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.
Displaying 1 - 10 of 86
Description
The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from the tweet's content alone. I propose a method of ranking tweets by generating a reputation score for each tweet that is based not just on content, but also additional information from the Twitter ecosystem that consists of users, tweets, and the web pages that tweets link to. This information is obtained by modeling the Twitter ecosystem as a three-layer graph. The reputation score is used to power two novel methods of ranking tweets by propagating the reputation over an agreement graph based on tweets' content similarity. Additionally, I show how the agreement graph helps counter tweet spam. An evaluation of my method on 16~million tweets from the TREC 2011 Microblog Dataset shows that it doubles the precision over baseline Twitter Search and achieves higher precision than current state of the art method. I present a detailed internal empirical evaluation of RAProp in comparison to several alternative approaches proposed by me, as well as external evaluation in comparison to the current state of the art method.
ContributorsRavikumar, Srijith (Author) / Kambhampati, Subbarao (Thesis advisor) / Davulcu, Hasan (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Buddhism is thriving in US-America, attracting many converts with college and post-graduate degrees as well as selling all forms of popular culture. Yet little is known about the communication dynamics behind the diffusion of Buddhist religious/spiritual traditions into the United States. Religion is an underexplored area of intercultural communication studies (Nakayama & Halualani, 2010) and this study meets the lacuna in critical intercultural communication scholarship by investigating the communication practices of US-Americans adopting Asian Buddhist religious/spiritual traditions. Ethnographic observations were conducted at events where US-Americans gathered to learn about and practice Buddhist religious/spiritual traditions. In addition, interviews were conducted with US-Americans who were both learning and teaching Buddhism. The grounded theory method was used for data analysis. The findings of this study describe an emerging theory of the paracultural imaginary -- the space of imagining that one could be better than who one was today by taking on the cultural vestments of (an)Other. The embodied communication dynamics of intercultural exchange that take place when individuals adopt the rituals and philosophies of a foreign culture are described. In addition, a self-reflexive narrative of my struggle with the silence of witnessing the paracultural imaginary is weaved into the analysis. The findings from this study extend critical theorizing on cultural identity, performativity, and cultural appropriation in the diffusion of traditions between cultural groups. In addition, the study addresses the complexity of speaking out against the subtle prejudices in encountered in intercultural communication.
ContributorsWong, Terrie Siang-Ting (Author) / de la Garza, Sarah Amira (Thesis advisor) / Margolis, Eric (Committee member) / Budruk, Megha (Committee member) / Chen, Vivian Hsueh-Hua (Committee member) / Arizona State University (Publisher)
Created2013
Description
Automating aspects of biocuration through biomedical information extraction could significantly impact biomedical research by enabling greater biocuration throughput and improving the feasibility of a wider scope. An important step in biomedical information extraction systems is named entity recognition (NER), where mentions of entities such as proteins and diseases are located within natural-language text and their semantic type is determined. This step is critical for later tasks in an information extraction pipeline, including normalization and relationship extraction. BANNER is a benchmark biomedical NER system using linear-chain conditional random fields and the rich feature set approach. A case study with BANNER locating genes and proteins in biomedical literature is described. The first corpus for disease NER adequate for use as training data is introduced, and employed in a case study of disease NER. The first corpus locating adverse drug reactions (ADRs) in user posts to a health-related social website is also described, and a system to locate and identify ADRs in social media text is created and evaluated. The rich feature set approach to creating NER feature sets is argued to be subject to diminishing returns, implying that additional improvements may require more sophisticated methods for creating the feature set. This motivates the first application of multivariate feature selection with filters and false discovery rate analysis to biomedical NER, resulting in a feature set at least 3 orders of magnitude smaller than the set created by the rich feature set approach. Finally, two novel approaches to NER by modeling the semantics of token sequences are introduced. The first method focuses on the sequence content by using language models to determine whether a sequence resembles entries in a lexicon of entity names or text from an unlabeled corpus more closely. The second method models the distributional semantics of token sequences, determining the similarity between a potential mention and the token sequences from the training data by analyzing the contexts where each sequence appears in a large unlabeled corpus. The second method is shown to improve the performance of BANNER on multiple data sets.
ContributorsLeaman, James Robert (Author) / Gonzalez, Graciela (Thesis advisor) / Baral, Chitta (Thesis advisor) / Cohen, Kevin B (Committee member) / Liu, Huan (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2013
Description
This study explored the motivation and persistence factors for non-professional athletes who decided after the age of 40 to begin training for an IRONMAN distance triathlon. The qualitative methodology of grounded theory (Strauss & Corbin, 1998) was used in conceptualizing and implementing the research. In-depth interviews were conducted with 10 individuals in the Southwest region of the United States. Data was coded in accordance with grounded theory methods. Motivation themes that emerged from the data centered around either initiating training for triathlon as an approach toward a specific goal or outcome, or beginning triathlon as a way to cope with personal difficulties. Obstacles to motivation also emerged, such as finances and time, injury, fear and doubt, and interpersonal difficulties. Persistence themes emerged that centered around either taking active steps to help continue training and relying on internal traits or characteristics to promote persistence. Data are discussed in terms of how these individuals adopt triathlon as a part of their lifestyle and identity, and how they come to persist in training beyond IRONMAN.
ContributorsLiddell, T. Michael (Author) / Claiborn, Charles (Thesis advisor) / Kinnier, Richard (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2013
Description
In the latter half of the nineteenth century, colleges and universities transformed their thinking of the body as they institutionalized physical education, recreational activities, and especially physical exercise. In this study, I examine the historical discourse on physical exercise and training during this period. I employ the theoretical and methodological practices of Michel Foucault's archeological and genealogical work to write a "history of the present." I challenge the essential narrative of physical fitness on college and university campuses. I also discuss nineteenth century notions of ethics and masculinity as a way of understanding twenty-first century ethics and masculinity. Ultimately, I use the historical discourse to argue that institutionalization of recreation and fitness centers and activities have less to do with health and well-being and more to do with disciplining bodies and controlling individuals.
ContributorsWells, Timothy (Author) / Carlson, David L. (Thesis advisor) / Sandlin, Jennifer (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2012
Description
In this study, the Arizona State University Mathematics and Science Teaching Fellows 2010 program was analyzed qualitatively from start to finish to determine the impact of the research experience on teachers in the classroom. The sample for the study was the 2010 cohort of eight high school science teachers. Erickson's (1986) interpretive, participant observational fieldwork method was used to report data by means of detailed descriptions of the research experience and classroom implementation. Data was collected from teacher documents, interviews, and observations. The findings revealed various factors that were responsible for an ineffective implementation of the research experience in the classroom such as research experience, curriculum support, availability of resources, and school curriculum. Implications and recommendations for future programs are discussed in the study.
ContributorsSen, Tapati (Author) / Baker, Dale (Thesis advisor) / Culbertson, Robert (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2012
Description
Data mining is increasing in importance in solving a variety of industry problems. Our initiative involves the estimation of resource requirements by skill set for future projects by mining and analyzing actual resource consumption data from past projects in the semiconductor industry. To achieve this goal we face difficulties like data with relevant consumption information but stored in different format and insufficient data about project attributes to interpret consumption data. Our first goal is to clean the historical data and organize it into meaningful structures for analysis. Once the preprocessing on data is completed, different data mining techniques like clustering is applied to find projects which involve resources of similar skillsets and which involve similar complexities and size. This results in "resource utilization templates" for groups of related projects from a resource consumption perspective. Then project characteristics are identified which generate this diversity in headcounts and skillsets. These characteristics are not currently contained in the data base and are elicited from the managers of historical projects. This represents an opportunity to improve the usefulness of the data collection system for the future. The ultimate goal is to match the product technical features with the resource requirement for projects in the past as a model to forecast resource requirements by skill set for future projects. The forecasting model is developed using linear regression with cross validation of the training data as the past project execution are relatively few in number. Acceptable levels of forecast accuracy are achieved relative to human experts' results and the tool is applied to forecast some future projects' resource demand.
ContributorsBhattacharya, Indrani (Author) / Sen, Arunabha (Thesis advisor) / Kempf, Karl G. (Thesis advisor) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Contemporary online social platforms present individuals with social signals in the form of news feed on their peers' activities. On networks such as Facebook, Quora, network operator decides how that information is shown to an individual. Then the user, with her own interests and resource constraints selectively acts on a subset of items presented to her. The network operator again, shows that activity to a selection of peers, and thus creating a behavioral loop. That mechanism of interaction and information flow raises some very interesting questions such as: can network operator design social signals to promote a particular activity like sustainability, public health care awareness, or to promote a specific product? The focus of my thesis is to answer that question. In this thesis, I develop a framework to personalize social signals for users to guide their activities on an online platform. As the result, we gradually nudge the activity distribution on the platform from the initial distribution p to the target distribution q. My work is particularly applicable to guiding collaborations, guiding collective actions, and online advertising. In particular, I first propose a probabilistic model on how users behave and how information flows on the platform. The main part of this thesis after that discusses the Influence Individuals through Social Signals (IISS) framework. IISS consists of four main components: (1) Learner: it learns users' interests and characteristics from their historical activities using Bayesian model, (2) Calculator: it uses gradient descent method to compute the intermediate activity distributions, (3) Selector: it selects users who can be influenced to adopt or drop specific activities, (4) Designer: it personalizes social signals for each user. I evaluate the performance of IISS framework by simulation on several network topologies such as preferential attachment, small world, and random. I show that the framework gradually nudges users' activities to approach the target distribution. I use both simulation and mathematical method to analyse convergence properties such as how fast and how close we can approach the target distribution. When the number of activities is 3, I show that for about 45% of target distributions, we can achieve KL-divergence as low as 0.05. But for some other distributions KL-divergence can be as large as 0.5.
ContributorsLe, Tien D (Author) / Sundaram, Hari (Thesis advisor) / Davulcu, Hasan (Thesis advisor) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2014
Description
Generally speaking, many programs of interior design have had a gender imbalance in the student population. As a case in point, the interior design program at Arizona State University (ASU) is at present ninety percent female. While other design programs such as architecture or industrial design have achieved gender balance, interior design has not. This research explores the reasons why male students are not enrolling in the interior design program at ASU and to what degree gender influences the selection of a major. The objectives of this research are to determine: 1) what role gender plays in the selection of interior design as a choice of a major at ASU; 2) why might male students be hesitant to join the interior design program; 3) why female students are attracted to interior design; 4) if there are gender differences in design approach; and 5) if curricular differences between interior architecture and interior design impact the gender imbalance. A mixed method approach is used in order to answer the research questions including: a literature review, a visual ethnography, and interviews of interior design students and faculty members at ASU. The results reveal that gender might have an effect on students' decision to join the interior design program. For a male student, people questioned his sexuality because they assumed he would have to be of a certain sexual orientation to study interior design. According to a male faculty member upon visiting a middle school on career day, young boys would be interested in the projects displayed at the interior design booth until they figured out what it was. Even at a young age, the boys seemed to know that interior design was a female's domain. A participant stated that women seemed to be less critical of the men's projects and were more critical of each other. A male respondent stated that on the occasion there were no men in the class the studio culture changed. Another stated that interior design students did not take feedback as well as others and need to be affirmed more often. Gender socialization, the history of interior design as a feminine career, and the title "interior design" itself are all possible factors that could deter male students from joining the program. The insights acquired from this research will provide students and faculty members from The Design School and beyond a better understanding of gender socialization and what the interior design program has to offer.
ContributorsRuff, Charlene (Author) / Giard, Jacques (Thesis advisor) / Heywood, William (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2014
Description
ABSTRACT This qualitative study examines how high school art teachers conceive of being a good art teacher. Motivated by my own experiences as an art teacher, I designed this study to add teachers' voices to the conversation surrounding quality in education. My research design included a narrative strand and an arts-based strand. In the narrative strand, I interviewed and observed 12 high school art educators from a major city in the southwest. I conducted an autoethnographic reflection exploring my connection to the research topic and research process. In the arts-based strand I used fiber-arts to further understand my topic. I wrote this dissertation using a narrative approach, blending the traditional research format, voices of participants, and my autoethnographic reflection. I included the results of my arts-based approach in the final chapter. Findings suggest that the teachers in this study conceptualize being a good art teacher as a process of identity construction. Each of the teachers understood what it meant to be a good art teacher in unique ways, connected to their personal experiences and backgrounds. As the teachers engaged in identity work to become the kind of art teacher they wanted to be, they engaged in a process of identity construction that consisted of four steps. I propose a model of identity construction in which the teachers chose teaching practices, evaluated those practices, identified challenges to their identities, and selected strategies to confirm, assert, or defend their desired identities. The findings have implications for teachers to become reflective practitioners; for teacher educators to prepare teachers to engage in reflective practices; and for administrators and policy makers to take into account the cyclical and personal nature of identity construction. This study also has implications for further research including the need to examine the dispositions of art teachers, teachers' evolving conceptions of what it means to be a good art teacher, and the effect labeling teachers' quality has on their identity construction.
ContributorsAndrelchik, Hillary (Author) / Erickson, Mary (Thesis advisor) / Young, Bernard (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2014