Digital Commons Network^™

A Study Of Preferred Modality Of Education And Perceptions Of Academic Success Of Post 9/11 Student Veterans, Jason R. Wakefield

Theses and Dissertations

Veterans are pursuing higher education at increasing rates due to the benefits available upon separation or retirement from military service. Many choose online programs for flexibility, while others prefer traditional, in-person instruction. Regardless of modality, student veterans often face significant challenges completing their degrees. “When student veterans first enter college, they must transition to the overwhelming, independent, and fast-paced lifestyle of a college student” (Semer & Harmening, 2015). While online learning may contribute to these difficulties, other factors also hinder success.

Colleges and universities continue to explore why student veterans struggle to complete their programs, yet underlying issues may distort …

Navigating Cultural And Professional Identities: A Study Of Hispanic Women's Experiences In Aerospace Internship Programs, Jennifer Becerra

Theses and Dissertations

This phenomenological study investigated how Hispanic women navigated cultural identity and professional development during National Aeronautics and Space Administration (NASA) internship programs, examining the role of culturally responsive mentoring in supporting retention. The research question was, How do Hispanic women in aerospace-internship programs navigate the intersection of cultural identity and professional development as they transition from academic science, technology, engineering, and mathematics (STEM) programs to aerospace careers, and what role does culturally responsive mentoring play in supporting their retention?

Using Anzaldúa’s nepantla concept, Duncan-Andrade’s critical-hope theory, and Ladson-Billings’ culturally relevant pedagogy as theoretical frameworks, in this study, I employed semistructured …

Cyberbullying Victimization And Suicide Behavior: The Roles Of Social Anxiety And Body-Related Comparison Among Young Latina Adults, Monica Elena Ochoa

Theses and Dissertations

Suicide behavior rates have increased over the years in the United States among Latinas and adolescents/young adults. Previous research has identified relationships between various body-related concerns, (e.g., body dissatisfaction, appearance comparison, and body shame) cyberbullying, social anxiety, and suicidal ideation, yet minimal research has examined the relationship of these factors and how they interrelate to explain suicide risk in Latina young adults. This study investigated whether body dissatisfaction, appearance comparison, and body shame had indirect effects on suicide behaviors through the interaction of cyberbullying victimization in 194 Latina college students. The results of this study found that cyberbullying victimization mediated …

Adoptive Parents Use Of Social Media To Discuss Adoption Communicative Openness, Hannah Araba Baidoo

Electronic Theses and Dissertations

Adoption communicative openness (ACO) involves dialogue between adoptive parents and their adopted children about adoption-related issues. Through this communication, parents share information about birth families and address adoptees questions to support psychological well-being. Although ACO benefits adoptees, research rarely examines how adoptive parents themselves practice and experience openness. This study explores how adoptive parents discuss ACO with one another on the r/AdoptiveParents subreddit. Using qualitative discourse analysis, it examines how parents describe their challenges, and success surrounding communication openness. The analysis highlights parent’s concerns about when and how to disclose adoption information and the uncertainty that shapes their communication choices. …

The Perceived Effects Of Gaslighting In K-12 Public Schools: An Interpretive Phenomenological Analysis, Landon Williams

Dissertations

The problems and mechanisms of gaslighting in the K–12 academic setting parallel those in other professional contexts. The gaslighting phenomenon threatens the optimal performance organizations, although little research exists within the context of K–12 public education that addresses perceptions of gaslighting. The purpose of this qualitative research study was to investigate the perceptions of gaslighting among employees within a K–12 educational setting and to explore its potential impact. This study relied on data collected from interview participants (N=16) via Zoom and components of interpretive phenomenological analysis (IPA) to better understand the phenomenon of gaslighting in the context of K–12 education. …

Using Descriptive Phenomenology To Understand Women In Leadership Navigating Work-Life Integration Before And After The Coronavirus Pandemic, Tara Elaine Scroggins Glass

Dissertations

This phenomenological study examined the lived experiences of women leaders as they integrated professional and personal roles before, during, and after the COVID-19 pandemic. Although leadership during crisis has been widely studied, limited research has explored how women leaders across diverse sectors negotiated organizational change while sustaining worklife integration. Guided by the Haddon et al. (2009) model of work-life integration and informed by role conflict, conservation of resources, and intersectionality theories, this study sought to capture the essence of women leaders’ experiences navigating unprecedented disruption. Data were collected through semi-structured virtual interviews with twelve women leaders representing healthcare, education, corporate, …

Sustaining The Workforce: Using Improvement Science To Improve Teacher Self-Efficacy And Well-Being, Stephanie A. Hagerty

Dissertations

Teacher stress remains one of the most pressing challenges facing the education profession, contributing to job dissatisfaction and teacher attrition. This dissertation examines the impact of an intervention designed to improve teacher self-efficacy and well-being. The Leadership Alphabet of Disposition Development Engagement and Reflection (LADDER) framework on teacher self-efficacy and well-being was implemented within a middle school setting. Improvement Science and Adaptive Leadership guided the case study. As defined by Hinnant-Crawford (2020), “Improvement Science is a methodic way of improving; it is distinct from evaluation or impact studies” (p. 23). The goal was to design, implement, and evaluate a strategy …

Exploring Student Confidence And Calibration Accuracy In College Algebra: A Mixed-Methods Explanatory Sequential Study, Courtney T. Hill

STEMPS Theses & Dissertations

Calibration, or students’ ability to predict and postdict their performance on an academic task, has important implications for academic performance. It can influence students' decision making processes concerning learning activities, as well as their levels of motivation and self-regulation (Kolovelonis, 2023). The literature on calibration is clear, often indicating that students are not great at these judgements (Lin et. al, 2001). While this phenomenon is well documented, it is not an easy one to explain. Therefore, a two-phase explanatory-sequential mixed method design was used to examine undergraduate students’ calibration judgements on a college algebra exam. To further contribute to the …

Community College Student Parents And Their Experiences With Mindfulness Training, Polly Nesselrodt

Educational Leadership & Workforce Development Theses & Dissertations

Community college students who are parents (student parents) are highly motivated to succeed but face many challenges, including finances, transportation, and childcare, which leads to high levels of stress and anxiety. Mindfulness practices of returning to the breath and staying present in the body have been shown to help people manage stress and anxiety and live with greater ease. Using the stress and coping theory of Lazarus and Folkman (1984) as a theoretical framework, the purpose of this study was to examine the experiences of student parents who participated in mindfulness training. Participants attended mindfulness classes, facilitated by an instructor …

Un-Tempering The Tempered Radical: A Phenomenological Study Of Black Female Superintendents In Neoliberal Education Systems, Melanie Fitzgerald Daniel

Educational Leadership & Workforce Development Theses & Dissertations

The persistent and severe underrepresentation of Black women in K-12 educational leadership (just 1.4% of superintendencies) is a critical manifestation of Epistemic Injustice (Fricker, 2007) and the Architecture of Hostility. Dominant managerial paradigms in education structurally suppress the voices and devalue the expertise of Black women, leading to both testimonial injustice (credibility deficits) and hermeneutical injustice (misinterpretation of experience). This context forces them to pursue advancement within systems fundamentally structured to exclude them. This phenomenological study utilizes a nested theoretical framework, comprising Neoliberalism (macro-context), Epistemic Injustice (meso-critique), and Tempered Radicalism (Meyerson & Scully, 1995; Ngunjiri, 2012) (micro-agency), to illuminate the …

Making Explanations Make Sense: Xai For Smishing Detection, Eleni Alexandra Katsarakes

Psychology Theses & Dissertations

Explainable Artificial Intelligence (XAI) is a key component of effective human-AI collaboration, particularly in high-stakes domains such as cybersecurity. While AI tools hold promise for mitigating threats such as SMS-based phishing (SMiShing), their real-world effectiveness may hinge not just on detection accuracy, but on whether users can make sense of the system’s outputs. As SMiShing attacks grow in both frequency and sophistication, so does the urgency of designing human-centered AI systems that support user decision-making under uncertainty. This study examined how four distinct AI explanation types - Normative (rule-based), Attributive (feature-based), Exemplar (case-based), and Recommendation-Only - influence user performance, confidence, …

The Paradox Of Discipline: Equity, Standardization, And Black Student Outcomes In Public Schools, Latricia T. Davenport

Educational Leadership & Workforce Development Theses & Dissertations

Despite efforts to address profound discipline disparities impacting Black students, the implementation of alternative disciplinary approaches like Positive Behavioral Interventions and Supports (PBIS) and Restorative Justice (RJ) has failed to eliminate significant disproportionality in school discipline. This study investigates how teachers navigate the challenges of disciplining Black students within a paradoxical school environment that juxtaposes equitable, human-centered methods with a historically rooted managerial paradigm emphasizing uniformity and zero tolerance. Drawing upon systemic racism and the concept of 'apprenticeship of observation,' this study explores how teachers' implicit biases about Black students are formed by long-held institutional norms and personal experiences. It …

Comparative Analysis Of Emergent Behaviors Of Three Drone Swarm System Models For Targeting Using Agent-Based Modeling And Simulation, Arsenio T. Gumahad Ii

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation introduces a novel computational simulation framework for evaluating the emergent behaviors of three swarm drone models using Agent-Based Modeling and Simulation (ABMS). The three swarm models are a Leader-Follower swarm model based on Bruckstein's antline theory, a Flocking model based on a simplified Reynolds 'Boids’ model, and a Stigmergic model with pheromone-based coordination. The primary objective of the simulation is to evaluate the performance of these models in delivering a user-defined number of drones of each type to a target area of interest in four separate scenarios, resulting in 50,000 separate simulation trials. Each scenario was structured to …

Safety In Stability: A Cdc-Guided Evaluation Of Hospital Fall Prevention Practices, Matthew C. Dougherty

Electronic Theses and Dissertations 2020 - Present

Hospital falls remain a persistent and preventable cause of patient harm, emphasizing the need for continuous evaluation of fall prevention practices. This project assessed the effectiveness of AdventHealth Orlando’s fall prevention policy using the Centers for Disease Control and Prevention (CDC) Program Evaluation Framework. A mixed-methods design incorporated quantitative analysis of 12 months of fall data and qualitative feedback from frontline staff surveys and discussions. Results demonstrated a decrease in total falls from 549 in the previous year to 528 in the current year, indicating early progress despite the incomplete reporting period. Unit-level analysis showed a mean improvement of 16.9% …

From Awareness To Action: Improving Advanced Directives With The Five Wishes In College Aged Young Adults, Dina M. Giovanetti

Electronic Theses and Dissertations 2020 - Present

This quality improvement project aimed to increase early education, initiation, documentation, and completion rates of advance directives (ADs), specifically the Five Wishes, among college-aged young adults (18–24 years old) in a concierge primary care setting. The project addressed the low engagement and completion rates of ADs in this population, which can result in inadequate end-of-life care planning. The initiative involved training all staff members through collaborative instruction, informational sessions, and personalized provider-patient discussions. A convenience sample of eligible patients was identified via chart review. Inclusion criteria included English-speaking young adults aged 18–24, regardless of comorbid conditions who were members of …

Heartmath: A Stress Reduction Program For Healthcare Providers In An Addiction Treatment Setting, Dihana C. Ruiz

Electronic Theses and Dissertations 2020 - Present

Work-related stress significantly impacts the well-being of healthcare providers, specifically nurses and nurse practitioners, in addiction treatment facilities. This Quality Improvement (QI) project implemented the HeartMath Quick Coherence Technique to reduce stress and enhance resilience among staff, thereby improving the well-being of healthcare providers and the quality of care. The project utilized a pre- and post-intervention design with five participants, two registered nurses, and three nurse practitioners. Participants received training on HeartMath techniques, the EmWave Pro sensor, and the InnerBalance smartphone application. Over a six-week period, participants practiced Quick Coherence meditation for five minutes, twice daily, to achieve heart rate …

Persons With Alzheimer’S Disease And Related Dementias And Caregiver Burnout: A Quality Improvement Project, Reede A. Walke

Electronic Theses and Dissertations 2020 - Present

Alzheimer's Disease and Related Dementias (ADRD) represented an escalating public health challenge, profoundly affecting individuals, families, and healthcare systems. As the number of individuals diagnosed with ADRD rises, the prevalence of caregiver burden and burnout among those providing care also increases. The purpose of this quality improvement project was to evaluate the existing assessment processes for caregiver burnout and determine the effectiveness of the Zarit Burden Interview (ZBI), a measurement which identifies caregivers’ levels of stress, at a memory disorder center in south Florida. Sixteen caregivers reported overall mild-to-moderate caregiver burden, with a mean ZBI score of 22.19 (SD = …

The Effect Of Shared Decisions On Intertemporal Choice, Rosemarie M. Davidson

Masters Theses

Substance use disorders are a significant public health concern, and improving treatment outcomes requires a better understanding of the behavioral processes that influence drug consumption. Delay discounting, or the tendency to overvalue immediate reinforcers, is reliably more severe among individuals with substance use disorders. Recent work suggests that shared decision-making may increase tolerance for delayed rewards; however, prior studies used procedures that confounded delay to token delivery with delay to token exchange, limiting conclusions. The present study evaluates delay discounting across individual and social decision-making contexts using a traditional delay discounting paradigm.

Ten undergraduate participants completed sessions involving choices between …

Advancements In Visualization, Post-Processing And Ai-Enhanced Modeling Of Multi-Scale Micromechanics For Composite Materials, Joao Guilherme Brites Rei

Masters Theses

This study addresses some of the primary deficits of a localization/homogenization workflow for composite materials by focusing on the visualization and enhancement of models based on GMC and HFGMC, with emphasis on their implementation within the NASMAT ecosystem.

This thesis details the development of two dynamic, ParaView-based plugins that convert large hierarchical simulation outputs into interactive insights. While NASMATDiscreteElement systematizes RUC creation with transparent parametrization in a reproducible GUI, NASMATExplorerRUC enables the inspection of deeply nested datasets through accurate cell picking and synchronizes comparisons between parent and child views. Additionally, a shallow U-Net neural network is optimized on HFGMC data …

Evaluating Psychosocial Stressors And Mental Well-Being Of Construction Professionals From The Management Standpoint: An Exploratory Study, Md Tauhidul Karim

Masters Theses

Construction professionals face persistent workplace stressors that undermine their mental well-being outcomes. Despite progress in general job-related stressors, social and interpersonal aspects of psychosocial stressors traditionally remain underexplored in the construction management research. The present study examines how social and interpersonal factors influence construction workers’ mental well-being and how management’s awareness, responsiveness, and strategic roles evolved in the transition of the COVID-19 pandemic at the organizational level. An integrative mixed-methods approach was employed, combining a systematic literature review, a bibliometric analysis, and an exploratory case study to capture the current landscape of mental well-being and management standpoints in the US …

An Investigation Of Collateral Activity Effects On Behavior Maintained By A Drl 72‑Second Schedule, Cassidy M. Graham

Masters Theses

Impulsivity is a key behavioral trait with broad implications for clinical disorders such as Attention Deficit Hyperactivity Disorder ADHD, and substance use disorders SUD, where impaired inhibitory control contributes to maladaptive outcomes. In preclinical research, animal models provide valuable tools for examining behavioral processes associated with impulsivity. The Differential Reinforcement of Low Rates (DRL) schedule, offers a precise measure of response inhibition and timing by requiring subjects to withhold responses for reinforcement. This study employed DRL72s schedule to investigate impulsive action in male and female Sprague-Dawley rats, with an emphasis on sex-based differences and the potential influence of environmental factors. …

"Gross Normality" And "Marked Deviation": A Qualitative Study Of Disability Theory In Three Periods Of Sociological Literature, Kelsey Sullivan

Masters Theses

In the 20th century, three theoretical perspectives concurrently dominated sociological discussions of disability. Functionalism and Talcott Parsons argued for a pathologized framework in the form of a “sick role” occupied by disabled people. Interactionism and Erving Goffman emphasized the stigmas faced by individual disabled people, and the ripple-effects of those stigmas. Finally, disabled activists, inspired by social constructionism, championed the social model of disability. This model purported that disability is a social condition, resulting from systemic barriers imposed upon people who do not fit the mental or physiological norm. This project, through a content analysis of 30 historical journal articles, …

Analyzing The Hidden Impact Of Work Stress On Mental Health, Shaikha Aljabry

Theses

Occupational stress and deteriorating mental health constitute an increasing issue in the global community, and the problem of how job demands, personal resources, and cognitive processes interrelate to determine employee well-being is hardly known. This dissertation will study these dynamics by incorporating theory-driven Structural Equation Modeling (SEM) with data-driven Machine Learning (ML) methods that offer explanatory and predictive information. The study examines the influences of job demands, personal resources, effort–reward imbalance (ERI), emotional labor, cognitive appraisal, and social support on the stress and mental health outcomes of a sample of 5,000 employees working in various industries and regions of the …

Rise Of Social Media Hacking: Ai-Based Ip Tracking For Uae Law Enforcement, Mounikha Naarrayen Chakravarthula

Theses

Social media has evolved into a critical channel for communication, expression, and public influence, but it has also become a prevalent avenue for cybercrime, particularly in digitally advanced nations such as the United Arab Emirates (UAE). The rising complexity of online offences, coupled with anonymisation tools and cross-border digital behaviour, has made the attribution of social-media-based cyber incidents increasingly challenging for law enforcement. In this context, artificial intelligence (AI) offers the potential to strengthen digital investigations by providing intelligent, scalable, and evidence-driven attribution capabilities. This research develops an AI-assisted Internet Protocol (IP) attribution framework tailored specifically for UAE law enforcement …

Unmasking Corruption And Bribery Using Predictive Analytics, Maha Salem

Theses

The initiative (Unmasking Corruption and Bribery Using Predictive Analytics) aims to identify employees in government sectors who commit corruption and bribery by addressing issues such as the lack of transparency, fairness, equality, and public trust, as well as weakened loyalty and poor reputation. This project focuses on data analytics and predictive modeling to detect suspicious or high-risk employee behaviors related to corruption and bribery. The main objective is to reduce these unethical activities in government sectors, strengthen integrity, and promote transparency and public trust through predictive capabilities. It also seeks to raise awareness about how serious and harmful these crimes …

Predicting Mental Health Risk In Remote Workers: A Machine Learning Approach, Majed Al Mheiri

Theses

This dissertation explores the application of machine learning in mental health risk prediction of remote workers, which is increasingly becoming a significant issue, with the practise of flexible working reshaping organisational practises. It is based on the theoretical framework that has been used previously such as Job Demands Resources model and Stress-Strain model which emphasise the role of workload, support systems and personal resources in determining the well-being of employees. The context of the study indicates the growing rate of remote and hybrid employment, and the associated increase in the number of issues associated with stress and isolation, as well …

Comparative Analysis Of Machine Learning Models For Spam Email Detection, Rashed Almarri

Theses

The current research examines one of the most effective approaches to spam email detection based on machine learning and natural language processing (NLP). The study is placed in the context of the rising cyber threats and the influx of emails, where the spam/ham data is to be classified correctfully using the combination of the Logistic Regression, NLP (including tokenization, lemmatization, and TF-IDF vectorization). The questions of the research were devoted to the efficiency of such an approach and the interpretation of its results. The data used are obtained by a publicly available Kaggle data set that contains 5,572 labeled email …

Persuasive Pathways In Digital Apologies: The Role Of Persuasion Routes In Engagement With Youtuber Apology Videos, Darrin Majocha

Theses

This study explores how viewers process YouTube apology videos and how those processing methods relate to their judgments of the creator and their willingness to continue engaging with the channel. Guided by the Elaboration Likelihood Model, a single-session online survey experiment randomly assigned 413 adult participants to watch one of five publicly available apology videos from well-known YouTubers. After viewing, participants reported the extent to which they engaged in central versus peripheral processing, rated the creator's credibility and the apology's sincerity, and indicated their intentions to engage. Central processing was positively associated with engagement intentions, whereas peripheral processing was weakly …

An Interpretable Machine Learning Framework For Detecting Phishing Urls Based On Lexical Features, Khalid Alrokhaimi

Theses

Phishing attacks represent one of the most significant and persistent threats in the cybersecu- rity landscape, with attackers increasingly using sophisticated URL manipulation techniques to deceive users and steal sensitive information. Traditional detection methods, which rely primarily on blacklists and heuristic rules, struggle to identify zero-day phishing URLs that have not yet been catalogued in security databases. This research addresses this critical gap by developing an interpretable machine learning framework for detecting phishing URLs usingclexical, structural, content-based, and domain metadata features. The study employs a comprehensive dataset of 11,430 labeled URLs (5,715 legitimate and 5,715 phishing) with 87 extracted features, …

Predictive Maintenance For It Equipment Using Machine Learning Models, Rashed Khalid Alshirawi

Theses

Predictive maintenance was recently introduced as a paradigm shift in the field of smart manufacturing, and it allows organizations to predict equipment failures and streamline maintenance planning based on the data-driven insights. The present work addresses the concept of the implementation of a decision tree-based predictive maintenance model based on AI4I 2020 Predictive Maintenance Dataset, a simulated environment of an actual industry through sensor data including temperature, torque, rotational velocity, and toolwear. The study uses a quantitative approach that is based on positivism philosophy, which is the focus on objectivity, empirical validation, and statistical testing of the model performance. Synthetic …