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Description
Despite significant advances in digital pathology and automation sciences, current diagnostic practice for cancer detection primarily relies on a qualitative manual inspection of tissue architecture and cell and nuclear morphology in stained biopsies using low-magnification, two-dimensional (2D) brightfield microscopy. The efficacy of this process is limited by inter-operator variations in sample preparation and imaging, and by inter-observer variability in assessment. Over the past few decades, the predictive value quantitative morphology measurements derived from computerized analysis of micrographs has been compromised by the inability of 2D microscopy to capture information in the third dimension, and by the anisotropic spatial resolution inherent to conventional microscopy techniques that generate volumetric images by stacking 2D optical sections to approximate 3D. To gain insight into the analytical 3D nature of cells, this dissertation explores the application of a new technology for single-cell optical computed tomography (optical cell CT) that is a promising 3D tomographic imaging technique which uses visible light absorption to image stained cells individually with sub-micron, isotropic spatial resolution. This dissertation provides a scalable analytical framework to perform fully-automated 3D morphological analysis from transmission-mode optical cell CT images of hematoxylin-stained cells. The developed framework performs rapid and accurate quantification of 3D cell and nuclear morphology, facilitates assessment of morphological heterogeneity, and generates shape- and texture-based biosignatures predictive of the cell state. Custom 3D image segmentation methods were developed to precisely delineate volumes of interest (VOIs) from reconstructed cell images. Comparison with user-defined ground truth assessments yielded an average agreement (DICE coefficient) of 94% for the cell and its nucleus. Seventy nine biologically relevant morphological descriptors (features) were computed from the segmented VOIs, and statistical classification methods were implemented to determine the subset of features that best predicted cell health. The efficacy of our proposed framework was demonstrated on an in vitro model of multistep carcinogenesis in human Barrett's esophagus (BE) and classifier performance using our 3D morphometric analysis was compared against computerized analysis of 2D image slices that reflected conventional cytological observation. Our results enable sensitive and specific nuclear grade classification for early cancer diagnosis and underline the value of the approach as an objective adjunctive tool to better understand morphological changes associated with malignant transformation.
ContributorsNandakumar, Vivek (Author) / Meldrum, Deirdre R (Thesis advisor) / Nelson, Alan C. (Committee member) / Karam, Lina J (Committee member) / Ye, Jieping (Committee member) / Johnson, Roger H (Committee member) / Bussey, Kimberly J (Committee member) / Arizona State University (Publisher)
Created2013
Description
We solve the problem of activity verification in the context of sustainability. Activity verification is the process of proving the user assertions pertaining to a certain activity performed by the user. Our motivation lies in incentivizing the user for engaging in sustainable activities like taking public transport or recycling. Such incentivization schemes require the system to verify the claim made by the user. The system verifies these claims by analyzing the supporting evidence captured by the user while performing the activity. The proliferation of portable smart-phones in the past few years has provided us with a ubiquitous and relatively cheap platform, having multiple sensors like accelerometer, gyroscope, microphone etc. to capture this evidence data in-situ. In this research, we investigate the supervised and semi-supervised learning techniques for activity verification. Both these techniques make use the data set constructed using the evidence submitted by the user. Supervised learning makes use of annotated evidence data to build a function to predict the class labels of the unlabeled data points. The evidence data captured can be either unimodal or multimodal in nature. We use the accelerometer data as evidence for transportation mode verification and image data as evidence for recycling verification. After training the system, we achieve maximum accuracy of 94% when classifying the transport mode and 81% when detecting recycle activity. In the case of recycle verification, we could improve the classification accuracy by asking the user for more evidence. We present some techniques to ask the user for the next best piece of evidence that maximizes the probability of classification. Using these techniques for detecting recycle activity, the accuracy increases to 93%. The major disadvantage of using supervised models is that it requires extensive annotated training data, which expensive to collect. Due to the limited training data, we look at the graph based inductive semi-supervised learning methods to propagate the labels among the unlabeled samples. In the semi-supervised approach, we represent each instance in the data set as a node in the graph. Since it is a complete graph, edges interconnect these nodes, with each edge having some weight representing the similarity between the points. We propagate the labels in this graph, based on the proximity of the data points to the labeled nodes. We estimate the performance of these algorithms by measuring how close the probability distribution of the data after label propagation is to the probability distribution of the ground truth data. Since labeling has a cost associated with it, in this thesis we propose two algorithms that help us in selecting minimum number of labeled points to propagate the labels accurately. Our proposed algorithm achieves a maximum of 73% increase in performance when compared to the baseline algorithm.
ContributorsDesai, Vaishnav (Author) / Sundaram, Hari (Thesis advisor) / Li, Baoxin (Thesis advisor) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of professional development is to enhance educator practices so that students may achieve at high levels. Too often, professional development tends to be too broad, general, or unrelated to problems of practice that teachers face in their own classrooms. This action research project builds upon the scholarly research that recognizes the need for professional development to be sustained, connected to teachers' own contexts, focused on specific subject matter, collaborative, and reflective. The goal of this action research study was to facilitate a culture of continuous improvement in teaching and learning by utilizing a model of professional development that challenges teachers to question their practices, utilize research to support their instruction, design an inquiry project that supports a change in practice, and examine changes in student growth. Results suggest that although teachers recognize the complexities that surround professional development, they found that this professional development model focused on their needs as professionals, was sustained over time, and was supported by a variety of professional influences. As a result of the model implemented, teachers reported shifts in their instructional practices and student growth related to personal inquiry projects.
ContributorsHudak, Michele (Author) / Roe, Mary (Thesis advisor) / Weber, Catherine (Committee member) / Chalex, Nancy (Committee member) / Arizona State University (Publisher)
Created2013
Assessment of a model for the evaluation of professional non-instruction staff in elementary schools
Description
The purpose of this study was to help improve the evaluation system for school counselors and school psychologists, or non-instructional, certified staff (NICS). A mixed methodology approach was used to describe the existing evaluation system used to evaluate NICS; to develop a new system of evaluation based on recent research; and to determine how administrators, NICS, and experts in the field will respond to this new evaluation system that can assess both school counselors and school psychologists. This study employed change theory to bring about change within a single school district by assessing current practices in the evaluation of NICS, developing a new evaluation system for implementation in the district, and evaluating that system to refine it before full implementation. The study found that administrators did not hold a positive opinion of the current evaluation system's accuracy in assessing NICS, thereby promoting a reason for change. The results of this research suggest that the new system would enhance performance, improve support services, clarify goals and expectations, and provide appropriate and accurate feedback on performance. The findings indicate that the participants responded positively to the new evaluation system, and they hold a more positive opinion of the new system. The majority agreed the current system should be replaced with the new system. The recommendations of this study include developing action plans which follow from applying an action change model to the implementation of the new NICS evaluation system. In addition, in order for the system to evolve it must be piloted, continuing the action research process to revise the system as the implementation process is monitored and evaluated.
ContributorsHlavaty, Erica A (Author) / Lawton, Stephen (Thesis advisor) / Heck, Thomas (Thesis advisor) / Ventura, Mário (Committee member) / Arizona State University (Publisher)
Created2013
Description
Answer Set Programming (ASP) is one of the most prominent and successful knowledge representation paradigms. The success of ASP is due to its expressive non-monotonic modeling language and its efficient computational methods originating from building propositional satisfiability solvers. The wide adoption of ASP has motivated several extensions to its modeling language in order to enhance expressivity, such as incorporating aggregates and interfaces with ontologies. Also, in order to overcome the grounding bottleneck of computation in ASP, there are increasing interests in integrating ASP with other computing paradigms, such as Constraint Programming (CP) and Satisfiability Modulo Theories (SMT). Due to the non-monotonic nature of the ASP semantics, such enhancements turned out to be non-trivial and the existing extensions are not fully satisfactory. We observe that one main reason for the difficulties rooted in the propositional semantics of ASP, which is limited in handling first-order constructs (such as aggregates and ontologies) and functions (such as constraint variables in CP and SMT) in natural ways. This dissertation presents a unifying view on these extensions by viewing them as instances of formulas with generalized quantifiers and intensional functions. We extend the first-order stable model semantics by by Ferraris, Lee, and Lifschitz to allow generalized quantifiers, which cover aggregate, DL-atoms, constraints and SMT theory atoms as special cases. Using this unifying framework, we study and relate different extensions of ASP. We also present a tight integration of ASP with SMT, based on which we enhance action language C+ to handle reasoning about continuous changes. Our framework yields a systematic approach to study and extend non-monotonic languages.
ContributorsMeng, Yunsong (Author) / Lee, Joohyung (Thesis advisor) / Ahn, Gail-Joon (Committee member) / Baral, Chitta (Committee member) / Fainekos, Georgios (Committee member) / Lifschitz, Vladimir (Committee member) / Arizona State University (Publisher)
Created2013
Description
Community college students are attracted to courses with alternative delivery formats such as hybrid courses because the more flexible delivery associated with such courses provides convenience for busy students. In a hybrid course, face-to-face, structured seat time is exchanged for online components. In such courses, students take more responsibility for their learning because they assume additional responsibility for learning more of the course material on their own. Thus, self-regulated learning (SRL) behaviors have the potential to be useful for students to successfully navigate hybrid courses because the online components require exercise of more personal control over the autonomous learning situations inherent in hybrid courses. Self-regulated learning theory includes three components: metacognition, motivation, and behavioral actions. In the current study, this theoretical framework is used to examine how inducing self-regulated learning activities among students taking a hybrid course influence performance in a community college science course. The intervention for this action research study consisted of a suite of activities that engage students in self-regulated learning behaviors to foster student performance. The specific SRL activities included predicting grades, reflections on coursework and study efforts in course preparation logs, explanation of SRL procedures in response to a vignette, photo ethnography work on their personal use of SRL approaches, and a personalized study plan. A mixed method approach was employed to gather evidence for the study. Results indicate that community college students use a variety of self-regulated learning strategies to support their learning of course material. Further, engaging community college students in learning reflection activities appears to afford some students with opportunities to refine their SRL skills and influence their learning. The discussion focuses on integrating the quantitative and qualitative data and explanation of the findings using the SRL framework. Additionally, lessons learned, limitations, and implications for practice and research are discussed. Specifically, it is suggested that instructors can foster student learning in hybrid courses by teaching students to engage in SRL processes and behaviors rather than merely focusing on delivery of course content. Such SRL behaviors allow students to exercise greater control over the autonomous learning situations inherent in hybrid courses.
ContributorsManuelito, Shannon Joy (Author) / Buss, Ray R. (Thesis advisor) / Smith, Rachel (Committee member) / Barnett, Joshua (Committee member) / Arizona State University (Publisher)
Created2013
Description
ABSTRACT A review of studies selected from the Educational Resource Information Center (ERIC) covering the years 1985 through 2011 revealed three key evaluation components to analyze within a comprehensive teacher evaluation program: (a) designing, planning, and implementing instruction; (b) learning environments; and (c) parent and peer surveys. In this dissertation, these three components are investigated in the context of two research questions: 1. What is the relationship, if any, between comprehensive teacher evaluation scores and student standardized test scores? 2. How do teachers and administrators experience the comprehensive evaluation process and how do they use their experiences to inform instruction? The methodology for the study included a mixed-method case study at a charter school located in a middle-class neighborhood within a large metropolitan area of the southwestern United States, which included a comparison of teachers' average evaluation scores in the areas of instruction and environment, peer survey scores, parent survey scores, and students' standardized test (SST) benchmark scores over a two-year period as the quantitative data for the study. I also completed in-depth interviews with classroom teachers, mentor teachers, the master teacher, and the school principal; I used these interviews for the qualitative portion of my study. All three teachers had similar evaluation scores; however, when comparing student scores among the teachers, differences were evident. While no direct correlations between student achievement data and teacher evaluation scores are possible, the qualitative data suggest that there were variations among the teachers and administrators in how they experienced or "bought into" the comprehensive teacher evaluation, but they all used evaluation information to inform their instruction. This dissertation contributes to current research by suggesting that comprehensive teacher evaluation has the potential to change teachers' and principals' perceptions of teacher evaluation as inefficient and unproductive to a system that can enhance instruction and ultimately improve student achievement.
ContributorsBullock, Donna (Author) / Mccarty, Teresa (Thesis advisor) / Powers, Jeanne (Thesis advisor) / Stafford, Catherine (Committee member) / Arizona State University (Publisher)
Created2013
Description
Legislative changes and discussions about the United States falling further and further behind other nations in science, technology, engineering, and math (STEM) achievement are growing. As they grow, STEM instruction in elementary school has earned its place as a national area of interest in education. In the case of Ivory School District, teachers are being asked to radically change their daily practices by consistently implementing inquiry-based STEM experiences in their classrooms. As such, teachers are being asked to scale a divide between the district expectations and their knowledge and experience. Many fourth grade educators are teachers who have been trained as generalists and typically do not have specific background or experience in the philosophy, instructional strategies, or content associated with STEM. Using a prototype approach, this study aims to understand how such teachers conceptualize STEM instruction and the relationship between their experience and conceptions.
ContributorsKenney, Meghan (Author) / Fischman, Gustavo (Thesis advisor) / Powers, Jeanne (Committee member) / Rasch, Katherine D (Committee member) / Arizona State University (Publisher)
Created2013
Description
This study investigates the effectiveness of the use of Concept-Based Instruction (CBI) to facilitate the acquisition of Spanish mood distinctions by second semester second language learners of Spanish. The study focuses on the development of Spanish mood choice and the types of explanations (Rule-of-Thumb vs. Concept-based) used by five students before and after being exposed to Concept-Based Instruction regarding the choice of Spanish mood following various modalities .The students in this study were presented with a pedagogical treatment on Spanish mood choice that included general theoretical concepts based on Gal'perin's (1969, 1992) didactic models and acts of verbalization, which form part of a Concept-Based pedagogical approach. In order to ascertain the effectiveness of the use of concept-based tools to promote the ability to use Spanish mood appropriately over time, a pre and post-test was administered to the group in which students were asked to respond to prompts containing modalities that elicit the indicative and subjunctive moods, indicate their level of confidence in their response, and verbalize in writing a reason for their choice. The development of these abilities in learners exposed to CBI was assessed by comparing pre and post-test scores examining both forms and explanations for the indicative and subjunctive modality prompts given. Results showed that students continued to rely on Rule-of-Thumb explanations of mood choice but they did expand their use of conceptually-based reasoning. Although the quantitative and qualitative analyses of the results indicate that most students did improve their ability to make appropriate mood choices (forms and explanations) after the CBI treatment, the increased use of conceptually-based explanations for their mood choices led to both correct and incorrect responses.
ContributorsBeus, Eric (Author) / Lafford, Barbara (Thesis advisor) / Beas, Omar (Committee member) / Cerron-Palomino, Alvaro (Committee member) / Arizona State University (Publisher)
Created2013
Description
The signing of the No Child Left Behind Act in 2001 created a need for Title 1 principals to conceptualize and operationalize parent engagement. This study examines how three urban principals in Arizona implemented the mandates of the Act as it pertains to parent involvement. The purpose of this qualitative case study is to examine how principals operationalize and conceptualize parent involvement as they navigate barriers and laws particular to the state of Arizona. This study sought to understand issues surrounding parent involvement in Title 1 schools in Arizona. The beliefs and interview dialogue of the principals as it pertains to parent engagement provided an understanding of how urban principals in Arizona implement the aspects of No Child Left Behind Act that deal with parent involvement. The research study concluded that parents have community cultural wealth that contributes to the success of the students of engaged parents and that cultural responsive leadership assists principals with engaging parents in their schools. The research concludes that a gap exists between how parents and principals perceive and construct parent engagement versus what is prescribed in No Child Left Behind Act.
ContributorsConley, Loraine (Author) / Brayboy, Bryan (Thesis advisor) / Mccarty, Teresa (Committee member) / Scott, Kimberly (Committee member) / Arizona State University (Publisher)
Created2012