerardo (Committee member) / Arizona State University (Publisher)
Created2011
Description
The discipline of rhetoric and composition established the Writing Program Administrators Outcomes Statement (WPA OS) to fulfill a general expectation about the skills and knowledge students should be able to demonstrate by the end of first-year composition. Regardless of pedagogy used, academic preparation of the teacher, or preference of particular topics or types of assignments, the WPA OS is versatile. This dissertation employs a problem-solution argument showcasing methods to improve assignments through intentional use of the WPA OS for a fluid conversation throughout first-year composition and a more clear articulation of course goals. This dissertation includes summation, analysis, and synthesis of documents that inform first-year composition curriculum from foundational organizations within the field, including National Council of Teachers of English, Council of Writing Program Administrators, National Writing Project, and Conference on College Composition and Communication. This study uses the WPA OS as a lens to examine and revise writing assignments that aid in students' comprehension of the WPA OS with particular focus on the areas of rhetorical knowledge and critical thinking, reading, and writing. Framing assignment design with theoretically grounded content and the use of common topics throughout first-year composition is one way to operationalize the WPA OS. Using common topics throughout course content presents opportunities for teachers to include detailed scaffolding in assignments that expand students' literate practices and engage students as critical thinkers and writers. This study explores how using the topic of family, a common topic to all students, provides a rich bank of social, historical, and cultural elements for research and writing. The topic of family seamlessly employs multimodal composition, which presents students with opportunities for developing rhetorical knowledge and expanding students' literacies. This dissertation displays evidence of praxis of the WPA OS from assignment development to presentation of student samples. This study recommends the use of common topics and intentional application of the WPA OS to construct assignments that clearly articulate learning goals in first-year composition.
ContributorsRankins-Robertson, Sherry, 1976- (Author) / Roen, Duane H. (Thesis advisor) / Miller, Keith (Committee member) / Lauer, Claire (Committee member) / Arizona State University (Publisher)
Created2011
Description
A new method of adaptive mesh generation for the computation of fluid flows is investigated. The method utilizes gradients of the flow solution to adapt the size and stretching of elements or volumes in the computational mesh as is commonly done in the conventional Hessian approach. However, in the new method, higher-order gradients are used in place of the Hessian. The method is applied to the finite element solution of the incompressible Navier-Stokes equations on model problems. Results indicate that a significant efficiency benefit is realized.
ContributorsShortridge, Randall (Author) / Chen, Kang Ping (Thesis advisor) / Herrmann, Marcus (Thesis advisor) / Wells, Valana (Committee member) / Huang, Huei-Ping (Committee member) / Mittelmann, Hans (Committee member) / Arizona State University (Publisher)
Created2011
Description
Higher education institutions in the state of Arizona have experienced a reduction in government funding due to the economic challenges the state is facing combined with an ongoing national recession. Three higher education institutions studied are located in Phoenix, Arizona. The three higher education institutions are Phoenix College, Arizona State University and The University of Phoenix. An analysis of documents made public by each institution was conducted and high level administrators at each institution were interviewed to learn about revenue streams currently active and planned. The results of this set of analyses were presented to the leadership team of Phoenix College in a three-hour strategic planning and priority setting meeting. The action research study assisted Phoenix College administrators in gaining knowledge about and initiating action plans to increase revenue through entrepreneurial strategies. Increased funding is necessary to offset reductions in state aid and property tax revenues. Implementing entrepreneurial strategies to increase funding can promote self-reliance and flexibility and can mitigate the damage to institutional mission success that is threatened by reductions in traditional funding. The strategic planning and priority setting exercise conducted at Phoenix College produced three immediate outcomes: it informed the community of practice about entrepreneurial strategies to increase funding that are in use by higher education institutions located in greater Phoenix, Arizona; it influenced the community of practice to examine entrepreneurial revenue streams and; it committed the leadership team to pursuing and enlarging three additional revenue streams.
ContributorsKakar, Casandra Gwen (Author) / Clark, Christopher M. (Thesis advisor) / De Los Santos Jr., Alfredo G. (Committee member) / Giovannini, Eugene (Committee member) / Arizona State University (Publisher)
Created2011
Description
The purpose of this study was to help increase success for first-generation Latina students at Arizona State University by providing a group mentoring support experience during the spring semester of their sophomore year. Thirteen first-generation Latinas in their sophomore year were recruited from the Obama Scholars Program at Arizona State University. These students participated in one or two 90-minute group mentoring intervention sessions during the spring semester of their sophomore year and responded to reflection questions at the end of each session. Additional data were collected through e-journaling and field notes to document the mentoring process and the short-term effects of the group mentoring intervention. Study participants named three themes as critical to their college success: college capital, confidence, and connections. Participants also reported that the intervention of group mentoring sessions helped them increase their knowledge of available resources, feel more confident about their remaining years in college, make connections with other first-generation Latinas, and convinced them to recommit themselves to working hard for immediate academic success to achieve their goal of becoming the first in their families to become a college graduate.
ContributorsGolden, Amy Edith (Author) / Clark, Christopher M. (Thesis advisor) / Wilkinson, Christine Kajikawa (Committee member) / Duplissis, Mark (Committee member) / Arizona State University (Publisher)
Created2011
Description
To sustain world preeminence, 21st century university and college leaders in the United States are redesigning their institutions organizationally and culturally to align with the direction of local and global societies and markets. The New American University enterprise model at Arizona State University has become one of the leading organization and cultural redesigns in United States higher education since its inception in 2002. Yet, sustaining a 21st century model such as this one means every individual in the college or university must understand his or her specific role to further progress the new model forward. Therefore, to advance and sustain a 21st century higher education redesign model at a U.S. college or university, it becomes imperative that every master-level professional who works in the academic/student services field at the institution understand his or her specific role in helping to further progress the new model forward. To this end, there is a need to change the way graduate students in higher education/student affairs masters programs are educated to work in the 21st century institution. This change can prepare new professionals to understand these enterprise models and how to integrate them into their practice in order to meet the needs of the institution, local and global societies and markets. The purpose of this action research study is to highlight one program, the ASU M.Ed. Higher and Postsecondary program, and show how graduates from 2007 - 2011 understand New American University concepts and integrate them into professional practice within higher education. Through use of a quantitative approach, this action research study described how the ASU M.Ed. in Higher and Postsecondary program graduate students' understanding of New American University concepts informs their thinking and practice to lead and respond to changes and challenges facing today's 21st century higher education field.
ContributorsAntonucci, Mark J (Author) / Ewing, Kris M (Thesis advisor) / Denke, Mark (Committee member) / Rund, James (Committee member) / Arizona State University (Publisher)
Created2011