Digital Commons Network^™

Teacher Perceptions Of The Curricular Viability Of Missouri Learning Standards As Correlated To Student Outcomes On End-Of-Course Assessments, Kevin G. Lowery

Dissertations

Approved by the Missouri State Board of Education in 2016, the Missouri Learning Standards “define the knowledge and skills students need in each grade-level and course” (Missouri Department of Elementary and Secondary Education [MODESE], 2021g, About the Missouri Learning Standards section). State-mandated end-of-course assessments, such as the English II end-of-course assessment, are directly aligned to the Missouri Learning Standards and are administered in courses that have content associated with the standards (MODESE, 2021c). The purpose of this correlational study was to determine if significant relationships existed between teachers’ perceptions of the guaranteed and viable nature of Missouri Learning Standards and …

Career And Technical Education Students Advancing To Higher Education Through Faculty Mentoring, Joneane P. Davis

Dissertations

Purpose: The purpose of this phenomenological study was to identify and describe the career technical education (CTE) mentoring experiences of adult learners who completed an allied health certification and subsequently went on to pursue higher education such as a bachelor’s degree, from the lens of Zachary’s four phase mentoring model.

Methodology: Semi-structured interviews were conducted with adult former CTE learners who advanced to higher education. Through purposeful sampling, 10 participants were selected to participate in the interviews. The interviews were recorded and the recordings transcribed. The data were coded and analyzed for common themes.

Findings: The data …

Barriers, Enablers, And Strategies Influencing Female Leaders' Career Advancement In The Nuclear Industry, Anesa Davis

Dissertations

Women entering science, technology, engineering, and math (STEM) occupations increased by 19% between 1970 and 2019, but at 74% of the STEM workforce, men still dominate the field (Martinez & Christnacht, 2021). In the nuclear industry, this disparity is most apparent with few women holding leadership roles within nuclear organizations (Kovaleski, 2014; Gaspar & Dubertrand, 2019). While research suggests that companies with women leaders in the manager level through the board level excel in organizational performance (Catalyst, 2007), a problem exists for women when trying to promote to leadership positions, especially to the C-suite in STEM fields (Warner, 2014).

Findings …

Estimation Of Odds Ratio In 2 X 2 Contingency Tables With Small Cell Counts, Guohao Zhu

Dissertations

This study is focusing on properties of estimators of odds ratio or its logarithm in case of 2x2 tables with small counts. The odds ratio represents the odds that an outcome of interest will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure. Both parameters are often used to quantify the strength of association of two binary variables and are common measurements reported in case-control, cohort, and cross-sectional studies.

Because of their wide applicability, both parameters, odds ratio, and its logarithm, have been intensively studied in the literature. However, most …

The Role Of Neighborhood Factors In School Choice Decisions, Sarah Jefferson

Dissertations

No abstract provided.

Soliton Based All-Optical Data Processing In Waveguides, Amaria Javed

Dissertations

The growing demand for higher data processing speed and capacity motivates the replacement of the current electronic data processing by optical data processing in analogy with the successful replacement of electronic data communication by optical data communication. In a quest to achieve comprehensive optical data processing we aim at using solitons in waveguide arrays to perform all-optical data processing operations. Solitons are special nonlinear waves appreciated for their ability to conserve their shape and velocity before and after scattering. They are observed naturally in diverse fields of science, namely, nonlinear physics, mathematics, hydrodynamics, biophysics, and quantum field theory, etc. with …

A Mixed-Methods Investigation Of First-Year Learning Communities In A Private, Midwestern University, Elaine M. Ragland

Dissertations

In the 2017-2018 academic year, the School of Humanities of a private, Midwestern university began a pilot program of two first-year learning communities in the Fall, with an additional learning community in the Spring. Each learning community consisted of three theme-linked courses, for a total of nine courses over two semesters. As the study unfolded, the first and the third of the learning communities lived up to expectations of the faculty and administrators as communities of increased engagement and academic success. The second community struggled with engagement and both students and faculty felt that their theme-linked group failed to demonstrate …

Two For The Price Of One! A Study Of Persistence Of Adult Education Students Pursuing A High School Equivalency Credentiial And A Study Of The Researcher's Experience Conducting That Study., Jacqueline Lynch

Dissertations

This two-in-one study was an exploration of persistence. The quantitative study explored the relationship between the self-efficacy and persistence of adult learners pursuing a high school equivalency credential. Bandura’s theory of self-efficacy and Lewin’s Force Field Analysis offered an effective framework for considering this relationship. The findings of this study were statistically insignificant due to the low response rate.

The second study, a qualitative study, was added to understand my experience trying to gather data during the quantitative study and to explore the implications of data collection, sharing, and use in the adult education field. Resource Dependence Theory (RDT) and …

Exploring The Experiences Of African American Nurses: An Emancipatory Inquiry, Laurie Pierce

Dissertations

This inquiry provided a critical and in-depth analysis of African American nurses' situations within the context of the work environment. Through this examination, multiple oppressions were illuminated. Participants identified both personal experiences of oppression and oppression related to administrative and interdisciplinary hierarchies. Additionally, the participants provided their insights on the concept of empowerment. Definitions of empowerment included being a voice for self and others and empowering others is empowering to self. Thus, the concept of relational empowerment was explicated. Furthermore, the participants envisioned an ideal environment where administration is supportive of nurses, nurses have time to care for the patients, …

The Lived Experience Of Becoming A Professional Nurse For Associate Degree Nursing Graduates: A Phenomenological Study, Jean L. Hershey

Dissertations

This qualitative study used a hermeneutic phenomenological design to investigate the lived experience of becoming a professional nurse for associate degree nursing graduates. The study looked specifically at the process of acquiring a professional identity for associate degree nursing graduates. The theoretical frameworks of structural functionalism and reference group theory provided the lens which guided the study. Structural functionalism is a sociological perspective describing how groups reproduce themselves by creating members whose behaviors and values correspond to the established group norms. A reference group is the social group which an individual uses to define attitudes, beliefs, and values which the …

Controlling Degradation With Force And Light, Brad Davis

Dissertations

Stimuli-responsive polymers respond to changes in their environment by altering their physical and chemical properties. Their responsiveness allows them to be used as sensors, mechanical actuators, delivery systems, and can yield either elongated lifetimes through healing mechanisms or shortened lifetimes through triggered degradation. Still a growing field in polymer science, researchers seek to expand the capabilities of these materials by improving their specificity, range, and mechanisms of both the stimuli and the response. The work presented explores stimuli-responsive materials, focusing on mechanical and light stimuli, and how to gain control of the response by specific changes in the polymeric material. …

Associate And Baccalaureate Degree Nursing Students' Knowledge Of The Attitudes Toward Medication Errors And Reporting Medication Errors: Implications For Curriculum Development, Tabatha D. Teal

Dissertations

This paper evaluates senior nursing students' knowledge and attitudes of medication errors and reporting errors. This study was conducted to evaluate a need for improvements to nursing education on these two concepts. This mixed method study was conducted using a modified version of the Medication Administration Error Reporting Survey by Wakefield, Uden-Holman, and Wakefield (2005) and focus group sessions at four nursing programs in the Southern United States. Medication errors continue to be a threat to patient safety and underreporting exists due to the stigma surrounding admitting a mistake. Evaluating nursing students' knowledge and attitudes on these concepts is a …

A Quality Improvement Project: Evaluation Of Teach-Back Training On Medication Adherence In Hypertensive Older Veterans, Chelsea Hall-Mcarthur

Dissertations

Hypertension remains one of the most common yet uncontrolled chronic diseases among older adults. Medication adherence is a vital part in managing uncontrolled hypertension. The purpose of this QI project was to evaluate the effectiveness of using the teach-back method on improving anti-hypertension medication adherence of hypertensive older adult patients age 65 to 75 with at least two uncontrolled blood pressure readings during their most recent clinic visit in the past 6 months. Medication adherence was assessed using the Hill-Bone Medication Adherence Scale (HB-MAS) before and after the intervention. Health literacy scores were also recorded prior to the intervention using …

Critical Behavior In Evolutionary And Population Dynamics, Stephen Ordway

Dissertations

This study is an exploration of phase transition behavior in evolutionary and population dynamics, and techniques for predicting population changes, across the disciplines of physics, biology, and computer science. Under the looming threat of climate change, it is imperative to understand the dynamics of populations under environmental stress and to identify early warning signals of population decline. These issues are explored here in (1) a computational model of evolutionary dynamics, (2) an experimental system of decaying populations under environmental stress, and (3) a machine learning approach to predict population changes based on environmental factors. Through the lens of critical phase …

A Mixed Methods Analysis Of The Relationship Between Independent Study Teachers’ Emotional Intelligence And At-Risk Students Academic Success, Stephanie Niemeyer

Dissertations

Purpose: The purpose of this sequential explanatory mixed methods study was to determine the relationship between independent study charter schoolteachers’ emotional intelligence (EQ) scores, as measured by the Schutte Self-Report Emotional Intelligence Test (SSEIT), and the number of credits earned in a learning period by their students. An additional purpose was to describe how independent study high school teachers perceive their ability to model the EQ attributes of self-awareness, self-regulation, internal motivation, empathy, and social skill (Goleman, 2006) influences student credit completion.

Methodology: This study used a mixed methods approach to collect quantitative and qualitative data from highly qualified independent …

A Grounded Theory Analysis Of Black African International Students’ Racial Identity Development, Maame Coleman

Dissertations

This study was designed to explore how Black African international students develop an understanding of their racial identity within the U.S. context. Although there has been considerable previous theoretical and empirical work examining the process of racial identity development (e.g. Cross, 1971; Sellers et al.1998), which has provided foundation for how we continue to understand how U.S. racial minorities develop their racial identities. However, there is a paucity of research on the racial identity development process of non-U.S. born Black people (Hocoy, 1999; Asante, 2012). Even less is known about the role that intersectionality of other identities plays in the …

Colloidal Quantum Dot (Cqd) Based Mid-Wavelength Infrared Optoelectronics, Shihab Bin Hafiz

Dissertations

Colloidal quantum dot (CQD) photodetectors are a rapidly emerging technology with a potential to significantly impact today’s infrared sensing and imaging technologies. To date, CQD photodetector research is primarily focused on lead-chalcogenide semiconductor CQDs which have spectral response fundamentally limited by the bulk bandgap of the constituent material, confining their applications to near-infrared (NIR, 0.7-1.0 um) and short-wavelength infrared (SWIR, 1-2.5 um) spectral regions. The overall goal of this dissertation is to investigate a new generation of CQD materials and devices that advances the current CQD photodetector research toward the technologically important thermal infrared region of 3-5 ?m, known as …

On Non-Linear Network Embedding Methods, Huong Yen Le

Dissertations

As a linear method, spectral clustering is the only network embedding algorithm that offers both a provably fast computation and an advanced theoretical understanding. The accuracy of spectral clustering depends on the Cheeger ratio defined as the ratio between the graph conductance and the 2nd smallest eigenvalue of its normalizedLaplacian. In several graph families whose Cheeger ratio reaches its upper bound of Theta(n), the approximation power of spectral clustering is proven to perform poorly. Moreover, recent non-linear network embedding methods have surpassed spectral clustering by state-of-the-art performance with little to no theoretical understanding to back them.

The dissertation includes work …

Advances In Modeling Gas Adsorption In Porous Materials For The Characterization Applications, Max A. Maximov

Dissertations

The dissertation studies methods for mesoporous materials characterization using adsorption at various levels of scale and complexity. It starts with the topic introduction, necessary notations and definitions, recognized standards, and a literature review.

Synthesis of novel materials requires tailoring of the characterization methods and their thorough testing. The second chapter presents a nitrogen adsorption characterization study for silica colloidal crystals (synthetic opals). These materials have cage-like pores in the range of tens of nanometers. The adsorption model can be described within a macroscopic approach, based on the Derjaguin-Broekhoff-de Boer (DBdB) theory of capillary condensation. A kernel of theoretical isotherms is …

Exploring, Understanding, Then Designing: Twitter Users’ Sharing Behavior For Minor Safety Incidents, Mashael Yousef Almoqbel

Dissertations

Social media has become an integral part of human lives. Social media users resort to these platforms for various reasons. Users of these platforms spend a lot of time creating, reading, and sharing content, therefore, providing a wealth of available information for everyone to use. The research community has taken advantage of this and produced many publications that allow us to better understand human behavior. An important subject that is sometimes discussed and shared on social media is public safety. In the past, Twitter users have used the platform to share incidents, share information about incidents, victims and perpetrators, and …

Gradient Free Sign Activation Zero One Loss Neural Networks For Adversarially Robust Classification, Yunzhe Xue

Dissertations

The zero-one loss function is less sensitive to outliers than convex surrogate losses such as hinge and cross-entropy. However, as a non-convex function, it has a large number of local minima, andits undifferentiable attribute makes it impossible to use backpropagation, a method widely used in training current state-of-the-art neural networks. When zero-one loss is applied to deep neural networks, the entire training process becomes challenging. On the other hand, a massive non-unique solution probably also brings different decision boundaries when optimizing zero-one loss, making it possible to fight against transferable adversarial examples, which is a common weakness in deep learning …

Solar Flares As Observed In The Low Frequency Microwave Gyrosynchrotron Emission, Shaheda Begum Shaik

Dissertations

Solar flares involve the sudden catastrophic release of magnetic energy stored in the Sun’s corona. This dissertation focuses on investigating the low frequency, optically-thick gyrosynchrotron emission during solar flares for its spatial and spectral dynamics, characteristics, and role in the flare process.

The first part of this dissertation first addresses the spectral dynamics and characteristics of the source morphology. The high-resolution spectra of a set of microwave bursts observed by the Expanded Owens Valley Solar Array (EOVSA) during its commissioning phase in the 2.5-18 GHz frequency range with 1-s time resolution are presented here. Out of the 12 events analyzed …

Multi-Stage Stochastic Optimization And Reinforcement Learning For Forestry Epidemic And Covid-19 Control Planning, Sabah Bushaj

Dissertations

This dissertation focuses on developing new modeling and solution approaches based on multi-stage stochastic programming and reinforcement learning for tackling biological invasions in forests and human populations. Emerald Ash Borer (EAB) is the nemesis of ash trees. This research introduces a multi-stage stochastic mixed-integer programming model to assist forest agencies in managing emerald ash borer insects throughout the U.S. and maximize the public benets of preserving healthy ash trees. This work is then extended to present the first risk-averse multi-stage stochastic mixed-integer program in the invasive species management literature to account for extreme events. Significant computational achievements are obtained using …

Towards Adversarial Robustness With 01 Lossmodels, And Novel Convolutional Neural Netsystems For Ultrasound Images, Meiyan Xie

Dissertations

This dissertation investigates adversarial robustness with 01 loss models and a novel convolutional neural net systems for vascular ultrasound images.

In the first part, the dissertation presents stochastic coordinate descent for 01 loss and its sensitivity to adversarial attacks. The study here suggests that 01 loss may be more resilient to adversarial attacks than the hinge loss and further work is required.

In the second part, this dissertation proposes sign activation network with a novel gradient-free stochastic coordinate descent algorithm and its ensembling model. The study here finds that the ensembling model gives a high minimum distortion (as measured by …

Stochastic Programming And Agent-Based Simulation Approaches For Epidemics Control And Logistics Planning, Xuecheng Yin

Dissertations

This dissertation addresses the resource allocation challenges of fighting against infectious disease outbreaks. The goal of this dissertation is to formulate multi-stage stochastic programming and agent-based models to address the limitations of former literature in optimizing resource allocation for preventing and controlling epidemics and pandemics. In the first study, a multi-stage stochastic programming compartmental model is presented to integrate the uncertain disease progression and the logistics of resource allocation to control a highly contagious infectious disease. The proposed multi-stage stochastic program, which involves various disease growth scenarios, optimizes the distribution of treatment centers and resources while minimizing the total expected …

Modeling Dewetting, Demixing, And Thermal Effects In Nanoscale Metal Films, Ryan Howard Allaire

Dissertations

Thin film dynamics, particularly on the nanoscale, is a topic of extensive interest. The process by which thin liquids evolve is far from trivial and can lead to dewetting and drop formation. Understanding this process involves not only resolving the fluid mechanical aspects of the problem, but also requires the coupling of other physical processes, including liquid-solid interactions, thermal transport, and dependence of material parameters on temperature and material composition. The focus of this dissertation is on the mathematical modeling and simulation of nanoscale liquid metal films, which are deposited on thermally conductive substrates, liquefied by laser heating, and subsequently …

Modeling And Design Optimization For Membrane Filters, Yixuan Sun

Dissertations

Membrane filtration is widely used in many applications, ranging from industrial processes to everyday living activities. With growing interest from both industrial and academic sectors in understanding the various types of filtration processes in use, and in improving filter performance, the past few decades have seen significant research activity in this area. Experimental studies can be very valuable, but are expensive and time-consuming, therefore theoretical studies offer potential as a cost-effective and predictive way to improve on current filter designs. In this work, mathematical models, derived from first principles and simplified using asymptotic analysis, are proposed for: (1) pleated membrane …

Shale Softening Based On Pore Network And Laboratory Investigations, Di Zhang

Dissertations

This dissertation consists of two major parts: Firstly, experimental investigation of four major shale softening mechanisms and quantifications of structural parameters. Secondly, numerical simulations of nano-scale flow behaviors using the previous experiments determined parameters based on modified pore network modeling.

Hydraulic fracturing is widely applied to economical gas production from shale reservoirs. Still, the gradual swelling of the clay micro/nano-pores due to retained fluid from hydraulic fracturing causes a gradual reduction of gas production. Four different gas-bearing shale samples are investigated to quantify the expected shale swelling due to hydraulic fracturing. These shale samples are subject to heated deionized (DI) …

Data-Driven Learning For Robot Physical Intelligence, Leidi Zhao

Dissertations

The physical intelligence, which emphasizes physical capabilities such as dexterous manipulation and dynamic mobility, is essential for robots to physically coexist with humans. Much research on robot physical intelligence has achieved success on hyper robot motor capabilities, but mostly through heavily case-specific engineering. Meanwhile, in terms of robot acquiring skills in a ubiquitous manner, robot learning from human demonstration (LfD) has achieved great progress, but still has limitations handling dynamic skills and compound actions. In this dissertation, a composite learning scheme which goes beyond LfD and integrates robot learning from human definition, demonstration, and evaluation is proposed. This method tackles …

Participatory Learning: Measuring Learning And Educational Technology Acceptance, Erick Sanchez Suasnabar

Dissertations

Participatory Learning (PL) integrates several learning approaches, engaging students throughout the entire assignment process for both online and face-to-face courses. Beyond simply providing a solution, students also craft a problem (problem-based learning), grade each other (peer assessment and feedback), evaluate themselves (self-assessment), and can view others’ work (learning by example). This dissertation research explores the resulting learning effects. Contributions to both educational and Information Systems research include extending an early PL model and experiments that applied the PL approach to examinations, by validating and testing new constructs based on user activity and critical thinking. In addition, the study explores a …