Digital Commons Network^™

Middle School Teacher Perceptions Of Digital Game-Based Learning In A 1:1 School District, Brennen Knight

Dissertations

This study examines middle school teachers' perceptions of Digital Game-Based Learning (DGBL) within a 1:1 school district. In this district, each student is provided with a personal digital device. With the increasing integration of technology in education, DGBL has been recognized as a tool that enhances student engagement, fosters differentiated learning, and improves achievement. However, despite its potential benefits, teacher adoption of DGBL varies widely due to personal beliefs, pedagogical challenges, and institutional barriers. Guided by the Technology Acceptance Model (TAM) and Rogers’ Diffusion of Innovation Theory, this qualitative multiple-case study explores how middle school teachers perceive, implement, and what …

High School Students' Mathematics Experiences And Mathematics Learner Identities In A Rural Georgia Town: A Qualitative Study Using Autophotography With Photo-Elicitation, Wesley Cooper

Dissertations

This study examines the mathematics experiences (MEs) and mathematics learner identities (MLIs) of high school students in a rural Georgia town, addressing the underrepresentation of rural perspectives in mathematics education through an asset-based lens. Using autophotography with photo-elicitation, ten participants captured images reflecting their MEs, MLIs, and recommendations for improvement. Semi-structured interviews and focus groups along with two mini-cases amplified participant voices, guided by the frameworks of Four Faces of Mathematics Learner Identity (4F), Content Learning and Identity Construction (CLIC), and Critical Rural Theory (CRuT). Findings highlight how rural students’ MEs and MLIs are shaped by both the strengths of …

A Phenomenological Study Of Southern California Charter School Leaders’ Perceptions Of Creating An Inclusive School Culture, Barbara Hale

Dissertations

Purpose: The purpose of this phenomenological study was to identify and describe the culturally responsive leadership practices that charter school leaders use to create a culture of inclusiveness. A second purpose of the study was to identify and describe the supports and barriers charter school leaders perceive affect the development of a culture of inclusiveness for students. Methodology: This study identified and described the culturally responsive leadership practices implemented by charter school leaders to create a culture of inclusiveness and identify the supports and barriers the leaders perceived to affect the development of the inclusive culture. I interviewed 10 participants …

A Comparison Of The Factors That Affect Graduation Rates Of Students Enrolled In Dropout Prevention Programs, Catina R. Thomason

Dissertations

The purpose of this study was to compare the factors that affected the graduation rates of students enrolled in five charter high school dropout prevention programs that utilized the same online accelerated curriculum model. The overarching research question was: what factors affected the graduation rates of students enrolled in dropout prevention programs? A mixed methods design was employed to evaluate extant data on graduation rates and attendance rates surveys and semistructured interviews were completed by administrators and teachers to compare data across the five schools. This approach allowed for a comprehensive analysis of both quantitative and qualitative data, providing a …

Does Artificial Intelligence Bias Exist In Mortgage Underwriting Software? Investigating Bias, Regional Disparities, And Fair Ai Models, Dorian Cornelius

Dissertations

This quantitative study closely emulated Zou and Khern's (2022) analysis of AI Bias in Mortgage Applications. They used the Home Mortgage Disclosure Act (HMDA) dataset from the Federal Financial Institution Examination Council's (FFEIC) website to review mortgage loan data from 2019 to determine if there was bias in the AI mortgage application approvals. Those researchers concluded that bias does exist in the AI mortgage underwriting software. Since their study, research has demonstrated that discrimination continues to exist in AI software. Therefore, this research expands on Zou and Khern’s study to determine if there are differences in the mortgage loan approval …

A Phenomenological Study Exploring Superintendent’S Perceptions On Four Servant Leadership Characteristics For Developing High-Performing Teams, Katie Chin-Berry

Dissertations

Purpose: The purpose of this phenomenological study was to explore and describe public school superintendents’ perceived impact of four servant leadership characteristics established by Spears (2010) on developing and maintaining high-performing teams. Methodology: This phenomenological research study explored and detailed how superintendents perceived the influence of four servant leadership characteristics on developing and maintaining high-performing teams. Eight participants were chosen using nonprobability purposeful and convenience sampling based on specific criteria, which required at least 4 years of experience in their district, a minimum of 10 years of experience in the K–12 public school system, and employed in a K–12 district …

Delphi Study Of Possible, Probable, And Desirable Futures For California Community Colleges By 2035, Christopher Frymire

Dissertations

Purpose: The purpose of this Delphi study was to identify and describe the educational changes to California Community Colleges that are possible and probable by 2035 as perceived by a panel of experts. In addition, the purpose was to determine the level of desirability of educational changes identified as probable by a panel of experts. Finally, the purpose was to describe the actions necessary to promote the desirable educational changes by 2035 as perceived by the expert panel.Methodology: This Delphi method was used to survey 18 community college experts from diverse disciplines. Four survey rounds gathered qualitative and quantitative data …

Administrator Leadership And Collective Efficacy: Enhancing Math Education In Public High Schools In California, Lina Ahmadieh

Dissertations

Purpose: The purpose of this qualitative, multicase study was to determine challenges that high school administrators experience when they establish the elements of collective teacher efficacy (CTE) based on the elements of common purpose, collective teacher accountability practices, protocols for collective practices, and interventions in their mathematics department and to determine the strategies that high school administrators use when they establish CTE in their mathematics department.Methodology: In this qualitative, multicase study, five interviews were conducted with public high school administrators in California. The researcher employed qualitative methods to explain the challenges that high school administrators experience when they establish the …

Resetting The Imposter Phenomenon Reality: A Mixed Methods Research Study Of An Immediate Cognitive Behavioral Intervention On Stem Practitioners, Peter D. Smith

Dissertations

Imposter Phenomenon (IP) remains an essential framework for understanding how professionals attribute success to chance or misconceptions rather than genuine abilities. IP is especially pertinent for individuals who feel like frauds when attaining higher positions, convinced the promotions resulted from luck rather than accomplishments and credibility. The misguided mindset cultivates feelings of inadequacy or deceit, even when accolades, experiences, and qualifications prove the contrary. The prevalence of IP is widespread, impacting numerous individuals who have faced or continue to endure episodes of varying intensity. The psychological state makes individuals vulnerable to feelings of inadequacy, leading to reduced productivity, increased procrastination, …

The Impact Of Electrode Design On Lithium-Ion Battery Fast Charging, Prehit Patel

Dissertations

The growing demand for lithium-ion batteries in electric vehicles, grid storage, and consumer electronics drives the need for advancements in energy density and power capability. Achieving higher energy density requires improved electrode architectures to enhance ionic transport while minimizing polarization and resistive losses. Although increasing electrode thickness can boost energy density, it also introduces transport limitations and raises the risk of lithium plating. A promising solution to this challenge is the integration of electrolyte channels within multi-layer electrodes, which can enhance lithium-ion mobility, particularly under high-rate cycling conditions. This study explores potential improvements to conventional lithium-ion cells that enable high …

The Impact Of Second-Year Teacher Mentoring, Jennifer Eaton

Dissertations

Teacher retention in the United States is an ongoing problem that is affecting students around the country. States, districts, and schools have used many strategies to try to alleviate the teacher shortages. One of the most common strategies utilized is mentoring first year teachers. This mentorship helps establish the teachers in the schools and gives more of an understanding of what teaching is like on a day-to-day basis.

This research specifically examined the potential impacts a second year of mentoring could have on the second-year teacher. In the United States, nine states have moved to mentoring models lasting longer than …

Radar Resolution Improvements Using Reference Target Sliding Method In Range Doppler Matrix, Trent Shelton

Dissertations

A novel reference target sliding method (RTSM) in the frequency domain of post-match-filtered radar data is presented, and it is shown that target resolution can be improved to levels much finer than classical bandwidth-limited resolution metrics. The RTSM uses a priori knowledge of the radar system to test returned signals against baseline references to provide expected target fitting. The methods developed have broad application and can be used to provide crossing target resolution and estimation parameter refinement in the presence of overlapping targets. Additionally, the reduced requirement for bandwidth in target resolution will allow for low-bandwidth systems to perform on …

Pushing The Limits Of Fermi-Gbm Data, Stephen Lesage

Dissertations

The Fermi Gamma-ray Burst Monitor (GBM) is a wide-field survey instrument in a low-Earth, low-inclination orbit. It contains twelve sodium iodide detectors and two bismuth germanate detectors which together span an energy range from ~8 keV to ~40 MeV and observe the entire unocculted sky (~70%). The highest resolution GBM data product is the time-tagged event data which has ~2 microseconds temporal resolution and 128 pseudo-logarithmically spaced spectral channels. All of these factors make Fermi the perfect instrument for detecting a wide variety of high-energy terrestrial and astrophysical phenomena. In this dissertation, I implement new data analysis techniques to explore …

Frameworks For Multi-Source Image Search Using Latent Space Feature Matching, Praveen Vijayakumar Phatate

Dissertations

In this dissertation we study frameworks for image matching for three distinct application scenarios: the first relates to positioning in GPS agnostic environments, the second relates to matching and retrieving similar images in an indoor environment sourced from multiple uncalibrated cameras and the third relates to matching and retrieving satellite images across multiple uncalibrated satellite cameras. We propose three different frameworks the first one based on the idea of transformers, the second one based on the idea of autoencoders and the third one based on the idea of Siamese networks. We report extensive experiments with novel datasets for each of …

Generalizing Coordination Threshold Graphical Games On Contagion And Secret Sharing Through Graph Features, Alexandra Fedrigo

Dissertations

Coordination graphical games depict interactions among a network of participants that must work together to achieve a desired outcome. Many sociological, economic, and political scenarios are modeled using these games. The flexible framework graphical games provide leaves a variety of parameters to be determined based on application, though the parameters that describe the network of participants are of central importance. There are several avenues previously unexplored in this area. In this work, a metric is introduced to describe graph fitness for a basic coordination graphical game and restrictions on the longterm behavior of the game are identified. Similarly, game outcome …

Middle-Level Teachers’ Attitudes On Disciplinary Literacy Instruction In The Non-Ela Classroom, Katherine E. Bowers

Dissertations

The persistent gaps in student achievement, particularly in the context of discipline-specific literacy skills, across public schools in the United States continue to widen. With a focus on South Carolina, this study investigates how professional development efforts have sought to address these gaps and enhance literacy instruction. Despite many initiatives, testing scores and teacher perceptions reveal limited progress in literacy outcomes. The study discusses a key challenge: the lack of substantial literacy instruction beyond English language arts (ELA) classes, resulting in a growing disparity between literacy mastery and the current reality. The research acknowledges the existence of literacy-focused professional development …

Insights On The Cranial Anatomy And Osteohistology Of Cyonosaurus, Alexander Acker

Dissertations

This study investigates the cranial anatomy and life history of the small-bodied gorgonopsian Cyonosaurus. Previous research on gorgonopsians has disproportionately focused on larger members of the clade, leaving smaller forms relatively understudied. This gap has led to several unresolved questions, the most pressing of which concerns gorgonopsian ontogeny. Specifically, it remains unclear whether small-bodied gorgonopsians represent genuinely diminutive adult individuals or juveniles of larger species. The specimen NHCC LB1087 presents an ideal opportunity to address this issue and gain new insights into the biology of small-bodied gorgonopsians. The first chapter focuses on cranial anatomy. Due to the specimen’s preservation, many …

Directed Assembly Of Magnetic Binary Suspensions, David H. Harris

Dissertations

Colloids are particle suspensions in a continuous medium. The particle interactions promote the assembly of structures under the influence of a magnetic field, known as directed-assembly. The magnetic properties and shape anisotropy are relevant features of the particle building blocks to the assembled structures. The dipolar interaction between colloidal particles for directed assembly has been extensively modeled considering spherical particle potentials, which is inaccurate when anisotropic particles are at close range. This research aims to address the problem of quantifying the dipolar interaction between arbitrarily positioned and oriented ellipsoids with different aspect ratios and material properties. We combine the recently …

Correlating Optical Phase And Atmospheric Coherence Width In Characterizing Turbulence, Scott Alexander Kaiser

Dissertations

This dissertation presents the development, validation, and optimization of a novel Hartmann Turbulence Sensor (HTS) for real-time, high-speed characterization of atmospheric optical turbulence. The HTS captures and processes live data at 1 kHz and reports turbulence parameters at 22 Hz. A key innovation is the integration of a dominant spectral component selection method into the Difference in Differential Tilt Variance (DDTV) algorithm. By using spectral analysis to identify areas of interest (AOIs) based on their dominant spatial frequency content, this method reduces computational load by up to 75% while maintaining a low RMS error. It also offers a visual representation …

Signal-To-Interference Degradation Due To Adc Dynamic Range For A Pulsed Doppler Radar Digital Signal Processor, Shawn Richard German

Dissertations

The objective of this study was to develop an expression for signal processor signal-to-interference ratio (SIR) improvement that combines factors that have historically been treated separately into a simple closed form expression, specifically factors such as analog-to-digital converter (ADC) dynamic range, phase noise, sub-quanta signal levels, signal-to-noise ratio (SNR), gain, automatic gain control (AGC), receiver noise, and signal and clutter characteristics. The SIR expression developed in this study quantifies how much a signal processor’s performance is degraded by the inclusion of an analog-to-digital converter (ADC) with respect to an equivalent well designed all-analog design. Using this unified SIR metric, expressions …

Toward Measurable Explainable Ethical Ai: An Llm-Driven Data Analytics Study, Greg Bacon

Dissertations

Large Language Models (LLMs) have been a hot area for popular and research audiences. Users marvel subjectively at Artificial Intelligence (AI) outputs — so much that OpenAI delayed public release of Generative Pre-trained Transformer 2 (GPT-2) back in 2019, citing ``safety and security concerns.'' This research advances ethical and transparent AI through qualitative and quantitative measures between user intent and LLM responses in a way that aims to assist users with clear indications of good and poor alignment and of where to backtrack to minimize bias and hallucinations. The use case is recommending grant topics in a United States Department …

Novel Ai/Ml-Based Frameworks For Protein Conformation Selection In Drug Discovery Applications, Shivangi Gupta

Dissertations

Drug development is a lengthy, expensive process with a high failure rate. The urgency brought on by the COVID-19 pandemic has accelerated the integration of artificial intelligence (AI) and machine learning (ML) to enhance drug discovery by increasing target specificity, reducing toxicity, and optimizing formulation strategies. Building on this momentum, this dissertation introduces novel AI/ML-driven frameworks for protein conformation selection and classification, addressing critical challenges in modern drug discovery. However, designing such a novel AI/ML data-driven framework is a difficult task because most real-world biomedical datasets suffer from class imbalance issues, which can significantly skew AI/ML model training, resulting in …

Analysis Of Second-Order Decoupled Time-Stepping Schemes For The Navier-Stokes-Debye-Hückel Model Of Electroosmotic Flow, Craig S. Bosma

Dissertations

Electroosmotic (EO) flow has attracted much attention in recent years due to applications in microfluidics, such as in lab-on-a-chip type systems. Because of the inherent difficulties in measuring and monitoring microfluidic channels, analysis of EO flow is often performed by numerical simulation. The Navier-Stokes-Debye-Hückel model — a simplification of the Nernst-Planck model which couples conservation of the ionic concentrations to the Navier-Stokes equations — is the preferred model for studying such flows when the zeta potential is small. In this work, we study the well-posedness of the unsteady Debye-Huckël model, and propose decoupled time-stepping schemes for numerical simulation. We demon- …

Observational Analysis Of Small-Scale Structures Across The Earth’S Bow Shock, Rebecca Harvey

Dissertations

This work identifies and characterizes magnetic structures in the solar wind and magnetosheath across the Earth’s bow shock. I investigate the differences between the properties of small-scale flux rope (SFR) structures immediately upstream and downstream of the bow shock by employing two data analysis methods: one based on wavelet transforms and the other based on the Grad-Shafranov (GS) detection and reconstruction techniques. 676 hours in the solar wind, and 1051 hours in the magnetosheath, of in situ magnetic field and plasma data from the Magnetospheric Multiscale (MMS) and Time History of Events and Macroscale Interactions during Substorms (THEMIS) missions were …

Online Chebyshev-Based Pseudospectral Methods For Nonlinear System Identification, Arian Yousefian

Dissertations

Nonlinear system identification plays a crucial role in developing effective control for various systems, including autonomous vehicles, robotics, and industrial process control. Acquiring the system model with minimal sensing and computation can significantly reduce control costs in these applications. Traditional adaptive control techniques often rely on uniform or high-frequency sampling, which may become impractical or computationally expensive for rapidly changing or high-dimensional systems. While Chebyshev-based pseudospectral (PS) methods have proven highly effective in offline contexts, their direct online implementation faces several challenges. Successfully approximating system dynamics online requires prior information about the approximation intervals to compute Chebyshev nodes for data …

Assessing The Selection And Impact Of Completeness In Technical Measure Sets In Systems Engineering, Casey Eaton

Dissertations

Technical measurement is foundational in large-scale complex engineered systems (LSCES) design and contract awards due to the state of practice of systems engineering. Although technical measurement is ubiquitous in systems engineering practice, the selection and assessment of the impact of a set of technical measures is often heuristics-based, rather than based on empirical evidence or theory. Current technical measure set selection has been observed to be subject to many challenges which, in turn, can degrade system outcomes. Two main thrusts comprise the research: selection and impact. Motivated by the potential impacts of a poor set of technical measures, a significant …

Existence And Stability Analysis For Non-Autonomous Systems Of Differential Equations In Multi-Dimensional Time, Michael Lott Jr.

Dissertations

This dissertation studies the existence and stability of solutions for a class of non-autonomous systems of differential equations in multi-dimensional time, within the framework of Banach space. Focusing on both hyperbolic and parabolic cases, it presents a comprehensive range of results on existence and stability over finite and infinite time intervals. By leveraging the theory of evolution families, this work uncovers the conditions under which these systems have solutions and provides an in-depth analysis of how these solutions evolve, offering fresh perspectives on their dynamic behavior over time.

F-Region Neutral Wind Responses To Magnetospheric Forcing In The Nightside Auroral Oval, Katherine Davidson

Dissertations

High-latitude neutral winds have a number of drivers, both from solar and magnetospheric origins as well as from the lower atmosphere. The efficiency of the individual thermospheric forces, in addition to the relative strength of ion-neutral coupling, are not well characterized. Because of this, the neutral wind response to changes in ionospheric convection is not well understood, with response times ranging on the order of tens of minutes to hours. Using both data driven and modeling simulation efforts, we aim to develop a better understanding of high-latitude ionosphere-thermosphere coupling. In order to do this, three individual studies will be done …

A Rubber-Band System For Dynamic Incentivization Of Parallelized Gamified Objectives, Nicholas Diliberti

Dissertations

With the advent of videogames as the world's first mass-market interactive media, gamification has emerged as the premier way to harness powerful behavior-affecting gamified elements and place them in other contexts, such as education, fitness, and rehabilitation. This transposition, however, ignores a key tenant of user engagement: reward ought to be aligned with effort. Most, if not all, current gamification systems dispatch static reward allocations for their spread of gamified behaviors. In this paper, an alternative is presented: dynamic gamification. This dynamic gamification reads the user's current gamified state for indicators of aptitude, dynamically remaps rewards with a tuneable evaluation …

Air-Breathing Hypersonic Missile Control Using Adaptive Higher Order Sliding Mode Control Driven By Finite- And Fixed-Time Sliding Mode Observers, Polk Yu

Dissertations

This research is focused on the study of the trajectory tracking of a Hypersonic Missile (HM) in its terminal phase of flight in light of the cross coupling, high nonlinearity, and uncertainty in the missile dynamics. This is coupled with unmatched disturbances and perturbations that all need to be compensated for in a really short time. In this research, a relative degree approach is utilized to design an adaptive higher order sliding mode control (AHOSM) for controlling the nonlinear perturbed HM. This technique allows for the proposed observation/differentiation/control (autopilot) algorithms equipped with adaptation capabilities to be employed for designing the …