Digital Commons Network^™

Predicting Job Performance: The Incremental Validity Of Cognitive Reflection Tests Over General Cognitive Ability And Conscientiousness., Olivia Earll

Theses and Dissertations

Cognitive reflection is the ability to suppress intuitive thinking (Type 1) in favor of deliberative, analytical thought (Type 2). This study investigated cognitive reflection as a predictor of supervisor-rated job performance, exploring its incremental validity over general cognitive ability and conscientiousness. Results indicated that all three variables positively predicted job performance, with cognitive reflection explaining a significant, unique portion of the variance. Exploratory analyses confirmed that this predictive validity remained consistent across industry, age, and sex. Furthermore, cognitive reflection significantly moderated the relationship between general cognitive ability and job performance. These findings highlight the value of deliberative reasoning as a …

Data Defines Success: Algorithm For Dataset Quality Assessment In Deep Learning For Malware Detection, Matei Ionescu

Theses and Dissertations

The field of artificial intelligence is based upon the premise of constructing architectures through which to propagate training data. However, the majority of existing research literature is focused on architecture. While necessary, the attention devoted to the architecture should not so precipitously exceed that of the data. It should be noted that this disparity is not without reasonable cause. Data quality is often exceedingly difficult to verify due to particularities of the field or subfield; LLM repositories of text are distinct from image recognition pictures of dog breeds which are distinct from EEG waveforms of human brains which are distinct …

Staff Attitudes Toward Ai Adoption At A Private Research University, Ashley C. Smith

Theses and Dissertations

This study addresses the limited research on university staff attitudes toward artificial intelligence use and adoption. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) research framework, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and quantitative survey methodology, the study examines the attitudes of higher education staff toward AI, specifically examining whether demographic or professional characteristics are factors. The findings indicate that staff had moderately negative attitudes toward AI while also expressing some concerns. The results suggest that more resources and support for AI are needed for staff to address concerns. It also suggests that construct-level analysis …

Middle School Students' Initial Ideas And Their Connections In Proportion Word Problems, Carrie Ann Lawton

Theses and Dissertations

In this dissertation study, I sought to identify the initial ideas that middle school students had when approaching Multiple Batches and Variable Parts proportion word problems, as well as the connections they made among those initial ideas. I conducted semi-structured individual and paired interviews with 13 sixth- and seventh-grade students at the end of their school year. I then used the Knowledge-in-Pieces theoretical perspective to identify knowledge resources that the participants accessed when approaching the tasks, prior to any intervention on my part.

Through my analysis, I identified 18 initial ideas that the middle school students employed when solving the …

Determining Knowledge Gaps In Natural Disaster Preparedness: An Exploratory Analysis Of Socioeconomic Variables And Response Quality, Michelle S. Repass

Theses and Dissertations

This exploratory study examines potential knowledge gaps in natural disaster preparedness across socioeconomic groups in Lee County, Alabama and identifies communication barriers affecting response behavior through the lens of the knowledge gap hypothesis. Survey data from 20 residents were analyzed using an objective socioeconomic status (OSES) score based on household income and highest level of education. Results indicate that while most respondents reported access to weather alerts and favorable behavioral responses that align with current guidelines from the National Weather Service, gaps are present in comprehension, response timing, and engagement in risky behavior that could delay protective action. Findings suggest …

Machine Learning For Predicting Prosthetic Limb Movements, Jessica Alexandra Cegarra Arraiz

Theses and Dissertations

This thesis develops and evaluates a deep learning-based prediction model capable of identifying intended limb movement from surfaced electromyography (sEMG) signals using sequence learning techniques. sEMG signals change over time due to multiple factors such as muscle fatigue or user variability. Traditional prosthetics control methods rely on static feature extraction, ignoring how signals change over time, thereby limiting their ability to capture the temporal changes of muscle activity. As a result, these approaches often lead to poor accuracy, robustness, and generalization. Limited experimental validation has been conducted on sequence-based machine learning approaches using temporal sEMG data from publicly available datasets …

Exploring Secondary Stem Teachers’ Experiences In Online Learning Environments: A Directed Content Analysis Using The Community Of Inquiry Framework, Tiffany Janese Lester

Theses and Dissertations

This study is a directed qualitative content analysis of 21 peer-reviewed studies published between 2020 and May 2025 on secondary STEM teaching in online environments. Using the Community of Inquiry framework, I examined how teaching, social, and cognitive presence shaped instructional strategies, teacher experiences, and reported challenges. Coding with deductive and inductive methods identified recurring themes: teachers adapted to digital platforms, navigated uneven levels of digital fluency, and implemented intentional strategies to maintain social interaction. The studies also revealed persistent equity gaps in access and participation alongside innovative approaches to course and pedagogical design. These themes demonstrate how secondary STEM …

Evaluating Hybrid Quantum-Classical Models For Image Classification In The Nisq Era, Utku Binkanat

Theses and Dissertations

This thesis presents a systematic empirical evaluation of quantum machine learning performance under noisy intermediate-scale quantum (NISQ) era constraints. Through 670 controlled experiments, it evaluated quantum kernel support vector machines and variational quantum classifiers against classical baselines on MNIST binary and multiclass classification tasks with systematic variation of problem difficulty, feature dimensionality (4, 8 qubits), and training set size (n ∈{100, 250, 400, 500, 2000, 4000}). Statistical rigor was ensured through five random seeds per condition and comprehensive significance testing. During the testing with binary datasets, classical methods (SVM, logistic regression, k-NN, neural networks) achieved 85.9% to 99.6% accuracy with …

Ai And Its Impacts On Modern Theatre, Micaiah J. Byrd

Theses and Dissertations

What do you think of when you type a question into a search engine, and the “AI Overview” pops up without your having to request it? What may happen if theatre students and theatre industry professionals have that same ability to type in a prompt into an AI generator, and it has the ability to produce an output of a theatrical design concept with that same level of ease. Is this even possible with the programs that we have now, or could it be anticipated that this could be possible in the future. Would this be a benefit or would …

Confidence In Action: A Qualitative Inquiry Into Teachers' Perceived Abilities In Implementing Instructional Technology, Latorri West

Theses and Dissertations

Education is evolving through the integration of academic content and technology to support student success. Despite significant investments in educational technology, challenges persist in effective implementation, particularly in rural contexts where resources and support may be limited. Using the Technological Pedagogical Content Knowledge (TPACK) framework, the researcher investigated teachers’ perceptions of implementing the i-Ready adaptive learning platform in a rural Georgia school district. i-Ready, an adaptive diagnostic and instructional tool for reading and mathematics used by more than 25% of U.S. schools, represents a widely adopted educational technology that requires specific technical, pedagogical, and content knowledge for successful implementation.

The …

A Pipeline For Creating Obfuscated Binary Samples To Train Ai-Powered Detection Models, Luka R.H. Wilmink

Theses and Dissertations

The analysis of binary files is a critical component of antivirus software and is one of the most important tools for incident response teams across the industry. In the field, malware is often obfuscated, a practice in which the compilation process is transformed with different techniques to hinder decompilation and reverse engineering. Artificial Intelligence and Machine Learning techniques can assist, but models need to be trained on well constructed datasets first. This paper outlines a pipeline for creating such a dataset and builds a proof-of-concept machine learning classification model. All associated data and code are supplied in the project GitHub …

Film For Jeanette, Brice Goldberg

Theses and Dissertations

Film for Jeanette is an experimental documentary concerning grief, memory, and what remains of those who have left this physical plane. The film paints the portrait of my late sister, Jeanette Lee Goldberg, who died in a car accident when she was 19. What begins as a memorial becomes a celebration of her life and an exploration into the complexities of her character that led to her death. Jeanette’s story is told through interviews with family members, while the visuals, created with various alternative 16mm film techniques, depict my own journey through the filmmaking process. I was only 3 when …

Leading For Wholeness: Black Girlhood, Morrison And Hurston, And The Epistemology Of Flourishing In Independent Schools, Kamaya Prince Thompson

Theses and Dissertations

This study investigates how Black girls in US independent schools experience Zora Neale Hurston’s, Their Eyes Were Watching God, and Toni Morrison’s Song of Solomon, alongside the larger, traditional literary canon taught within high school English classrooms as texts that can shape their sense of self. In this project, wholeness is defined through a tripartite framework consisting of three interconnected parts: Self (a deepened sense of identity and ways of knowing), Community (experiences of belonging, safety, mentoring, and joy), and Purpose (the development of values, meaning, and a sense of connection both to the community and self). These aspects are …

The Relationship Between Fixed Mindsets, Irrational Beliefs, And Athletic Performance In High School Track And Field Athletes, Gianna Bolusi

Theses and Dissertations

Sports performance research demonstrates that growth mindsets and flexible belief systems enhance athletes’ performance, while studies on fixed mindsets and irrational beliefs reveal detrimental effects. How irrational beliefs may influence the relationship between fixed mindset and athletic performance has not been explored in high school aged athletes. This research seeks to understand the role of irrational beliefs in the relationship between fixed mindsets and objective and subjective athletic performance. Measures of irrational beliefs, fixed mindsets, perspective of performance and styles of evaluating performance were analyzed among 211 competitive high school aged track and field athletes with a mean age of …

Middle Grades English Language Arts Teachers’Experiences Of Care: A Narrative Case Study, Kathleen Rose O’Farrell

Theses and Dissertations

This narrative case study examined how four middle grades English Language Arts (ELA) teachers enacted care in a suburban Northeastern U.S. middle school. Drawing on interviews, classroom observations, instructional artifacts, and notes, the study developed narrative portraits to examine how care was experienced and enacted within daily instructional practices. Guided by Nel Noddings’s (2013) care theory and Geneva Gay’s (2018) culturally responsive care framework, the study explored how teachers sustained meaningful and equitable instruction amid post-pandemic academic, social-emotional, and technological shifts. Findings revealed care as the instructional foundation, making equitable and meaningful literacy learning possible with three interrelated dimensions: trust, …

Multi-Tier Systems Of Support: A K–12 Case Study, Christopher Foster

Theses and Dissertations

Multi-Tiered Systems of Support (MTSS) has emerged as a widely adopted framework intended to address student academic and behavioral needs through tiered intervention systems and data-informed decision making. While many school districts have implemented MTSS frameworks, variability in implementation across grade levels and school contexts continues to affect the consistency and effectiveness of these systems. The purpose of this qualitative case study was to examine the implementation of MTSS across the K–12 continuum within a public school district in the northeastern United States. The study explored three central areas: the structural features supporting MTSS implementation, stakeholder perceptions of MTSS effectiveness, …

Teacher And Administrator Perspectives On Participation In Professional Learning Communities And Their Impact On Collective Teacher Efficacy: A Multi Case Study, Maria Kambourakis

Theses and Dissertations

Urban educators face ongoing challenges in establishing collaborative cultures that effectively maximize student achievement. To address this research problem, this qualitative case study investigates how teachers and administrators perceive their participation in Professional Learning Communities (PLCs) and how these perceptions shape Collective Teacher Efficacy (CTE). Grounded in Bandura’s social cognitive theory of collective efficacy and DuFour’s PLC framework, the research explores how structured collaboration enhances educators' shared beliefs in their ability to positively impact student learning. The researcher employed a qualitative case study design involving eight teachers and two administrators across two non-public, urban K-8 schools in Brooklyn, New York. …

Using High Speed Kinematics To Investigate Kinematic Variation Across Populations Of Astyanax Mexicanus, Agniva Sinha

Theses and Dissertations

Kinematic analysis pipelines now provide temporal and geometric resolution for determining a variety of body movement. These machine-learning trained programs allow behavioral neuroscientists to dissect complex behaviors and relate changes in those movements to conserved neural assemblages. These analyses are common in model organisms, but a lack of ethologically driven kinematic work in non-models has hampered our understanding of how evolution shapes behavior through sensorimotor circuits. Astyanax Mexicanus is a unique model organism that allows us to understand how evolutionary divergence as a result of adaptation to environmental conditions leads to genotypic and associated phenotypic changes in brain development and …

Embracing Pluralism In Catholic Schools: Administrative And Faculty Perspectives On Multiculturalism In Education, Gerard J. Buckley

Theses and Dissertations

This quantitative, nonexperimental study examined faculty and administrative perspectives on multiculturalism in Catholic schools across New York State. Archived New York State Education Department (NYSED) data were analyzed to identify student race/ethnicity enrollment trends in Catholic schools from 2013 to 2025, alongside survey data measuring Catholic school educators’ perceptions of multiculturalism. Survey participants included faculty and administrators from seven dioceses across New York State. Data were analyzed using ANOVAs and multiple regression. The study addressed two primary areas: changes in racial/ethnic enrollment over time and differences in educator perceptions on multiculturalism based on demographic and professional factors. Findings showed a …

The Impact Of Artificial Intelligence On Higher Education Enrollment, Shonna L. Jones-Washington

Theses and Dissertations

The purpose of the study was to examine the influence of AI-driven chatbot technology on the progression through the undergraduate admissions funnel, including application, admission, and enrollment, and to explore how AI outreach intensity predicts these outcomes while addressing potential disparities across student subgroups. The study involved 24,141 data records, including both domestic and international undergraduate applicants to St. John’s University for the Fall 2025 semester. The study found that AI interaction was associated with higher admission rates (83.0% vs. 75.7%) but revealed no significant relationship between AI usage and final enrollment rates. Quantitative analyses, including chi-square tests, binary logistic …

Analytics Framework For Cyberattack Risk, Severity, And Timing Prediction Using Survival - Aware Sequence Modeling, Mariia Voronina

Theses and Dissertations

This study aimed to develop an analytics framework for cyberattack risk, severity, and timing prediction using survival-aware sequence modeling. The primary objective was to analyze the temporal dynamics of cyberattacks by jointly considering attack type, severity, risk, and time-to-attack, and to evaluate whether these components can be effectively modeled within a probabilistic framework. The analysis was conducted using a synthetically generated cyberattack dataset designed for cybersecurity research purposes. The dataset included multiple attack categories, such as DDoS, Intrusion, Malware, severity levels, and engineered risk measures. Python was used as the primary programming language for data analysis and model development. The …

Exploring Perceived School Administrator Leadership Support And Teacher Burnout, Matthew H. Stifelman

Theses and Dissertations

Burnout is an issue that affects those in numerous occupational settings and comes with tremendous risks for physical and psychological consequences (Edú-Balsania et al., 2022). Burnout is defined as one’s psychological response to chronic work stressors that can cause cognitive, emotional, or physical health damage (Maslach & Leiter, 2016). Decades of research have identified numerous risk factors for burnout across occupations. Risk factors include job and personal values, workload, lack Burnout is an issue that affects those in numerous occupational settings and comes with tremendous risks for physical and psychological consequences (Edú-Balsania et al., 2022). Burnout is defined as one’s …

Interference Under Pressure: Task-Switching And Cognitive Control In Adhd, Rocio Belen Varela

Theses and Dissertations

Attention-Deficit/Hyperactivity Disorder (ADHD) is a widespread neurodevelopmental condition associated with significant academic difficulties, often resulting in students scoring a year below average on standardized examinations (Lawrence et al., 2020; Mohammadi et al., 2019). A proposed core feature of the disorder involves impairments in working memory (WM), specifically the Central Executive component responsible for attentional control (Alderson et al., 2013; Kofler et al., 2008). These WM operations are governed by two cognitive control modalities: proactive control (sustained, anticipatory maintenance) and reactive control (cue-driven, on-demand processing) (Braver et al., 2007). This quasi-experimental study investigated whether a natural tendency toward reactive control grants …

Performance-Based Funding’S Influence On Higher Education Through The Eyes Of Department Chairs, Jonathan W. Lackland

Theses and Dissertations

Performance-based funding (PBF) has become a widely adopted policy in higher education, linking state appropriations to measurable outcomes such as graduation rates, degree completions, and workforce alignment. While PBF aims to enhance institutional accountability and efficiency, its implementation has raised significant concerns about equity and political influence. This dissertation examines the political equity and implications of PBF policies through a mixed-methods approach, including surveys, interviews with department chairs, and critical discourse analysis of state statutes and legislative debates. The findings reveal that PBF often exacerbates inequities, particularly for non-flagship universities serving diverse and under-resourced student populations. Department chairs expressed concerns …

An Application Of Molecular Dynamics To Hed Plasma Physics: Point And Group Defect Diffusion In Coulomb Crystals, Levi Webb

Theses and Dissertations

Molecular dynamics (MD) simulations are used to explore the microscopic behaviors of complex systems that cannot be easily studied experimentally. In particular, the microphysics of high energy density (HED) astrophysical plasma environments remain inaccessible by modern experiment---even in laser facilities, these plasmas exist only on short timescales that do not lend easily to investigation. The diffusion of point and group defects through crystallized plasmas in the cores of white dwarfs and neutron star crusts, called Coulomb crystals, has potentially macroscopic implications for the evolution of these bodies. Thus, I employ the widely-used MD code LAMMPS to simulate small Coulomb crystal …

The Impact And Sustainability Of A School Improvement Grant On Student Outcomes In An Elementary Setting, Tiesha Denise Reed

Theses and Dissertations

The purpose of the study was to examine the impact and sustainability of the School Improvement Grant (SIG) Transformation Model and to determine its impact on a low-performing elementary school. The research study used a quantitative research design to investigate the effects of the SIG on student achievement and school annual reporting data across three time periods: pre-intervention (2014-2015), post-intervention (2016-2017), and six years after the grant ended (2022-2023). The research design was appropriate because it allowed the researcher to collect archival data and examine potential differences across time periods. The independent variable was the three time periods, and the …

The Returns On Educational Investment: Military Retention Among Mid-Grade Enlisted Soldiers After Army-Funded Degree Completion, Robert Kenneth Bandy Jr.

Theses and Dissertations

The U.S. Army Tuition Assistance (TA) program represents a substantial investment in the education and professional development of enlisted soldiers, yet limited empirical research has examined retention outcomes among soldiers who complete degrees using TA. The purpose of this quantitative correlational study was to examine the relationship between selected demographic and educational characteristics and time-to-separation among enlisted U.S. Army soldiers who completed a degree using TA between fiscal years 2023 and 2025. Guided by Human Capital Theory, the study used archival administrative data from the Army Continuing Education Division (ACED) and the Integrated Personnel and Pay System-Army (IPPS-A). A stratified …

Play-Based Learning In Private International Preschools In Cairo: Teachers' Perspectives, Kesha L. Stovall

Theses and Dissertations

This thesis explores how play-based learning is practiced and contextualized in private, international preschools in Cairo, Egypt through the perspective of teachers. It calls upon both historical and contemporary theories of play and play pedagogies ranging from the times of Plato and Al-Farabi to the 21st century with Montessori and Dewey. Using a contemporary theory of play presented by Stuart Lester and Wendy Russell as a guiding framework, it examines how play and play-based learning are implemented, shaped and even challenged in a Cairene context. These contexts include sociocultural factors such as parents’ expectations and aspirations, institutional barriers, teacher development …

Propensity Score Matching Accounting For Longitudinal Trends Before Baseline With Group-Based Trajectory Modeling, Dustin R. Bastaich

Theses and Dissertations

Propensity score matching is used in observational studies to balance baseline attributes between a treatment of interest and a control group. Propensity score matching typically relies on baseline variables, but longitudinal trends in patient characteristics can also influence treatment decisions and subsequent health outcomes. This dissertation extends standard approaches by explicitly incorporating longitudinal trajectories of key variables into the propensity score estimation process.

Trends in a longitudinal variable prior to baseline were characterized using group-based trajectory modeling. A two-step modeling approach was implemented where trajectory groups of a key variable were first estimated and then included as covariates in the …

What Is School For? Interpreting Purpose And Practice In A Microschool Case Study, Cammie D. Justus-Smith

Theses and Dissertations

This dissertation examines how one microschool interprets and enacts the purposes of schooling through a qualitative case study of Summit School, an Acton Academy affiliate in a mid-sized Southern city. Situated within broader debates about school choice and alternative education, the study explores how Summit’s vision, structures, and participant experiences illuminate enduring tensions in schooling: civic versus economic aims, public good versus private benefit, and innovation versus institutional continuity. Drawing on interviews, focus groups, observations, and school documents, the study treats Summit not as representative of microschools broadly, but as a bounded case through which larger questions about educational purpose …