Digital Commons Network^™

Connections Through Stories In A Small Town In Rural Virginia, Andrea Plamondon

Dissertations

Stories are powerful tools used for centuries to entertain, teach, empower, and build community. Neuroscience research shows that stories impact the brain in ways that allow us to increase empathy and connect with people (What Happens in the Brain When We Hear Stories?, n.d.; Yang, 2014; Zak, 2015). Community Psychologists have used stories to collect qualitative data and life experiences to create or change a community narrative and address community trauma (Hyman, 2002; Rappaport, 2000). While existing research describes the power of stories and provides storytelling techniques, this research study identified a new method – The Community Story …

Building Partnerships With Indigenous Communities, Andrea Plamondon

Dissertations

Non-indigenous researchers embark on research with indigenous communities with good intentions but can unintentionally continue to oppress. While existing research shows building partnerships with indigenous communities, requires researchers to work “with” not “for” communities and walk side-by-side, and to do so with reciprocity, respect, relevance, responsibility and reverence, this research study identified an iterative model to learn, follow, and emerge research relationships through ongoing connections and outlined the mindsets to consider and assess often. Ten non-indigenous researchers from the US and Canada shared their stories about building relationships with indigenous communities. Through their stories of successes and challenges, strengths and …

Professional Learning Communities: Structures And Implementation For Small Middle Schools And Singleton Teachers, Gerrie Aulisa

Dissertations

Professional Learning Communities are essential to building interdependent collaborative teacher teams to elevate teaching and learning for students. One struggle with implementing PLCs comes about when you have singleton teachers who do not have a colleague who teaches the same grade and content as them. This study reviewed the research-based PLC implementation strategies used at one small middle school. The main research question was: How can PLCs work effectively for small middle schools and singleton teachers? Other related questions were:

● How can PLCs feel relevant to our elective area teachers?

● What determines a successful PLC?

● Should middle …

The Impact Of Covid-19 On The Academic Achievement And Mental Health Of Elementary Students: Covid-19 Effect On Students In Pre-K Through 4th Grade, Ashlee Stanley

Dissertations

School closures and student isolation due to COVID-19 affected all students, particularly those in poverty. In addition to the damage to student learning, a mental health crisis emerged as many students lost access to school services. This mixed methods study aimed to evaluate the effect of COVID-19 on United States elementary students’ academic achievement and mental health. I found in my study teachers and school counselors struggled but were able to provide support to students in a variety of ways. I recommended a policy where all schools have a mental health therapist on site to assist students and teachers.

First In My Family: Overcoming Obstacles And Utilizing Resources To Successfully Complete The Educational Journey, Milana Tarbuk Migic

Dissertations

First-generation college students encounter many hardships when trying to persist throughout their educational journey. They are expected to be successful in navigating their careers, family life, and school – all without anyone else’s experience to reference. When a student is the first in their family to go to college, they are expected to succeed with a lack of understanding the process. This qualitative study explores what assets first-generation students have and apply in their college experience that contribute to their persistence. This research is guided by Dr. Tara Yosso’s Cultural Wealth Model which examines many forms of cultural capital that …

Understanding Latino Students' Perspectives On Their High School Experiences And Post-Graduation Options, Rubi Ortiz

Dissertations

Projections from the U.S. Department of Education National Center for Education Statistics indicate Latinos will constitute 30% of the school-aged population in the United States by the year 2030. Enhancing the quality of education for this demographic becomes increasingly crucial. Such improvements not only benefit Latino communities but also hold significant implications for the progress and future prosperity of our nation. The focus in this study was to understand Latino students’ perspectives on their high school experiences and post-graduation options, as well as to explore the influence of high school programming on their experiences. This qualitative study was conducted with …

A Program Evaluation Of The Necessary Attributes, Accommodations, And Resources Neurodivergent Students Require For Success In Higher Education, Barbara Muñoz

Dissertations

Without academic resources and accommodations, neurodivergent students with mild to moderate Learning Disabilities (LD) may be unable to navigate the academic challenges and rigor associated with college success. I used a mixed-methods research design to collect data from various stakeholders to determine the supports neurodivergent students with LD need to be successful in college. My findings indicated students need accommodations for their learning differences, access to assistive technology, access to counseling or mental health services, and access to specialized support personnel to be successful. I recommended a policy to ensure neurodivergent students and their caregivers are aware of post-secondary institutions …

Why Not Community College As A Pathway To A Degree, Gretchen Jorndt Reyes

Dissertations

This qualitative phenomenological study aimed to understand if Gen X parents are motivating their Gen Z students' college choice not to attend community college. The few studies that focused on parent involvement in choosing a community college did not focus on the generational differences between parents and their children when it came to college choice, they also did not focus on whether parents influenced their children to attend community college or not (Bers, 2005; Bers & Galowich, 2002).

The study explored Ajzen’s Theory of Planned Behavior and how his theory and the college choice process are intertwined during the college …

An Exploration Of Contributors To Intergenerational Trauma Transmission In American Families: Parental Life Experiences And Parenting Styles., Shantrell P. Sutton-Mckenzie

Dissertations

Preexisting research on intergenerational trauma transmission primarily addresses biological and behavioral routes of transmission, leaving little room for systemic influences. This research reviews preexisting biological and behavioral contributors and explores systemic contributors to intergenerational trauma transmission in American families as it relates to post-traumatic growth, parental centrality distress, and parenting styles. It was that post-traumatic growth and parental centrality of distress (comprised of ACES, centrality of events, and access to community resources) and PTG predict parenting styles. The research hypothesis was partially supported. It was found (1) Post-traumatic growth, ACEs, and perceived access to community resources while parenting added significantly …

The Role Of Work-Based Learning In Developing Future Skills And Competencies For The Workforce In The Fourth Industrial Revolution, Dorith Johnson

Dissertations

The study investigated the impact of work-based learning on developing skills and competencies required for the Fourth Industrial Revolution. Educators must adapt to what students need to succeed in this era. In this study, seven participants who oversee or have overseen a portion of various work-based learning initiatives engaged in a semi-structured interview process. The interview questions inquired about teacher preparation, practical strategies, programs or models of work-based learning, challenges and limitations, sustainability, and the impacts of different work-based models on employability skill development. The results provide hope that work-based learning can play a crucial role in today’s more technologically …

A Modified Grounded Theory Analysis Of Luke’S Understanding Of His Thought Disorder, Daniel Dresher

Dissertations

This current Clinical Research Project examines patterns of therapeutic processing in “Luke”, a male diagnosed with schizophrenia, and how his understanding of his psychotic breaks and mental illness evolved over the course of person-centered psychotherapy. A modified grounded theory approach was used by multiple coders to analyze transcribed text samples from selected archival therapy sessions selected between 1996 and 2019 to develop further hypotheses as to how "Luke" uses schizophrenic language to process experience in ways that are clinically effective as well as ways that hinder his understanding of his experience. Results of this study demonstrated that while Luke’s use …

A Convergent Parallel Mixed Methods Examination Of The Impact Of Graduate Student Loan Balances On Overall Quality Of Life Among Clinical Psychologists With Psyd Degrees, Lekai James

Dissertations

Graduate student loan debt in psychology, particularly for those with Doctorate in Psychology (PsyD) degrees in clinical psychology, is highly problematic. Previous research has shown that student loan debt negatively impacts quality of life (QOL) by affecting subjective well-being (SWB) and life satisfaction (LS). This study used a convergent parallel mixed method approach, guided by bottom-up spillover theory and Maslow’s hierarchy of needs, to explore the relationship between QOL and total graduate student loan balances, as well as the effects of income and monthly student loan payments on QOL among PsyD graduates. Participants (N = 16) completed a survey with …

Determining Factors For Improved Uptake Of Harm Reduction Services In The United States: A Study Of Inclusive, Culturally Sensitive Messaging, Lauretta Ekanem Omale

Dissertations

Harm reduction refers to public health policies and programs aimed at decreasing the adverse consequences associated with drug use. While harm reduction services (e.g., syringe exchange programs) can mitigate health risks, marginalized groups face barriers to service access and utilization, partially due to ineffective messaging approaches that fail to align with cultural values and experiences. A one-size-fits-all approach to messaging can negatively impact service utilization, health outcomes, and health disparities. Ineffective communication can lead to poor adherence to treatment, poorer health outcomes, and increased adverse events.

Culturally insensitive communication contributes to stigma, mistrust, and lack of perceived relevance, discouraging service …

The Fourth Wall Of Dialogue: A Co-Constructive Collaboration On Bipoc Student Sense Of Belonging In Higher Education, Valarie Lindsey

Dissertations

Black, Indigenous, People of Color (BIPOC) students’ sense of belonging (SOB) at higher education institutions has decreased over the last 30 years despite numerous initiatives aimed at increasing a sense of belonging for this group of students and addressing the challenges they face from various intersectionalities including cultural biases, gender marginalization, and racial subjectivities. Sense of belonging is often subjective in nature because it refers to an individual's lived experience, it is important for higher education institutions to tailor their Diversity, Equity, and Inclusive (DEI) initiatives to meet the needs of the students on their campus. This initiative should include …

Effects Of A Taekwondo-Inspired Intervention Program On Children With Adhd, Zubaida Fares Shraim

Dissertations

Exercise and physical activity are beneficial for individuals with Attention Deficit Hyperactivity Disorder (ADHD). The main aim of this study is to investigate the effect of a Taekwondo-inspired intervention program on children with ADHD in the UAE context. The research utilized a mixed methods/quasi-experimental design approach, consisting of two phases. Within the first phase, a promising intensive intervention for children with ADHD has been implemented for five weeks, four sessions weekly. The sample of the first phase consisted of four children aged 8-10 years diagnosed with ADHD. Three assessment instruments were used to collect data in phase one and explore …

A Quantitative Analysis Of University Counselors And Student Affairs Personnel's Knowledge And Confidence In Working With Students With Autism Spectrum, Sandra Araiza Salazar

Dissertations

University counselors and student affairs personnel often find themselves unprepared to address the needs of undergraduate students with autism spectrum disorder. Many of these professionals are not receiving the proper training or education to prepare for the unique social, emotional, and academic needs of these neurodiverse students. Due to this trend, many university counselors and student affairs personnel may lack the necessary knowledge and confidence in serving this neurodiverse population. In this first-of-its-kind study, university counselors and student affairs personnel’s knowledge and confidence in working with undergraduate students with autism spectrum was analyzed. A nonrandom sample of university counselors and …

3d Automated Surgeon’S Hand Motion Assessment Using A Cascade Fuzzy Supervisor During Intelligent Box-Trainer System Skills Training In A Multi-Thread Video Processing, Fatemeh Rashidi Fathabadi

Dissertations

For certain surgical procedures, Minimally Invasive Surgery (MIS) has become more advantageous than traditional open surgery. Therefore, mastery of laparoscopic skills is an essential component of surgical training and requires considerable time and effort. The Fundamentals of Laparoscopic Surgery (FLS) program has been developed as a tool to improve and assess fundamental surgical skills. In fact, using a low-cost Box-Trainer or a simulator, laparoscopic surgeons are required to train using a set of structured tasks that can be objectively used to assess their laparoscopic skills, which must be mastered before carrying out real-life laparoscopic procedures. These tasks include peg transfer, …

Creating Advanced Processes Through Utilizing Renewable Eutectics For Gas Capture And Separation, Ahmad Mohammad Rasheed Al-Bodour

Dissertations

Global efforts to reduce emissions of environmentally harmful gases have intensified, with carbon dioxide (CO2) being identified as the most significant greenhouse gas and a key target for reduction strategies. Carbon dioxide (CO2) has the highest potential of threatening the environment. It is recognized as one of the greenhouse gases which has the potential of negative effects on the human being, atmosphere, and the environment. Even though CO2 gas has negative effects but at the same time it has high potential to be exploited in beneficial ways. For instance, CO2 is used in the energy field to produce the so-called …

A Brief Self-Compassion Intervention For Survivors Of Sexual Trauma With Psychological Distress, Natalie Marie Hogue

Dissertations

Individuals who have experienced sexual trauma are at an increased risk of psychological disorders and psychological distress (Dworkin, 2020; Dworkin et al., 2017; Dworkin & Schumacher, 2018). Sexual trauma has one of the highest conditional risks for the development of posttraumatic stress disorder (Domino et al., 2020; Perrin et al., 2014). Experiential avoidance, shame, and posttraumatic cognitions are associated with psychological distress after experiencing sexual trauma (Bhuptani et al., 2019; Domino et al., 2020; Foa et al., 1999; Merwin et al., 2009). Established research suggests that self-compassion-based therapies can be effective in reducing psychological distress and treating a wide range …

Long Covid Patients: A Phenomenology Study Exploring Mental Health And Psychosocial Adaptation To Disability, Tonia Joy Lans

Dissertations

In the United States, approximately 1 in 13 long COVID patients experience adverse complications two to three years post-recovery (Centers for Disease Control and Prevention, 2022), including physical, psychological, and cognitive impairment, issues with daily functioning, and difficulties returning to work (del Rio et al., 2020; Greenhalgh et al., 2020; Ladds et al., 2020; Logue et al., 2021). Moreover, collective research has indicated the debilitating complications of long COVID often result in impaired mental health, chronic illness, and disability. While significant research efforts have started to accumulate data to understand and treat the physical and neuro-logical manifestations of this chronic …

Produced Water Management From Production Sites In The State Of Kuwait, Feras Adel Alsalem

Dissertations

Extraction of crude oil also produces large volumes of water, termed produced water (PW). PW is by far the most significant by-product in the process of extracting hydrocarbons from the subsurface. Consequently, managing PW has become a great concern to oil and gas producers. The increasing amounts of PW and more stringent environmental and safety regulations in regard to PW make more efficient treatment methods necessary, where sustainable long-term solutions for PW management need to be provided. The focus of this study is on PW from onshore operations as the majority of the oil and gas extraction operations (upstream processes) …

Germination And Seedling Growth Of Native Uae Plant Species: The Combined Effects Of Elevated Co2 And Temperature, Nour Elhouda Debouza

Dissertations

Understanding how indigenous plant species respond to arid environmental stressors is critical for biodiversity preservation and the development of sustainable agricultural practices in the United Arab Emirates (UAE). This study investigated the morphological and physiological aspects of the germination and early growth stages, along with the adaptation strategies of three indigenous plant species—Senna italica, Prosopis cineraria, and Tephrosia nubica. The controlled chamber experiments aimed to subject the three selected indigenous species to elevated CO2 (400 ppm ambient to 800 ppm) and temperature (35°C ambient to 50°C) for simulating future atmospheric carbon dioxide (CO2) and temperature scenarios. …

Development Of Highly Efficient Hybridfunctionalized Membranes For Sustainable Water Harvesting, Ahmed Z. Abuibaid

Dissertations

Water scarcity has emerged as a critical global challenge. This problem catches the world's interest through events such as the severe drought in Europe during the summer of 2022. While desalination plants offer a solution, their high energy consumption necessitates the exploration of alternative, sustainable water resources. Addressing the urgent need for alternative water resources in the face of increasing water scarcity. A viable option was presented by fog harvesting, which is a method to collect water from atmospheric fog. This method was initially developed to meet the demands of a variety of sectors such as agricultural purposes, and household …

Evaluation Of Native Plant Integration, Subsoil Amendment, And ‘Foodscaping’ As Means Of Increasing The Environmental Feasibility Of Public Urban Greenery In The Gulf Region, Ayesha Rashed Alam

Dissertations

Public parks and gardens greatly contribute to the residential and touristic value of cities of the Gulf Region, but their maintenance is associated with high environmental and economic costs. The high potential evapotranspiration and summer temperatures greatly limit the choice of suitable landscaping plants, and light sandy soils with a high weed potential challenge the water management. The United Arab Emirates is characterized by a rapid urban development and population growth, resulting in increasing competition between green amenities and crop farming for irrigation water, cultivable land, and workforce. Various strategies and technologies have been proposed to increase the resource use …

Financial Time Series Fusion, Completion, And Prediction With Deep Neural Networks, Dan Zhou

Dissertations

Time-series analysis is essential for a wide range of financial applications, including but not limited to bond valuation, firm earnings forecasts, firm fundamentals predictions, and firm characteristics imputations. Given its considerable value, the financial community has shown a strong interest in refining and advancing time-series analysis techniques. The study in this dissertation contributes to this field by employing advanced machine learning approaches, specifically graph neural networks, deep neural networks, and matrix/tensor methods. The primary objectives are twofold: first, to reveal complex correlations within financial time series to improve prediction accuracy, and second, to enhance the process of integrating and imputing …

Sensing With Integrity: Responsible Sensor Systems In An Era Of Ai, David Eisenberg

Dissertations

Deep and machine learning now offer immense benefits for consumer choice, decision-making, medicine, mental health and education, smart cities, and intelligent transportation and driver safety. However, as communication and Internet technology further advances, these benefits have the potential to be outweighed by compromises to privacy, personal freedom, consumer trust, and discrimination. While ethical consequences for personal freedom and equity rise from these technological advances, the issue may not be the technology itself but a lack of regulation and policy that allow abuses to occur. A first study examines how emerging sensor-based technologies, limited to only accelerometer and gyroscope data from …

A Molecular Dynamics Study On The Destruction Mechanism Of Per And Polyfluoroalkyl Substances Due To Ultrasound Technology, Bruno Bezerra De Souza

Dissertations

Per- and polyfluoroalkyl substances (PFAS) are a group of stable synthetic chemicals that are highly persistent and harmful pollutants to the environment and human health. PFAS have caused a strong public and regulatory response due to their ubiquitous presence in the environment and toxicity to humans. The application of ultrasound is one of the most effective treatment technologies for the mineralization of PFAS in contaminated water. However, this technology is treated as a black box causing the inability to be optimized. Therefore, there is a pressing need to investigate the intricate dynamics of PFAS degradation under ultrasound to unlock its …

Molecular-To-Continuum Scale Modeling Of Aerosols: Atmospheric Application And Beyond, Ella Ivanova

Dissertations

Aerosol modeling is critical for various applications, such as climate forecasting, air quality, and human health impact assessment. During their lifetime, aerosols undergo a complex evolution, usually divided into several stages — formation, processing, transport, and removal — that occur on different scales. Thus, the choice of modeling methods depends on the stage considered. For example, certain stages of particle formation may require nano-scale modeling while aerosol-cloud interactions span from microscale to mesoscale. This study examines the modeling of aerosol behavior over a wide range of scales, from nano to microscale, with implications to mesoscale.

This dissertation focuses on two …

Microplastic Abundance And Removal In Stormwater Using Green Infrastructure, Meghana Parameswarappa Jayalakshmamma

Dissertations

Microplastics (MPs) are increasingly recognized as a pervasive environmental contaminant, conveying other contaminants, accumulating in aquatic organisms, and posing ecological risks. The existing research has primarily focused on MPs in wastewater treatment plant effluents in surface waters. However, the role of stormwater systems in MP transport has been less explored. Given the rise in MPs from urban sources, stormwater runoff from urban areas may serve as a critical conduit for transporting land-based MPs into aquatic environments. Green infrastructures (GIs) have been recognized for mitigating flooding and improving water quality from minor storms by trapping stormwater pollutants. Yet, the capability of …

A Machine Learning-Assisted Steering And Scheduling Framework For Big-Data Scientific Workflows On Heterogeneous Computing Platforms, Yijie Zhang

Dissertations

In next-generation scientific applications, the exponential growth of big data necessitates advanced techniques for efficient data storage, processing, and analysis. This has led to the construction of intricate computing workflows, managed and orchestrated by powerful engines in big data systems as exemplified by Hadoop. As scientific applications increasingly shift towards simulation-centric approaches, traditional methodologies face new challenges in accommodating the complexity of extreme-scale numerical modeling with numerous tunable parameters. To address these challenges, this dissertation propose to develop a machine learning-assisted framework that enables autonomous computational steering of scientific simulations and optimized execution of big-data workflows on heterogeneous platforms. This …