Digital Commons Network^™

Device Engineering And Defect Characterization Of Wide-Bandgap Semiconductor Detectors, Ritwik Nag

Theses and Dissertations

This work investigates the device engineering and defect characterization of next-generation wide-bandgap semiconductor radiation detectors, specifically focusing on cadmium zinc telluride selenide (CdZnTeSe or CZTS) single crystal, 4H-silicon carbide (4H-SiC) epitaxial layer, and metal-oxide-semiconductor (MOS) 4H-SiC architectures. The research addresses the critical need for high-performance detectors capable of operating in harsh environments (i.e, in high radiation background and at high temperature) and at room temperature with superior energy resolution and low noise.

In the study of CZTS gamma-ray detectors, single crystals were grown using the vertical Bridgman method (VBM) and the vertical gradient freeze (VGF) method. Material characterization using EDX, …

Effectiveness Of A Problem-Solving Framework That Incorporates Equitable Pedagogy, Three Reads Comprehension Strategy, Cra, And Schema-Based Instruction On Students’ Math Word Problem Solving Abilities, Amanda Julia Laborde

Theses and Dissertations

The purpose of this study was to determine the impact of a problem-solving framework that incorporated the Three Reads comprehension strategy, Concrete- Representational-Abstract instructional strategy, Schema-Based Instruction, as well as the implementation of equitable pedagogical practices. This mixed-methods action research study was guided by three research questions for which both qualitative and quantitative data had been collected. The first question focused on determining teacher or student strategies within the intervention course that would be a hinderance to the implementation of the prescribed intervention. The second question focused on the impact of the problem-solving framework. The third question focused on the …

Millimeter Wave Channel Modeling In Shipboard Environments, Patrick Morris

Theses and Dissertations

The millimeter wave (mmWave) band has been increasingly studied in recent years due to the saturation of other common frequency bands and the need for higher data rates for current and future communications systems. In this thesis, we quantify key channel parameters for mmWave channels in several environments, including an office setting, an indoor corridor, outdoor areas near a large building, and two shipboard environments. Using a center frequency of 30.5 GHz and signal bandwidth of 500 MHz, we quantify path loss and delay dispersion. The shipboard environments are a focus due to their novelty. Measurements were made using a …

An Examination Of Gendered Experiences In Undergraduate Engineering Education With Emphasis On Participation, Validation, And Persistence, Madison Lynn Burlett

Theses and Dissertations

This study investigates gendered experiences in undergraduate engineering education, with particular attention to academic validation, participation, and belonging. While prior research suggests disparities in retention and representation, these patterns are often examined through quantitative metrics such as grades, self-efficacy, or survey- based perceptions. Such approaches can provide limited insight into how students interpret and navigate engineering environments in practice. This study adds to the existing body of research by examining students’ lived academic experiences through qualitative analysis.

Semi-structured interviews were conducted with undergraduate engineering students across multiple disciplines and academic levels. Interviews elicited detailed accounts of how students approached academic …

A Vision-Language Model Framework For Geographically And Environmentally Informed Soundscape Assessment, Pengyu Chen

Theses and Dissertations

Sound environments shape how people experience urban spaces, yet conventional noise monitoring relies on isolated sensors that lack semantic context and spatial scalability. This study explores whether Vision-Language Models (VLMs) can infer acoustic conditions directly from street-view imagery, offering a scalable alternative to dense sensor networks. This thesis focuses on three tasks: (1) identifying visible sound sources (vehicles, pedestrians, water features); (2) predicting sound pressure levels (SPL) in decibels; and (3) classifying sound type into Natural, Mechanical, or Human categories. I collected 200 field samples across 11 cities using mobile phones and decibel meters, producing aligned image-spectrogram-dB triplets spanning diverse …

Soil Macroinvertebrate Biodiversity Patterns In Congaree National Park And The Role Of Dna Barcoding, Sharon Ann Kendrick

Theses and Dissertations

Soil and leaf-litter invertebrates are important components of terrestrial biodiversity and contribute to key ecosystem processes such as decomposition, nutrient cycling, and soil formation. Despite their ecological importance, these communities remain difficult to document because many taxa are small, cryptic, or challenging to identify using morphology alone. This study examined patterns of soil macroinvertebrate biodiversity across habitats within Congaree National Park while also evaluating the usefulness of DNA barcoding for documenting taxonomic diversity. Sampling was conducted at 39 sites between September 2022 and October 2024 across upland, bottomland, and bluff habitats. Macroinvertebrates were collected separately from leaf litter and soil …

Teaching The Teachers: A Responce To Legal Illiteracy In Education, Landon Lee Kekoa Fielder

Theses and Dissertations

This action research dissertation aimed to examine the impact of teachers’ knowledge of education law and their perceived understanding of how it impacts their daily functions. This mixed methods study was conducted using digital data collection methods and analysis. The findings of this study revealed an increase in legal literacy among both pre-service and in-service teachers. Quantitative findings indicated an improved understanding of key legal concepts amongst participants. Additionally, qualitative findings expressed a heightened awareness and clarity surrounding legal responsibility for teachers. Across both in-service and pre-service teacher participant groups, participants identified gaps in their understanding and recognized the value …

Rating Ai Models For Robustness Through A Causal Lens, Kausik Lakkaraju

Theses and Dissertations

As Artificial Intelligence (AI) systems become increasingly powerful and widely accessible, trustworthiness remains a major barrier to their adoption in critical domains such as finance and healthcare. With the advent of large language models (LLMs) that can perform multiple tasks with strong empirical performance, users increasingly rely on these black-box AI services to obtain recommendations, analyze text, and support everyday decisions. However, real-world incidents and empirical studies show that these systems can be overly sensitive to small changes in input, producing outputs that shift substantially under minor perturbations. In addition, models have been reported to exhibit stereotypical behavior and systematic …

Supporting Stem Self-Efficacy Using Culturally Relevant Pedagogy For Historically Underserved Black Female Students, Rajdeep Young

Theses and Dissertations

The underrepresentation of Black women in science, technology, engineering, and mathematics (STEM) fields remains a persistent concern in education and the workforce. Research suggests that students’ beliefs about their ability to succeed in STEM, referred to here as STEM self-efficacy, may play a critical role in shaping STEM interest, persistence, and career pathways. Grounded in Bandura’s self-efficacy theory and informed by Culturally Relevant Pedagogy and Intersectionality, this study examined the impact of a targeted intervention designed to support and strengthen STEM self-efficacy among Black middle school girls. Using a mixed-methods approach, the study investigated changes in participants’ STEM self-efficacy following …

Rethinking Career-Pathway-Based Programs In Career Technical Education Utilizing Improvement Science, Michael J. Parry

Theses and Dissertations

Career technical education (CTE) has traditionally been organized around distinct career pathways designed to develop deep technical expertise within a single occupational field. While this model has been effective in preparing students for entry- level employment, it increasingly limits students’ opportunities to develop transferable technical and professional skills that span multiple pathways—skills now essential in a dynamic, interdisciplinary workforce. This dissertation in practice examined how a career technical education system could redesign pathway-based programming to support cross-pathway skill development while preserving pathway-specific technical rigor.

Guided by improvement science, this improvement work was conducted at Grant Career Center (GCC), a rural …

The Implementation Of A Manufacturing Curriculum In Secondary Education, John Chieyung Kim Ii

Theses and Dissertations

American manufacturing cannot find workers. By 2030, 2.1 million positions will go unfilled, at a projected cost of one trillion dollars. Secondary schools are not solving this problem. At Ypsilanti Community High School, only 23.7% of graduates pursue postsecondary education. The rest enter the workforce without credentials or technical skills. No manufacturing curriculum existed at YCHS. This Dissertation in Practice built one.

The study used improvement science methodology. Two Plan-Do-Study-Act cycles designed, tested, and refined a precision measurement curriculum aligned to NC3 industry certification standards. Thirty-three students participated across both cycles. Cycle 1 used a traditional theory-first sequence over ten …

Examination Of Metacognitive Strategies As An Intervention Supporting College Readiness For Students In Large Enrollment Introductory Biology Courses, Angela S. Mohrman

Theses and Dissertations

Students who meet traditional definitions of college readiness based on prior coursework, grades, and standardized test scores often continue to struggle in large-enrollment introductory STEM courses. These struggles are particularly evident in introductory biology, where high cognitive demands, rapid pacing, and content volume require learners to regulate their own studying in ways many students have never been taught. This action research study examined whether sustained, explicit instruction in metacognitive regulation—planning, monitoring, and evaluating learning—could support introductory biology students’ college readiness and learning of biology content.

Using a mixed-methods action research design, the study investigated a 15-week co-curricular metacognitive intervention taken …

Majority Vote Consensus Via Over-The-Air Computation, Davis Jianmin Mo

Theses and Dissertations

In this paper, we explore the reliability consensus algorithms using non-coherent Over-the-Air Computation (OAC) Majority Vote (MV) for multi-agent stochastic bias systems under ideal conditions with only sensor variance, and with both sensor noise and frequency selective fading channels. In this investigation, we will analyze the reliability data for the combination of these two concepts, such as observing computation error rate, and convergence.

Surface Salinity Variability And Loop Current Frontal Eddy Activity In The Gulf Of Mexico, Pamela Jo Lee

Theses and Dissertations

The Gulf of Mexico (GoM) is a dynamic semi-enclosed basin where mesoscale and submesoscale circulation regulate the distribution of freshwater, nutrients, and biological productivity. The Loop Current System (LCS), which includes the Loop Current (LC), Loop Current Eddies (LCEs), and Loop Current Frontal Eddies (LCFEs), exerts the dominant control on basin-wide circulation. These features interact with freshwater input from the Mississippi-Atchafalaya River System (MARS) and with saline inflow from the Caribbean, resulting in variability in sea surface salinity (SSS) and chlorophyll-a (Chl-a) across a range of spatial and temporal scales. A primary focus of this work is understanding how the …

Characterizing Spatiotemporal Dynamics In Beach-Dune Systems Under Anthropogenic And High Energy Forcings, Youngjae Kim

Theses and Dissertations

Coastal regions have historically been integral to geographic research given the complex interactions among physical processes, ecological systems, human activities, and socio-economic dynamics. As global populations in low-elevation coastal zones increase, understanding the coupled human-natural dynamics becomes essential for effective hazard mitigation. This dissertation presents an analytical framework that combines high-resolution remote sensing, image classification, landscape metrics, and geomorphometry to characterize the composition, configuration, and morphodynamic trajectories of coastal systems. The research investigates multi-scale dynamics in managed and unmanaged coastal environments by integrating diverse data sources to analyze spatial and temporal variability. The framework is implemented through three distinct research …

Vocabulary Learning In High School Chemistry To Enhance Conceptual Understanding: An Action Research Case Study, David Thibodeau

Theses and Dissertations

Accurate application of the domain-specific language of chemistry is often a challenge for students. To address this problem of practice, an action research intervention was implemented in a suburban high school chemistry classroom. Integrated with the predict-observe-explain instructional sequence, students participated in a targeted vocabulary intervention designed to ground abstract chemistry terms in concrete laboratory-based learning experiences. In concretizing abstract terms, students had more access to challenging chemistry vocabulary, consistent with the principles of the dual coding theory of cognition. The study’s findings suggest growth in students’ conceptual understanding of chemistry topics and ability to accurately articulate explanations of chemistry …

Advancing Edge Ai Through Integrated Neuromorphic Algorithms And Hardware, Peyton Chandarana

Theses and Dissertations

As machine learning continues to expand across diverse sectors, including healthcare, transportation, environmental monitoring, and consumer electronics, many applications operate under strict constraints on latency, bandwidth, privacy, and power availability. Meeting these demands increasingly requires deploying machine learning at the edge to process data locally rather than relying on remote cloud infrastructure. These limitations highlight the importance of computational efficiency and motivate the exploration of alternative hardware and algorithmic paradigms capable of delivering real-time, accurate inference under tight resource constraints.

Two major paradigms have emerged for edge intelligence: conventional artificial neural networks (ANNs) deployed on highly parallel edge accelerators such …

Return Or Retain: A Case Study Of The Repatriation Of The Infamous “Elgin Marbles”, Camille Marguerite Ferguson

Theses and Dissertations

In this paper, I will evaluate the infamous acquisition of Lord Elgin of Grecian Marbles, which are housed in the British Museum, with the goal of supporting the case for repatriation. I will first explore the historical background of the Acropolis, its monuments, and the destruction that has taken place over centuries. Then I will discuss the actions of Lord Elgin, Parliament, and the British Museum Board of Trustees. Additionally, in examining the liability of the international and governmental institutions, such as the United Nations and European Union, who are complicit in the case, we can find a path to …

The Use Of Machine-Learning Interatomic Potentials To Study Bulk Properties Of Aqueous Zn Ion Batteries, Ria Vasdev

Theses and Dissertations

Aqueous Zn-ion batteries (AZIBs) have emerged as a promising energy storage tech- nology owing to their high Coulombic efciency and low environmental impact. However, their practical development is impeded by limited cycling stability, pri- marily caused by parasitic side reactions occurring at the anode surface. These side reactions are strongly infuenced by the bulk solvation structure of Zn-based elec- trolytes, which remains challenging to characterize using conventional experimental techniques. Machine-learning interatomic potentials (MLIPs) provide a powerful computational approach to investigate these systems and can be employed to eluci- date the bulk structural properties of Zn electrolytes.

The Unstable Horizon Of Composition: The Demonstrations Of Expertise And Ethos By Freelance Composers Within Destabilized And Precarious Digital Environments, Mary Elizabeth A. Smith

Theses and Dissertations

This dissertation centers the demonstrations of ethos and expertise by freelance composers operating within destabilized digital environments enabled by the gig economy. As labor, and particularly the labor of writing, increasingly grows more precarious, composers have adopted nonstandard forms of communication that entail financial, socioeconomic, and material precarity and that break from conventions in highly hierarchical and standardized professions. Because freelance composers exhibit an alternative to institutional and hierarchical structures, composition must account for these growing precarious forms and conditions of labor. These composers represent the unstable horizon of composition and the diverse and destabilized practices of knowledge and composing …

Stimuli-Responsive Hybrid Materials: From Fundamental Photophysics To Tunable Properties, Grace C. Thaggard

Theses and Dissertations

Photochromic materials exhibit properties that can be dynamically tailored as a function of light exposure and represent a rapidly expanding field driven by applications ranging from molecular computing, nanotechnology, or photopharmacology to programable heterogeneous catalysis. For example, the possibility to tune a material’s catalytic activity “on demand” through exposure to a noninvasive stimulus is a transformative concept that could shift the paradigm in chemical industry by allowing for in-situ suppression of byproduct formation, isolation of reactive intermediates, and even control over product yield and selectivity. Development of the mentioned photochromic materials is based on stimuli-responsive molecular building blocks which undergo …

Quantifying And Characterizing Microplastics In North Inlet And Winyah Bay Estuaries, Sc, Emily Grace Contract

Theses and Dissertations

Microplastics (1 μm to 5 mm) accumulate in the bodies of marine organisms and negatively impact their health. Microplastics have also been linked to birth defects, endocrine disruption, and cancer in humans. This study quantified, characterized, and compared microplastics in a protected estuary (North Inlet Estuary, South Carolina) and an estuary impacted by anthropogenic activities (Winyah Bay, South Carolina). Water samples were taken from three sites in each estuary from February 2025 to December 2025. The samples were digested, filtered, then examined visually for microplastics. Plastic particles were extracted and analyzed by Raman microscopy to obtain polymer content. Results indicate …

The Secondary City: Georgetown And The Waccamaw Neck Within A Global Maritime Perspective, 1740-1850, John Paden Wilson

Theses and Dissertations

Georgetown is not and has never been the primary city on the South Carolina coast. Its harbor is shallow and muddy and its urban development lacks the commercial density found in more prominent Atlantic port cities such as New York, Boston, Philadelphia, and Charleston. Despite all indicators to the contrary, this marshy backwater outpost became the second richest port in the United States prior to 1850 through rice and indigo exportation. As a result, the port drew people, goods, and ideas from around the Atlantic. Despite its small size and limited cultural relevance, Georgetown was a regional node for international …

Polyvinylidene Difluoride As A Platform For Photonic Circuits, Caleb Duff

Theses and Dissertations

Integrated photonic circuits represent a promising avenue for advancing computing capabilities by replacing electrons with photons as information carriers. This transition necessitates a comprehensive and innovative approach as the well understood requirements for electronic circuits are replaced by the needs of photonic circuits. This work will discuss topological photonics and one of many recent successes in their use to create near scatter free states. This work will then discuss progress towards creating an electromechanical platform using polyvinylidene difluoride [(C2H2F2)n], the platform’s benefits, and how the platform has been tested. This platform would have the potential to create reconfigurable photonic circuits, …

Financial Incentives And Substitute Teacher Job Fill Rates, Anna Ruth Graham

Theses and Dissertations

Since the return to full-time, in-person instruction following COVID-related school closure, our district, Madison County Public Schools (MCPS), has struggled with a consistently low substitute teacher fill rate. MCPS is a small, rural district with a student population hovering around 1,560 students, pre-kindergarten through twelfth grade, and just under 300 total staff members. The county borders and is within reasonable driving distance to several higher-paying districts. As a result, we struggle to cover daily teacher absences. While the national average for substitute fill-rates is 80 percent, our substitute fill-rate at times averages below 50 percent. Kraft et al.’s study of …

A Tail Of Consumption: Essays On Pet-Person Identities And Their Effects On Consumers, Mackenzie Micheala Volk

Theses and Dissertations

This work examines how exposure to pet-person identities — identifying as a dog person or a cat person — affects consumer behavior. Across two chapters, results show that exposure to dog-person cues increases preferences for bold and conspicuous product features through heightened desire for dominance-based status signaling. Additionally, exposure to cat-person cues activates a cat-person mindset, boosting support for inclusive businesses and policies by increasing minority support and justice sensitivity. Together, these findings suggest that subtle identity cues in the marketplace can meaningfully shape consumer preferences and social attitudes, with implications for how brands position themselves and how policymakers and …

The Metacognitive Shift: Reshaping Student Attitudes And Adaptive Reasoning Through Error Analysis In Eighth-Grade Mathematics, Samantha Lynn Graves

Theses and Dissertations

This study utilized an action research framework to address students’ lack of adaptive reasoning skills in a mathematics classroom in South Carolina. These students often focus on procedural fluency without understanding the reasoning behind the steps. Using a mixed methods design, this study examined the impact of implementing student- led error analysis as a metacognitive strategy on the adaptive reasoning skills and attitudes of 20 eighth-grade mathematics students. The study took place over 6 weeks at a Title I public charter school, and the intervention required students to identify, correct, and explain errors in various problem types, including fractions, applied …

Exploring The Impact Of Culturally Relevant Pedagogy On Student Cultural Capital, Jessica Asten Leonard

Theses and Dissertations

This study examines the intersection of cultural capital and culturally relevant pedagogy (CRP) within the context of eighth-grade social studies education. Grounded in a theoretical framework of Bourdieu’s cultural capital theory, Ladson-Billings’ theory of culturally relevant pedagogy, and principles of critical curriculum theory, this research study investigated how elements of objectified and embodied cultural capital manifested in student participants and how those elements may have been influenced using culturally relevant instructional strategies. Within the context of a mixed methods design, a qualitative survey instrument was administered to students enrolled in South Carolina and United States history courses and sought to …

Instructional Practices, Belonging, And Self-Efficacy In Rural Inquiry-Based Classrooms: A Structural Equation Model Of Direct And Indirect Effects, Jennifer Nichol Harrist

Theses and Dissertations

Research on inquiry-based learning (IBL) has largely focused on student achievement outcomes, with less attention given to how classroom social dynamics influence students’ motivational beliefs, particularly within rural educational contexts. Rural schools often operate within smaller, close-knit communities where interpersonal relationships may shape students’ academic experiences in distinctive ways. The purpose of this study was to examine the relationships between instructional practices, belonging, and students’ academic self-efficacy in rural inquiry-based learning environments. Using self-efficacy theory and belonging frameworks, the study investigated whether students’ perceptions of teacher and peer belonging mediated the relationship between instructional practices and perceived academic competence.

Survey …

Soft Skills As The New Hard Skills In The Industry 5.0 Era, Miria Zangirolami Munoz

Theses and Dissertations

As technological advancement reshapes educational and professional landscapes, the human dimensions of teaching have become increasingly critical. This action research study examines the gap between the strong academic preparation of Teachers of English as a Second Language (TESL) pre-service teachers and their readiness to meet professional workplace expectations. Situated within the context of Industry 5.0, where human-centered skills are emphasized alongside digital competence, the study explores how soft skills, punctuality, digital etiquette, presentation skills, and professional attire, can be intentionally developed within teacher education. Guided by the strength model of self-control and achievement goal theory, a targeted workshop intervention was …