Burning The Wick At Both Ends: A Three Paper Investigation Of Burnout And Educators, Karla P. Miner

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Researchers in the late 20th century identified the impact of burnout on organizational and individual success. The urgency to address burnout in education has intensified following the disruptions caused by the COVID-19 pandemic. Teacher burnout, characterized by exhaustion, cynicism, and feelings of inadequacy, has been a commonly discussed topic among educators internationally following the COVID-19 pandemic. Recent studies highlight the alarming rates of burnout among educators, emphasizing the need for targeted interventions to support well-being and mitigate educator attrition. This collection of papers addresses three primary aspects of burnout and practice: a literature review of individual and organizational practice, a …

Revolutionizing Digital Privacy Education For Older Adults: Enhanced Interventions And Ai-Assisted Learning Strategies, Heba Aly

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As older adults increasingly engage with digital platforms, they face unique privacy risks stemming from limited digital literacy, reduced trust in AI technologies, and constrained access—especially in rural or underserved communities. While digital tools offer benefits like social connection and information access, current privacy education efforts often neglect the needs of older adults. This dissertation addresses this gap by developing, testing, and refining digital privacy education interventions tailored for older adults, with a focus on trust, personalization, and AI-assisted learning.

Study 1 evaluates multiple instructional modalities across age groups, revealing older adults prefer structured videos and interactive tutorials, while younger …

A Study On The Propagation And Exploitation Of Structured Light In Underwater Turbulence, Jaxon P. Wiley

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The development and optimization of optical systems will play a pivotal role in the continued exploration and exploitation of the world’s underwater environments. These systems offer advantages in many sectors, and includes applications in areas such as high-speed communication, advanced sensing and imaging, and environmental characterization and monitoring. Underwater environments offer a plethora of challenges, however, and mitigating these obstacles remains an arduous task. In this work, the inherent advantages of structured light are leveraged to optimize optical system performance through non-ideal underwater conditions. Additionally, fundamental relationships between the generation of specified structured modes and their interactions with complex environments …

Multiple View Neural Regression Of A Facial Shape Model, Xiang Li

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Creating re-topologized 3D facial meshes is a critical step in high-quality facial animation pipelines, yet it remains a labor-intensive and time-consuming task. Traditional approaches typically rely on multiview stereo reconstruction and specialized photometric environments to acquire accurate geometric and reflectance data under controlled conditions. This dissertation presents work toward more efficient capture of production-ready meshes including (1) developmental aspects of VarIS, a custom-designed light sphere capable of capturing high-resolution stereo geometry and reflectance maps—including diffuse, specular, and normal components under programmable illumination; (2) a study of the effects of camera parameters on automatic 2D and 3D landmarking methods, (3) methods …

Strategic Implications Of Responses To Security And Privacy Challenges, Shivan Bhatt

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This dissertation investigates strategic implications of information security and privacy for organizations and society in the contexts of ransomware and mobile apps. The first study examines how organizations’ disclosures of responses to ransomware attacks affect ransomware strain survival. Ransomware attacks force organizations to make consequential decisions regarding disclosure—whether to reveal ransom payments, negotiation attempts, or coordination with external stakeholders. This study investigates how these disclosure choices influence the survival of ransomware strains. Drawing on disclosure theory and institutional theory, we theorize that disclosure behavior is shaped by dual logics and audiences: strategic signaling towards attackers and institutional conformity aimed at …

Designing Multilingual (Maker) Spaces: Exploring The Intersections Of Play, Posthumanism, And Pre-Kindergarten, Victoria G. Pennington

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In this dissertation, I explore the posthuman play literacies of multilingual makerspaces with four-year-olds, emphasizing the need for such a study while situating my arguments within the existing literature and outlining my methodological approach. Chapter One critiques the public 4-year-old kindergarten systems, arguing institutionalized cultural and linguistic ideologies restrict multilingual learners’ (MLs) opportunities for meaning-making. I draw on the raciolinguistic perspective (Flores & Rosa, 2015) and its intersection with a posthumanist paradigm (Braidotti, 2013), framing my research questions as lines of inquiry to guide the study. Key posthumanist literacies concepts are defined, highlighting the entanglement of literacies, discourses, materials, and …

Engaging Minds: Assessing The Impact Of Arts-Integration On Science Achievement And Engagement Using Planned Experimentation, Fonda G. Dupre

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Elementary science education is essential for fostering inquiry, critical thinking, and problem-solving, yet it is often reduced or deprioritized due to the pressures of high-stakes testing in reading and mathematics. Despite federal calls for a well-rounded education under the Every Student Succeeds Act (2015), instructional time for science remains limited in many schools, particularly in under-resourced and high-poverty contexts. This reduction of science instruction time exacerbates achievement gaps and limits student engagement and interest in STEM fields.

This planned experiment investigates whether Arts-Integrated science instruction can increase student engagement and improve academic achievement among fourth-grade students at Foothills Academy of …

Advancing Life Cycle Assessment For Environmental Sustainability Of Carbon Fiber-Reinforced Polymer Composites (Cfrps)), Hao Chen

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Carbon fiber-reinforced polymer composites (CFRPs) have emerged as promising materials, particularly for lightweight applications, with the potential to reduce environmental impacts across multiple sectors, including automotive, aerospace, and renewable energy. However, fully realizing their sustainability potential requires a more comprehensive and context-specific understanding of their environmental performance throughout the entire life cycle—from raw material production to end-of-life management.

This dissertation advances life cycle assessment (LCA) practices for CFRPs by addressing key challenges across multiple phases of the CFRP life cycle. First, I conducted a critical review and meta-analysis of carbon fiber manufacturing, revealing substantial variability in reported data on energy …

Influence Of Experience And Risk With Natural Hazards On Geoscience Interest And Career Expectations, Shannon Conner

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Understanding student interest in geoscience is important, as it has the potential to inform departmental decisions such as the selection of classroom examples and marketing strategies to attract new geoscience majors. Recruitment to geoscience is critical to address future social and environmental challenges. Our work may also provide insight into how to approach persistent recruitment problems within departments, such as student enrollment and the lack of diversity within the geosciences. This work involves developing a geoscience interest scale, integrating geospatial and educational data sets related to hazard risk and interest, and an exploring career motivations as related to natural hazard …

Effects Of Lossy Compression Data On Machine Learning Models, Max H. Faykus Iii

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Machine learning is a fundamental tool that is incorporated in every field across academia and other industries. Due to the large amount of data needed for training machine learning models, lossy compression plays a crucial role in storing data. Machine learning involves the use of algorithms and models to learn patterns in data. This allows the AI to make decisions without specific programming. On the other hand, compression utilizes encoding and decoding techniques to reduce the size of files. Compression is either lossy or lossless, lossy causes a loss of data while lossless preserves the data. This dissertation will explore …

More Than Numbers: Interrogating The Instructional Capacity Of Middle School Mathematics Teachers, Yashica R. Latimer

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This study examines how middle school mathematics teachers conceptualize and enact culturally responsive mathematics teaching (CRMT) within a district-supported professional learning initiative. Guided by the CRMT framework developed by Aguirre and Zavala (2013), the research explores how instructional decision-making intersects with equity-focused pedagogy.

Two central questions inform the study: (1) How do middle school mathematics teachers interpret and apply CRMT principles in their classroom practice? (2) What specific instructional strategies do teachers use to integrate cultural responsiveness into their instruction?

Using a qualitative multiple-case study design, data were collected from three teachers participating in a professional learning group called MORE …

From Pencil To Pixel: How Leadership Shapes Organizational Responses To Competence-Destroying Technological Change, Jennifer Underwood

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This dissertation examines how managerial leadership enables organizations to overcome inertia during competence-destroying technological change through a historical comparative case analysis of the animation industry's transition from hand-drawn to computer-generated imagery (CGI) between 1980-2000. Drawing on archival data from Disney, Pixar, and Don Bluth Studios, I identify three distinct leadership approaches—pioneering, bridging, and preserving—that differently influenced how workforces adjusted their views of identity, process, and change. These adjustments led to three different outcomes: transformative integration, constrained adoption, and entrenched resistance. This research makes three theoretical contributions and develops a novel framework that explains how leadership can constrain or enable transformation, …

Exploring The Effects Of Remote Work On Leadership Pipelines: With A Focus On Professional Women And Minorities, Mark S. Andrekovich

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I analyzed data from five U.S.-based companies to understand how remote work models affect leadership advancement. Using Role Congruity, Status Characteristics, and Intersectionality theories, I analyzed five hypotheses about the impact of remote work on leadership pipelines. Two of the five hypotheses were supported, revealing bias patterns rather than issues related to remote work. For instance, white employees had greater access to remote work opportunities than non-white employees, who had fewer promotions despite similar performance scores. Contrary to expectations, I found that remote work does not inherently affect promotional advancements. Via a post hoc analysis, I found that hybrid professionals …

Increasing Student Enrollment In The Dual-Language Mandarin Immersion Program: Leveraging Marketing And Outreach Within A Strategic Enrollment Management Framework, Na Zhang

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This study examines the impact of marketing and outreach strategies on enhancing family awareness and increasing enrollment in a Dual-Language Mandarin Immersion (DLMI) program in South Carolina. The history of bilingual education has shown an increased interest in recent decades. At the same time, Mandarin immersion programs continue to face challenges and under-enrollment. This study employs a mixed-methods design to collect data from surveys and interviews with parents of children entering kindergarten. The data collection also includes interviews with Mandarin Immersion teachers and attending community events. The purpose is to identify effective practices and ongoing barriers to enrollment. Informed by …

Transforming Childhood Adversity Into Executive Excellence: Impact On Firm Performance, Kimberly Byars

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Many successful business leaders have overcome difficult childhoods, yet little research has examined how early hardships might actually contribute to leadership effectiveness. This study investigated whether CEOs who experienced childhood adversity can transform these difficult experiences into strengths that improve their companies' performance.

The research surveyed 165 business owners across two groups: general business owners and automotive dealership owners. Participants answered questions about their childhood experiences, their ability to grow from trauma, and various psychological traits like grit, mental toughness, resilience, and growth mindset. Company performance data was also collected.

The findings challenge conventional wisdom that difficult childhoods necessarily harm …

Organizational Metamorphosis: When Artificial Intelligence Transforms Companies Into New Economic Life Forms, Allan M. Glass

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Traditional theories of organizational change fall short in explaining how artificial intelligence (AI) transforms organizations. This grounded theory study, based on interviews with 34 organizational leaders, identifies a novel phenomenon: organizational metamorphosis - the irreversible transformation of organizations into fundamentally new entities through deep integration with AI as a cognitive partner.

The metamorphosis process unfolds in three phases. Individual Awakening occurs when leaders experience powerful interactions with AI, prompting a rapid shift from skepticism to advocacy. Once a critical mass of leaders undergo this shift, it initiates Organizational Restructuring, characterized by reimagined work design, boundary dissolution, and altered temporal rhythms. …

Evaluating The Impact Of Medicaid Expansion On Non-Small Cell Lung Cancer Care And Health Disparities, Marvin Idoteyin Okon

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Persistent disparities in non-small cell lung cancer (NSCLC) outcomes reflect broader structural inequities shaped by race, place, and socioeconomic conditions. This dissertation examined trends in NSCLC outcomes over the past two decades and evaluated the impact of Medicaid Expansion (ME) under the Affordable Care Act on improving outcomes and reducing disparities, especially in marginalized communities.

Using nationally representative datasets, three interrelated studies were conducted. The first assessed trends in NSCLC incidence, early-stage diagnosis, and 3-year survival from 2002-2021, stratified by metropolitan status, deprivation (Social Deprivation Index), and segregation (Index of Concentration at the Extremes). While incidence declined and early-stage diagnosis …

Melts To Solutions: Structure, Dynamics, And Response Of Polyelectrolytes, Shalika Meedin

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The current research elucidates the changes in the structure and motion of polyelectrolytes as they are perturbed by solvents and shear flows. Polyelectrolytes are macromolecules whose backbone consists of long, predominantly hydrocarbon chains, substituted by ionizable groups, which tend to dissociate into ions in polar solvents. Their properties result from a delicate balance of elastic energy that arises from the polymeric backbone and electrostatic forces, which stem from the ionizable groups. Though polyelectrolytes have an immense potential to propel numerous technologies, from clean energy to drug delivery systems, understanding the delicate balance between the properties of the polymer backbone and …

Bringing To Life Our Mission And Vision: The Role Of Professional Development In Instructional Technology, Katherine I. Britton

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Despite improved access to digital tools and increased demand to prepare students for the 21st-century workforce, K-12 educators still have difficulty balancing technology, pedagogy, and content in the classroom. In the rural school district of Pleasant County, there is variation in the utilization of instructional technology to engage students as content creators, collaborators, critical thinkers, and communicators. This problem was substantiated as evidenced by the study of the Effective Learning Observation Tool, which identified the domain of engaging, learning-centered instruction as an area of opportunity for the district, with the lowest score in digital learning (Cognia, 2023). In this study, …

Accurate Temporal Integration Schemes For Nonlinear Adsorption Problems, Evan D. Butterworth

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We consider a nonlinear transport problem to model the chromatography process of high-capacity multimodal membranes. Robust and efficient algorithms that simulate these bioseparation processes are critical to developing therapeutics for various chronic illnesses and infectious diseases. However, much of the current methodology focuses on stabilization and linearization techniques, often implementing low-order time-discretizations and linearized adsorption, resulting in inefficiencies and inaccuracies in the numerical solution. Utilizing Rothe's method, we develop various time-discretization schemes coupled with the finite element method to solve the fully implicit problems. Stability and solvability results are presented for several methods. Through multiple high-level software implementations paired with …

Evaluating Covid-19, Influenza, And Rsv Vaccine Effectiveness, Iromi N. Jayawardena

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Respiratory infectious diseases, including COVID-19, influenza, and RSV, pose significant public health challenges, especially during the respiratory virus season. Vaccination remains the primary intervention to mitigate morbidity and mortality associated with these diseases. Vaccine effectiveness (VE) can vary between seasons and populations, necessitating continuous evaluation. This study aims to evaluate the effectiveness of the 2024-2025 COVID-19 mRNA vaccine, 2024-2025 seasonal influenza vaccine, and single-dose RSV vaccine over two seasons.

Utilizing electronic health records (EHRs) from the Prisma Health healthcare system, this dissertation emulated target trials to assess the vaccine effectiveness of each vaccine. Risk set propensity matching was used to …

Exploring The Impact Of Co-Teaching On High School Math Achievement For Students With Disabilities, Josh T. Oxendine

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This Dissertation in Practice explores the implementation of a co-teaching model in Algebra 1 classrooms at Green High School, part of the Excellent School District. The study was conducted due to the persistent underperformance among students with disabilities (SWD) on the Algebra 1 End of Course test, which led to the school’s designation as an Additional Targeted Support and Improvement (ATSI) site by the South Carolina Department of Education. Developed using the principles of improvement science, the study utilized the Plan-Do-Study-Act (PDSA) cycle as a framework to guide and evaluate change.

The change idea centered on embedding co-teaching in two …

Culturally Relevant Pedagogy In Undergraduate General Chemistry, Destinee J. Cooper

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General chemistry is a foundational course for advancement in most undergraduate STEM programs, but unfortunately, many students do not continue in STEM after their experiences in their general chemistry course. Culturally relevant pedagogy (CRP) has the potential to increase students’ positive experiences in general chemistry by centering their needs, identities, and backgrounds. However, this pedagogical approach has not been widely studied in the college general chemistry context. As such, my four-paper dissertation broadly aimed to explore both the implementation and outcomes of CRP in undergraduate general chemistry.

The first paper reviewed the literature on culture-based pedagogies across the full undergraduate …

Towards Securing Ai Systems: Investigating Threats In Multimodal Autonomous Driving & Rag Systems, Saket Sanjeev Chaturvedi

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Artificial Intelligence (AI) systems have become central to high-stakes applications such as autonomous driving and language-based decision support. As their deployment accelerates, ensuring the security and trustworthiness of these systems becomes paramount. Among the most stealthy and potent threats are backdoor attacks, where models behave as expected under normal conditions but exhibit malicious behavior when triggered by specific inputs, either digital or physical.

This thesis investigates novel backdoor and adversarial vulnerabilities across two emerging classes of AI architectures: (1) multimodal 3D object detection systems that fuse LiDAR and camera data, and (2) Retrieval-Augmented Generation (RAG) systems that pair large language …

Exploring Teacher Decision-Making Based On 4k Children’S Emotional Observations And Narratives: A Multiple Case Study, Keith Johnston

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The benefits of quality social-emotional instruction in early childhood programs are well established. The crux of delivering these benefits lies in teacher social-emotional decision-making in early childhood classrooms. While there is scant research on the topic, there is evidence that decentralizing social-emotional decision-making can help teachers achieve better outcomes by including families and other early childhood professionals, using data to inform decisions, and reviewing research. The current study is a multi-case qualitative analysis of two 4K teachers from a child development center in the South Carolina Upstate. It describes how the two subjects use social-emotional decision-making to support their students’ …

Black Women Policymakers And Black Feminist Approaches In United States Gender-Based Violence Policies: Analyzing Policy Making, Institutional, And Social Media Discourse Through The Narrative Policy Framework, Gugu Selela

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This research study examines how gender-based violence (GBV) policy in the United States marginalizes Black women through race-neutral language and punitive frameworks. Despite facing disproportionate violence, Black women are often excluded from policy narratives, debates, and institutional priorities. Grounded in Black Feminist Thought and the Narrative Policy Framework, this study investigates how exclusion operates across legislative, digital, and institutional domains, and how Black women in public service resist and reshape GBV policy through care-centered, survivor-informed practices. Focusing on the U.S. South, the study uses a qualitative, multi-method design. It analyzes ninety-three Senate committee transcripts from South Carolina, North Carolina, and …

Constructing Code-Based Zero-Knowledge Proofs Leveraging Generic Errors And Bounded Vectors, Freeman Slaughter

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Quantum computing is developing at an expeditious rate, and once fully scalable quantum computers become realized, classical cryptographic systems face obsolescence. This approaching peril has prompted a paradigm shift away from pre-quantum cryptography and towards post-quantum primitives, such as those that arise from the field of coding theory. Among these, zero-knowledge proofs have emerged as a dynamic tool instrumental in constructing quantum-resilient digital signature schemes.

We being by introducing HammR, a pre-quantum zero-knowledge proof protocol designed to verify Hamming weight and entry constraints of error vectors, and comprehensively establish its security. Subsequently, we extend HammR to the multi-party computation setting, …

Emotional Safety In Pediatrics: The Impact Of Child Life Services On Healthcare Professionals’ Perceptions Of Their Own, Patients’, And Families’ Outpatient Experiences, Jenni Davis

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Medical visits, regardless of setting, are stressful for children and their families. Care that focuses on the emotional safety of children and families can help reduce this stress. However, not all staff feel prepared to provide emotionally safe care. Child life specialists (CLSs) are specifically trained to support emotional needs during healthcare encounters. Their presence may help staff stress as well, not just stress for children and families.

This study used three surveys to understand stress among healthcare staff working in pediatric outpatient clinics and surgery settings, and how support from a CLS affects staff, children, and families. All staff …

Teacher Efficacy In Reading Intervention: The Role Of Coaching And Professional Development In Foundational Literacy, Susan S. Chapman

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This Dissertation in Practice utilized improvement science methods to increase teacher self-efficacy in foundational reading practices and to address the oral reading fluency (ORF) challenges of elementary students who consistently score below proficiency. Rooted in Bandura’s theory of self-efficacy and the Active View of Reading, the study aimed to build teacher confidence in delivering foundational reading instruction while improving student ORF rates. A Plan-Do-Study-Act (PDSA) cycle was implemented with second-grade teachers and targeted the following aim: increase ORF by 12 words correct per minute (wcpm) for students receiving Tier 3 intervention over an eight-week cycle. Coaching, using the student-centered coaching …

Exploring The Socio-Cultural Dynamics Of Nocturnal Urban Landscapes: A Case Study, Jie Kong

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This dissertation explores nighttime social leisure activities in public parks within urban working- and middle-class communities. As cities confront climate change, shifting work schedules, and post-pandemic lifestyles, neighborhood parks have gained renewed importance after dark, especially in areas where households have limited private space. These non-commercial nighttime uses are often overlooked in planning, design, and built environment studies, yet they play a vital role in fostering cultural identity, social connection, and community well-being.

Focusing on Williamsburg and Bushwick in Brooklyn, New York, this research investigates how public parks are used at night, by whom, and for what purposes. New York …