Digital Commons Network^™

The Impact Of Project-Based Learning On Future First Generation College Students’ Oral Communication Skills, Presentation Skills, Confidence Levels, And College And Career Readiness, Mandana Marashi

Theses and Dissertations

The purpose of this action research was to evaluate the impact of a project-based learning innovation course on high school students’ oral communication, presentation skills, confidence levels, and college and career readiness in a college and career readiness program housed at a university in the Mid-Atlantic region. Effective oral communication and presentation skills have been continuously emphasized by national organizations and employers to be critical skills for success in students’ academic and professional lives. However, teaching oral communication and presentation skills to high school students has been neglected, which has negatively affected students’ college and career readiness, particularly for students …

Journey To Proficiency: The Impact Of Explicit Problem-Solving Instruction In A Fifth-Grade Math Classroom, Brittany J. Terry

Theses and Dissertations

This action research study examined the impact of explicit problem-solving instruction on fifth-grade students’ mathematics proficiency and attitudes across skill levels. At the outset, students relied on rote procedures rather than conceptual reasoning, limiting their ability to apply skills in new contexts or understand why procedures work. Grounded in constructivist and sociocultural learning theories, the study aimed to move students beyond procedural fluency through explicit instruction of problem-solving strategies, modeling, guided practice, collaboration, and reflection. Over 8 weeks, 32 students participated in daily lessons. Findings from pre–post assessments, interviews, and portfolios indicate that explicit problem-solving instruction supported measurable growth in …

Journey Toward Collective Efficacy: ​The Impact Of Lesson Study In A Professional Learning Community, Julia Rose Pabst

Theses and Dissertations

This mixed methods action research study investigated the impact of a lesson study protocol on elementary teachers’ confidence through the implementation of the Three Read Close Reading Protocol (3RCRP), a research-based reading comprehension strategy. This study, grounded in Bandura’s Social Cognitive Theory, explored how collaborative and practice-based professional learning could bridge the gap between pedagogical knowledge and classroom practice to enhance teacher self-efficacy. The primary research questions focused on how participation in a lesson study influenced teachers’ self-efficacy and which aspects of the protocol were perceived as most influential. Four participants and one participant-observer engaged in a series of Professional …

The Impact Of Incorporating Crp And Growth Mindset Into The Learning Environment For Increasing Student Enrollment In Advanced Mathematics Courses, Srinivas Akella

Theses and Dissertations

This mixed-methods action research study explored the impact of incorporating Culturally Relevant Pedagogy (CRP), goal setting, and growth mindset strategies into the learning environment of an advanced mathematics course. The overall goal was to increase enrollment of underrepresented student groups in advanced mathematics courses at a small rural high school in Georgia. The problem of practice addressed in this study is the underrepresentation of African American students in advanced-level mathematics courses, such as Precalculus and Calculus, due to structural, cultural, and psychological barriers. Despite the importance of advanced mathematics for college readiness and access to STEM careers, students from underserved …

The Role Of Prelimbic Projections To The Rostromedial Tegmnetal Nucleus In Cue Discrimination, Emma Lane Carlson

Theses and Dissertations

Maladaptive decision-making, such as persistent reward seeking despite negative consequences, is a hallmark of substance use disorder (SUD) and related psychiatric conditions. These behaviors are thought to arise from impairments in aversive learning and disrupted neural signaling that normally supports behavioral inhibition. The prelimbic cortex (PL) plays a critical role in encoding cue–outcome associations and exerting top-down control over behavior, while the rostromedial tegmental nucleus (RMTg) serves as a GABAergic inhibitor of midbrain dopamine neurons in response to aversive stimuli. Although both structures have been implicated in reward and avoidance processes, little is known about how direct PL-RMTg projections contribute …

Enhancing Teacher Self-Efficacy In Ngss Storyline Implementation: A Mixed Methods Action Research Study On Professional Development In Middle School Science Education, Dena Spickard Fender

Theses and Dissertations

This mixed-methods action research study examined how professional development (PD) influences middle school science teachers’ self-efficacy in implementing the Next Generation Science Standards (NGSS) Storyline curriculum. The study also explored which aspects of PD are most effective in supporting teachers at different career stages. Teacher self-efficacy is a critical factor in the successful adoption of reform-based science instruction, yet limited research has investigated how PD can be differentiated to address the needs of novice, intermediate, and veteran educators in underperforming schools.

A convergent mixed-methods design was employed to collect both quantitative and qualitative data. The Science Teaching Efficacy Belief Instrument-A …

Integrity On The Line: An Action Research Investigation Into Cheating Behaviors Among Honors Students, Latasha Arda Smart

Theses and Dissertations

Academic dishonesty remains a persistent issue in education, undermining both learning and institutional integrity. While it has been extensively researched in general contexts, little is known about its occurrence in high-achieving settings such as honors classes, where students are frequently under increased performance pressure. This action research study investigated the prevalence, causes, and consequences of cheating behaviors among honors students at a rural high school.

The study centered on Ajzen’s Theory of Planned Behavior, Bandura’s Social Cognitive Theory, and Merton's Strain Theory. Data were collected using a qualitative case study design, which included semi-structured interviews with students, teachers, and administrators, …

The Processing Of Emotional Prosody And Semantics In Native And Non-Native Chinese Speakers, Cheng Xiao

Theses and Dissertations

Emotional information in spoken language is conveyed through both semantic and prosodic cues. While listeners interpret the meaning of utterances (what is said), they also detect the speaker’s emotional prosody (how it is said). For non-native speakers, processing these two types of information simultaneously can be challenging, particularly in a tonal language such as Mandarin Chinese, where the same acoustic feature (i.e., pitch) encodes both lexical semantics and emotional prosody. This dissertation reports a series of behavioral and fMRI experiments investigating how native and non-native Chinese speakers perceive and process emotional prosody and semantics in words and sentences. Behaviorally, results …

Improving District Targeted Support For Schools With Low Student Achievement By Implementing Assistance Relationships With School Leaders, Mary Ashley Gaskins

Theses and Dissertations

Riverbend School District faced a challenge: the lack of a formalized structure for providing schools with targeted support that meets their unique needs and increases student achievement. This study explored how the district-level instructional team could customize support to improve English Language Arts and Math performance at schools with low student achievement. The theory of improvement posited that district instructional leaders engaging in assistance relationships – through modeling instructional leadership and providing conceptual and practical tools – would enhance school leaders' capacity, ultimately improving teaching and learning. A key action of the improvement team was the creation and implementation of …

Developing A Comprehensive Schoolwide Discipline Plan In Title 1 Southern Schools, Rose Clark Kebe

Theses and Dissertations

This qualitative case study explored how teachers in Title I schools across the southern United States perceived and experienced school discipline practices. The study addressed the problem of inconsistent implementation of restorative and preventive frameworks, which has contributed to inequitable outcomes, teacher frustration, and lost instructional time. Although initiatives such as Positive Behavioral Interventions and Supports (PBIS) are mandated across many districts, inconsistent use and limited fidelity have restricted their effectiveness in improving equitable discipline and school climate.

The purpose of the study was to examine teacher perspectives to inform the development of a culturally responsive, schoolwide behavioral system grounded …

Anthropomorphism In Language And Thought: The Effect Of Agentive Linguistic Framing On Readers’ Perceptions Of Ai Animacy, Dawson Petersen

Theses and Dissertations

Over the past decade, deep learning AI systems have gone from academic obscurity to near cultural centrality in the developed world. As these technologies become increasingly integrated into daily life, there is growing cause for concern about AI anthropomorphism—i.e., the perception of AIs as more human than they really are. Despite the potential risks, AI developers continue to market their technologies using agentive language that seems to be designed to encourage anthropomorphism. The current dissertation utilizes behavioral and eye-tracking methods to examine the relationship between agentive linguistic framing and AI anthropomorphism in both controlled judgments and automatic inferences. The results …

Behind The Gens: A Bioarchaeological Study Of Kinship Structure And Social Change In Iron Age Latium, Italy, Andrea Noemí Acosta Caballero

Theses and Dissertations

The cemetery of Osteria dell’Osa is the only completely published Iron Age cemetery from Latium. Its research legacy continues as dietary, mobility, and biological affinity patterns were reconstructed through carbon, nitrogen, oxygen, and strontium isotope analyses and biodistance analysis using bone and dental samples for this dissertation project. The main hypotheses tested are:

a) The diet of people buried at Osteria dell’Osa during the Iron Age likely consisted of mostly grains like wheat and barley, which may yield low carbon isotope signatures;

b) The protein consumption of the diet of people at Osteria dell’Osa was mainly composed of terrestrial protein …

A Comparative Analysis Of Two Symphonies By Robert Volkmann: Symphony No. 1 In D Minor, Op. 44, And Symphony No. 2 In B-Flat Major, Op. 53, Baha Lee

Theses and Dissertations

The 19th-century music scene boasts countless names, but some, like Robert Volkmann (1815–1883), have faded from the spotlight despite his prolific output as a composer, conductor, and educator. Volkmann’s music remains largely unknown and unperformed, waiting to be rediscovered. This lack of recognition provides a compelling opportunity to appreciate a talented composer and rekindle interest in his music. While scholarly inquiries into Volkmann are rare, delving into his major orchestral works, particularly his two symphonies, offers not only an understanding of his artistry but also a chance to revive interest in his captivating music.

Robert Volkmann composed only two symphonies …

Food Insecurity And Social Connection Of Nicaraguan Refugees And Asylum Seekers In Costa Rica: A Qualitative Study, Keren Herran

Theses and Dissertations

Background

Given the physical and mental health consequences of food insecurity, solutions should be evidence-based and seek to prioritize vulnerable populations. This qualitative study adds to limited literature on how refugees and asylum seekers use their social connections to mitigate food insecurity by investigating how Nicaraguan refugees and asylum seekers in Costa Rica foster social connections and use these connections to acquire and manage food.

Methods

In fall 2024, 35 in-depth semi-structured interviews were conducted in San José, Costa Rica. Participants were recruited through six migrant-serving nonprofit organizations. For study inclusion, participants had to: 1) be 18 or older; 2) …

Application Of Machine Learning For Vascular System Analysis, Alireza Bagheri Rajeoni

Theses and Dissertations

The analysis of vascular structures is critical for diagnosing, monitoring, and treating vascular diseases such as aneurysms, stenosis, and vascular calcification. Traditional methods often rely on manual interpretation of imaging data, which is time-consuming, subjective, and not scalable. This work explores the application of advanced machine learning techniques to automate and enhance vascular system analysis. Our contributions include achieving state-of-the-art accuracy in vascular segmentation, developing a machine learning pipeline to automatically quantify vascular calcification in peripheral arterial disease, and designing a multi-stage machine learning system for abdominal aortic aneurysm analysis that identifies aneurysm boundaries and estimates aneurysm volume in a …

Performance Limiting Factors For Silicon Anodes In Lithium-Ion Batteries, Najmaddin Bashirzada

Theses and Dissertations

The rising global demand for high-performance and sustainable energy storage solutions has placed lithium-ion batteries (LIBs) at the forefront of technological progress. However, the energy density limits of traditional graphite anodes require the investigation of alternative materials. Silicon (Si), with its high theoretical capacity, is a promising anode material. Still, its practical use faces major challenges such as volumetric expansion, unstable solid electrolyte interphase (SEI) formation, and low conductivity. This thesis examines the electrochemical behavior and limitations of Si-based electrodes using coin cells and ex-situ three-electrode cells. A comparison of electrochemical testing methods – i.e., Galvanostatic Intermittent Titration Technique (GITT) …

Downwind-Upwind Flux Path Analysis Method For Model Reduction Performance Evaluations, Christian Robert Smith

Theses and Dissertations

Large, complex chemical kinetic models have long since been limited by the computational cost it takes to evaluate said model. Over time many reduction methods have been developed to combat this computational cost. However, very little has been done towards evaluating the limitations of reductions as a way of understanding the original model’s characteristics. This paper aimed to use a path flux analysis-based reduction algorithm to rapidly develop multiple reduced mechanisms for a 96 species FFCM-2 methane chemical kinetic model as well as an 858 species n-Dodecane chemical kinetic model. The goal of formulating these reduced mechanisms was to identify …

Towards Accurate First-Principles Modeling In Heterogenous Catalysis: Ethane Dehydrogenation And Hydrogenolysis Over Pt Catalysts, Mubarak Ayo Bello

Theses and Dissertations

First-principles modeling has become central to heterogeneous catalysis research, offering mechanistic insight and guiding catalyst design, yet conventional approaches often struggle to accurately describe complex catalytic systems due to methodological uncertainties, simplified assumptions, and the structural diversity of nanoparticle catalysts. This dissertation addresses these challenges using ethane dehydrogenation (EDH) and hydrogenolysis (EH) over platinum catalysts as model systems. The first study benchmarks density functional theory (DFT) functionals against the random phase approximation (RPA) for the EDH network on Pt(111), identifying cost-effective functionals and demonstrating the efficiency of BEEF-vdW ensembles for capturing functional uncertainty. The second study (addressed in prior work) …

Identifying And Understanding The Barriers To Sexual Health Information Seeking Experienced By Young Adults (Ages 18-26) Using Social Media, Alexander Nicolas Vera

Theses and Dissertations

This dissertation uses a qualitative, constructionist approach to examine the sociotechnical and cultural dynamics that shape digital sexual health-seeking practices of young adults. Guided by information practices and affordance theory, the research draws on semi-structured interviews and digital walkthroughs with 20 young adults (ages 18–26) from a convenience sample of young adults residing in South Carolina. Participants described how they use platforms like TikTok, Instagram, and Reddit not only to locate information but to assess its trustworthiness, inclusivity, and personal relevance in real time. Through in-depth accounts and screen-based demonstrations via digital walkthroughs, the study examines how participants engage in …

A Building Block Approach To Certification By Analysis Applied To A Ditching Analysis, Preliminary Studies, Sean Taylor

Theses and Dissertations

Extended Twin-Engine Operations (ETOPS) certification ensures safe trans-oceanic operation of transport category aircraft. A critical aspect of ETOPS certification is compliance with ditching regulations. The importance of ditching analysis has grown significantly and come under greater scrutiny because of the ‘Miracle on the Hudson’ incident. For transport category aircraft certified under 14 CFR 25 regulations, compliance with ditching requirements, rests on two major components. First, demonstrating acceptable aircraft dynamic behavior during the ditching event and second, ensuring the airframe can withstand the loads generated because of water impact.

Historically, original equipment manufacturers (OEMs) relied on comparisons to existing aircraft with …

Implicit Neural Representation For Image Reconstruction, Canyu Zhang

Theses and Dissertations

Image reconstruction seeks to restore corrupted images and recover visual content that has been lost or degraded. Such degradation may result from low resolution, occlusion, masking, or shadow interference. This problem has become an increasingly significant research topic, as visual information plays a central role in almost every aspect of modern life. Neural network based approaches have recently emerged as highly effective solutions for this task. In particular, convolutional neural networks and transformer based architectures have demonstrated remarkable success in producing visually convincing reconstructions. However, these models remain constrained in several important ways, one of the most critical being that …

Recognizing The Unexpected: Deep Learning Across Complex Environments, Ge Song

Theses and Dissertations

Ensuring the security, trustworthiness, and operational integrity of modern autonomous and cyber-physical systems presents a critical challenge. While widely utilized in various engineering applications, such as intelligent transportation and industrial manufacturing, these systems require robust monitoring frameworks to identify unexpected anomalies in real-time, thereby maintaining operational safety and efficiency. This dissertation develops advanced deep learning methodologies for anomaly detection and health monitoring, with a particular emphasis on semisupervised reconstruction-based approaches that identify anomalies in complex environments using models trained only with normal operational patterns.

Building on this theme, the first study focuses on analyzing pedestrian behavior and detecting anomalies at …

Development Of A Strategy To Neutralize Ccl8 Activity And Ablate Ccl8 Cellular Targets, Bernardo Chavez

Theses and Dissertations

The chemokine CCL8 (monocyte chemoattractant protein-2) is a versatile signaling molecule involved in tumor progression, immune cell recruitment, and therapeutic resistance. Through activation of receptors including CCR1, CCR2B, and CCR5, CCL8 promotes leukocyte trafficking, epithelial–mesenchymal transition, and the establishment of immunosuppressive tumor microenvironments. In breast cancer and inflammatory diseases, elevated CCL8 levels correlate with poor clinical outcomes, making it a promising therapeutic target.

A strategy was developed to block CCL8 activity and selectively ablate CCL8 receptor expressing cells. A neutralizing monoclonal antibody, 1G3E5, was identified from a panel of murine candidates based on high affinity CCL8 binding. Sequencing revealed two …

Spectral Modeling Of Electromagnetic Radiation From Power Converters, Regan A. Varner

Theses and Dissertations

Switching power converters are increasingly utilized in contemporary electronics. They are becoming more compact and operate at higher frequencies, which contributes to radiated electromagnetic interference (EMI). This EMI is important to quantify for electromagnetic compatibility of the converters with other nearby systems. In this thesis, analytical models have been developed for both ideal and non-ideal switching waveforms, employing piecewise functions to describe time-domain waveforms, with their corresponding frequency spectra derived and compared to empirical spectra. The results demonstrate that the comparisons with measured frequency data exhibit agreement with the analytical models up to approximately 25 MHz. Additionally, our analysis indicates …

Calculating Surface Current Velocities From Video Generated From A Near Forward-Facing Camera, Colby James Weeks

Theses and Dissertations

This work presents a camera system for estimating surface currents. A combined camera and IMU system provide high resolution images and high precision orientation information, respectively. This eliminates the need for leveling and enables forward looking operation. The hardware stack includes a Lucid Vision Triton TRT162S monochrome camera, an SBG Ellipse D with dual antenna GNSS for precise pose, and an Nvidia Jetson Orin for acquisition and processing. The Ellipse D provides a hardware trigger at 10 Hz to time stamp each frame and to synchronize images with inertial measurements.

A camera calibration step estimates the intrinsic camera parameters and …

Towards Robust Bmocz Schemes For Non-Coherent Wireless Communication, Anthony Joseph Perre

Theses and Dissertations

Non-coherent communication has emerged as a promising approach to address several challenges at the physical layer. A particular scheme called binary modulation on conjugate-reciprocal zeros (BMOCZ) uses the zeros (i.e, roots) of a polynomial to convey information bits. In this thesis, we strive to improve the reliability of BMOCZ in various scenarios. In particular, we utilize machine learning (ML) methods to determine the parameters for BMOCZ and improve upon the decoding performance. Moreover, we introduce a smooshed BMOCZ variant to combat typical impairments encountered within wireless communications, including timing offsets (TOs) for noncoherent orthogonal frequency division multiplexing (OFDM). Through numerical …

Multi-Layer Decision Making For Long-Term Autonomous Mission Based On Dual Process Theory, Shruti Jadhav

Theses and Dissertations

Unmanned aerial vehicles (UAVs) are increasingly used in precision agriculture, where extended autonomous operation is required for monitoring, intervention, and field management. However, achieving long-term autonomy remains challenging due to battery constraints, environmental uncertainty, and the need to balance exploration with event-driven tasks. To address these challenges, a multi-layer decision-making framework inspired by Dual Process Theory (DPT) is developed. The framework combines reactive return-tobase strategies, exploratory navigation, and directional bias from prior missions, with a conflict-monitoring mechanism that adapts system behavior based on real-time conditions. The approach is implemented in a simulated agricultural grid environment, demonstrating improved adaptability and coverage …

Reduced Order Simulator Of A Nuclear Thermal Propulsion System, Jackson Taylor Zazzaro

Theses and Dissertations

This thesis presents the development of a reduced-order simulator for a nuclear thermal propulsion (NTP) system, designed to capture the key thermo-fluid and performance characteristics of such systems while maintaining computational efficiency. The primary objective of this work is to develop and demonstrate a modular simulation framework capable of modeling the coupled physics of an NTP reactor, nozzle, and orbital transfer system. The simulator integrates a reduced-order thermal-fluid model of the reactor, a simplified nozzle model, and an orbital transfer model, providing a comprehensive yet computationally efficient representation of the propulsion process. By employing reduced-order modeling techniques, the simulator achieves …

A Qualitative Study Of Middle School Teachers’ Experiences Integrating Computer Coding Into Mathematics Classrooms, George William Austin Iii

Theses and Dissertations

As computers become more accessible in schools nationwide, teachers are embracing them to impact achievement positively (Brudno, 2013; Cetin, 2016). As a result, computer coding instruction has gained attention as a strategy for providing students with skills that will serve them both pre and post-graduation (Burke & Kafai, 2013; Yadav et al., 2016; Ng, 2017). Computer coding is the process of providing instructions for a computer to follow. In 2017, the South Carolina State Board of Education approved Computer Science and Digital Literacy standards for all K-8 public schools in the state of South Carolina (South Carolina Department of Education, …

Rate-Dependent Interlaminar Shear Characterization In Solid-State Extruded Ultrahigh Molecular Weight Polyethylene Film Composites, Frank David Thomas Jr.

Theses and Dissertations

Ultrahigh Molecular Weight Polyethylene (UHMWPE) cross-ply [0o/90o] thin film composites are emerging as an effective material for impact applications due to their high axial strength-to-weight ratio and favorable delamination properties. Mode-II interlaminar shear (ILS) fracture-driven delamination has been shown to be a significant energy absorption mechanism. Therefore, accurately characterizing ILS behavior as a function of strain rate in these composites is essential to inform computational models. Since these composites are significantly thinner and weaker in both interlaminar shear and transverse tension than traditional carbon fiber epoxy composites, standard ILS Mode II test methods/specimens such as end-notched flexure (ENF) are expected …