Digital Commons Network^™

Mindful Approaches, Transforming Hearts: Cultivating Elementary Students' Positive Mathematics Identity Development Through An Equity-Based Morning Mathematics Club, Kayla N. Blankenship

Graduate Thesis and Dissertation 2023-2024

This dissertation examines how third through fifth-grade students' mathematics identities developed through a strengths-based mathematics club focused on equitable teaching practices. In this study, theories of Communities of Practice (Wenger, 1998) and Figured Worlds (Holland et al., 1998) were combined with recommendations from Catalyzing Change (NCTM, 2020) and equity-based practices (Aguirre et al., 2013) to promote students’ positive mathematics identity development. Students with positive mathematics identities have increased mathematics engagement and achievement, and are more likely to seek careers in STEM. Mathematics identities are developed through and influenced by various sociocultural, personal, and educational factors. Incorporating evidence from student surveys, …

A Chat Analysis Of The Use Of Educational Video Games To Teach Physical Science To Middle School Girls, Stephen G. Petit

Graduate Thesis and Dissertation 2023-2024

As students transition into middle school science courses, their interest and engagement in the subject declines. This decline is most significant among girls, particularly for topics in physical science. While several factors have been identified that contribute to the decline, one area that is emerging as a new way to help improve girls' view of science is the use of educational video games to improve engagement and interest in science content, particularly as video games have been steadily rising in popularity with girls. This study used Cultural Historical Activity Theory to understand how middle school girls engage with an educational …

Nonprofit Compliance: Perceptions Of Small Nonprofit Leaders To Be Compliant, Andrea C. Ortega

Graduate Thesis and Dissertation 2023-2024

Small nonprofit organizations (NPOs) are at higher risk of having their IRS tax-exempt status revoked due to a lack of funding, governance, and structure. Organizations that fail to file an annual information return or notice for three consecutive years automatically lose their tax-exempt status by revocation. In May 2020, the IRS revoked the status of more than 30,000 NPOs for failing to file tax returns. This research contributes to the very limited number of qualitative studies on nonprofit leaders' knowledge of federal compliance, which is unknown and may contribute to small nonprofits losing their IRS-exempt status. This qualitative study examines …

Predicting Post-School Outcomes Of Transition Aged Students With High Incidence Disabilities, Jacob Brewer

Graduate Thesis and Dissertation post-2024

This dissertation explores predictive modeling to forecast post-school outcomes for transition-aged students with high-incidence disabilities, such as Specific Learning Disabilities (SLD) and Other Health Impairments (OHI). Transitioning from secondary to post-secondary environments is critical for students with disabilities, significantly impacting their independence, self-confidence, and employability (Morningstar et al., 2017; Carter et al., 2021). Through a mixed-methods approach, this study integrates Office of Special Education Programs (OSEP) indicators to determine which factors most effectively predict post-secondary enrollment and graduation. Key variables such as parental involvement, socio-economic status (SES), and self-determination skills are analyzed using logistic regression and machine learning techniques, including …

An Exploratory Sequential Mixed Methods Study On Usable Cybersecurity And The Behaviorial Effects Of Cognitive Load, Corey Leong

Graduate Thesis and Dissertation post-2024

This study investigated individuals’ behaviors and perceptions, and actions of a cybersecurity event after reviewing relevant cybersecurity content published in a cyber alert. As new technologies are developed and released, humans experience pressure to defend against threats while at work to remain productive and meet desired organizational goals (Chowdury & Skinner, 2019). The first part of the study randomly assigned participants to respond to a pre-questionnaire followed by an intervention, reading a cyberalert. Participants then answered a post-questionnaire that included the identical questions from the pre-questionnaire, in addition to, biographical and career related questions as well. The second part of …

Does Assessment Of Distress Disclosure Enhance Prediction Of Suicidal Ideation In The Three-Step Theory Of Suicide?, Jessica A. Ruiz

Graduate Thesis and Dissertation 2023-2024

The three-step theory of suicide (3ST) proposes that suicidal ideation (SI) and behavior develops in the context of unbearable pain and hopelessness (Step 1), low social connection (Step 2) and acquired capability (Step 3 - not assessed in this study; Klonsky et al., 2016). Distress disclosure is one way a person may utilize their social network to mitigate feelings of distress and can be a critical measure of social connectedness. Building on efforts to diversify measurement of social connectedness in the 3ST, a sample of 549 college students (mean age = 19.27, SD = 1.28; 56.6% reporting history of SI) …

Assessing The Connection Between Social Media And Ideological Polarization, Joshua Stiekman

Graduate Thesis and Dissertation 2023-2024

Does the usage of social media make individuals more polarized? Previous studies have shown that political use of the internet does make individuals more likely to politically participate, but little academic work has looked at the dynamic of ideology and the social media usage, despite the increase of social media usage in everyday life. This study uses Facebook, Twitter, Instagram, Reddit, YouTube, Snapchat, and TikTok to see if social media users are more polarized, and which ideological groups are more polarized on social media. Moderates are included to differentiate if there is a difference. This study analyzed data from the …

Exploring The Influence Of Inclusive Middle School Classrooms On Resilience, Character Education, And Life Skills Development In Students With Disabilities, Katherine Bonilla

Graduate Thesis and Dissertation post-2024

This study explored the effects of inclusive middle school classrooms on the academic performance, attendance, and social-emotional development of students with disabilities. Using a quantitative, comparative, and correlational design, the research investigated how inclusion influences these outcomes. The study examined data from 1,198 students, including both exceptional student education (ESE) and non-ESE participants, and gathered teacher perceptions to assess the impact of inclusion on social-emotional learning (SEL). Key metrics analyzed included Florida Assessment of Student Thinking (FAST) scores for mathematics and English Language Arts (ELA), attendance rates, and teacher survey responses regarding students' SEL competencies, such as resilience, teamwork, and …

Examining Anxiety And Online Learning Experiences, Charlotte A. Jones-Roberts

Graduate Thesis and Dissertation post-2024

Anxiety is a growing concern across university campuses. University students with anxiety are more likely to experience poor academic performance, disengagement, and attrition in their courses. Anxiety levels among online students can be significant and often more pronounced in online learning environments compared to traditional classroom settings. This dissertation aimed to examine the correlation between anxiety and online courses. Grounded in the Community of Inquiry (CoI) framework and its subscales, Teaching Presence, Social Presence, and Cognitive Presence, the aim was to understand how these elements correlate with state and trait anxiety in online courses. This mixed-methods study took quantitative data …

The Experience Of Blind Mothers In Parenting Children With Disabilities ``, Abeer S. Ali

Graduate Thesis and Dissertation post-2024

Blind or visually impaired mothers (BVIMs) raising children with disabilities experience an exceptional set of challenges that have been largely overlooked in disability and parenting research and teacher education. With this study the researcher examined how BVIMs support their children with disabilities in key areas such as behavior management, educational advocacy, caregiving, and accessing resources. Additionally, the researcher sought to understand how these mothers navigate their experiences as they challenge with societal perceptions, institutional barriers, and the daily caregiving demands. The researcher employed a qualitative case study methodology, using in-depth individual interviews and a focus group with six BVIM participants. …

Supporting Online Student Success Via Online Instructor Best Practices, Tori Jayne Taylor

Graduate Thesis and Dissertation post-2024

Fully online learning provides flexibility students appreciate but can be impersonal and socially isolating. Students can experience lower achievement and more frequent course withdrawal because they struggle to connect to the content, instructor, and other students. Twelve experienced general education instructors from a large university were interviewed to understand how they notice and support students who are at risk of underachieving or failing fully online courses. Interview data were triangulated using course content analyses from two of the instructors’ online courses. Thematic data analysis was guided by the Community of Inquiry (CoI) framework.

Instructors in smaller courses use a variety …

Elementary General Education Teachers' Beliefs About Inclusive Practices In General Education Classrooms In The Cayman Islands, Tracey Ann Trail

Graduate Thesis and Dissertation post-2024

Research indicates that teachers' beliefs are pivotal in shaping their inclusive practices. However, there is a dearth of local research on general education teachers’ beliefs about inclusive practices in the Cayman Islands. This qualitative study aimed to fill this gap by understanding the beliefs of general education elementary teachers about inclusive practices in general education classrooms in the Cayman Islands. This encompassed their beliefs about inclusive education, supporting student learning and participation, and their self-efficacy beliefs about implementing inclusive practices. Data about the teacher’s beliefs were collected using two semi-structured interviews with nine general education elementary public elementary school teachers. …

The Role Of The Principal In The Recognition Of High Ability Students Who Are Black, English Language Learners, And Low Socio-Economic Status, Nadia N. Winston

Graduate Thesis and Dissertation post-2024

Researchers consider the underrepresentation of Black, English Language Learner, and Low Economic status students who are high ability in gifted and advanced programs, an issue largely due to multiple issues (i.e. lack of standard definition or single conception, identification testing flaws, bias). Though many district and school related mitigation factors have been studied and suggested, there is very little research on the school principal and their role in mitigating these effects. This sequential, exploratory mixed methods study examined the challenges leaders face when implementing policies and processes for supporting and recognizing Black, English language learner, and low socio-economic students who …

Dual Coalitions Or Dueling Coalitions?: A Comparison Of Single-Issue And Dual-Issue Statewide Domestic Violence And Sexual Assault Coalitions In The U.S., Shannon Sokolowski

Graduate Thesis and Dissertation post-2024

Domestic violence (DV) and sexual assault (SA) are critical social issues requiring a large scale national response. In the U.S., federally designated statewide DV and SA coalitions are nonprofit organizations that play a critical role at the national, state, and local levels. Once individual social movements, DV and SA advocacy coalitions have merged at higher rates in recent decades. Efforts to achieve economic sustainability may drive the decision to merge or reform. However, nonprofit organizations have a double bottom line, needing to consider financial and mission-related performance. With economic uncertainly rising, it is critical to understand the impact that forming …

Program Evaluation Of Behavioral Health Training: Using The Retain Model, Kris J. Toscani

Graduate Thesis and Dissertation post-2024

This study investigated the effectiveness of gamification elements introduced into a well-established behavioral health in-person professional training. The gamification elements were designed with the RETAIN Model and Rubric and intended to increase team member engagement by increasing Relevance, Embedding a fictitious medical-themed story, creating opportunities for knowledge acquisition and Transfer, Adapting the content to the job functions of the participants, creating an Immersive experience in which the team members were fully engaged in the medical mystery, and repetitively applying gameplay concepts to efforts to create a Naturalized learning experience. The methodological approach to assessing …

Every Person A Home Every Home A Person, Emily R. Miller

Graduate Thesis and Dissertation post-2024

Every Person a Home Every Home a Person is a collection of poems that explores the meaning of “home” and the places where our homes are made. The collection consists of intertwining thematic threads that delve into what makes a home, including those found in physical houses, cultural identities and regional areas (in this case, Florida/the American South), other people, and personal identity. Through probing poems inspired by the author’s life and experiences as a queer, neurodivergent woman*, Every Person a Home Every Home a Person asks and tries to answer the question: what makes a home, and how do …

Empathy In Digital Healthcare, Michael R. Powell

Graduate Thesis and Dissertation post-2024

This dissertation investigates how the rapid expansion of telehealth, particularly in response to the COVID-19 pandemic, has reshaped clinician-patient interactions, with a focus on the role of empathy. Telehealth has broadened access to care and introduced new efficiencies, but it also presents distinct challenges in fostering the deep emotional connections traditionally associated with in-person consultations. By exploring how empathy is mediated through digital platforms, this research offers valuable insights into how empathetic connections can be supported, though not fully replicated, in virtual healthcare settings. Through a mixed-methods approach, including qualitative interviews with healthcare providers, the study examines both the barriers …

Developing A Multi-Level Model Of Integrated-Organizational Resilience, Reza Bahari

Graduate Thesis and Dissertation 2023-2024

Most contemporary organizations work in unsteady environments and are impacted by various types of disruptions that have profound impacts on performance such as natural disasters, globalization, and financial recessions. Due to this, the concept of integrated organizational resilience (IOR) has become an important issue for both academic researchers and practitioners in recent years. A review of the literature shows that much of the research has focused on identifying and measuring the factors that affect OR in an effort to improve organizations' capacity for resilience. While significant research has been conducted in this area, much of the evidence focuses on a …

Eavesdropping-Driven Profiling Attacks On Encrypted Wifi Networks: Unveiling Vulnerabilities In Iot Device Security, Ibrahim A. Alwhbi

Graduate Thesis and Dissertation 2023-2024

Abstract—This dissertation investigates the privacy implications of WiFi communication in Internet-of-Things (IoT) environments, focusing on the threat posed by out-of-network observers. Recent research has shown that in-network observers can glean information about IoT devices, user identities, and activities. However, the potential for information inference by out-of-network observers, who do not have WiFi network access, has not been thoroughly examined. The first study provides a detailed summary dataset, utilizing Random Forest for data summary classification. This study highlights the significant privacy threat to WiFi networks and IoT applications from out-of-network observers. Building on this investigation, the second study extends the research …

A Multimodal Framework For Automated Content Moderation Of Children's Videos, Syed Hammad Ahmed

Graduate Thesis and Dissertation 2023-2024

Online video platforms receive hundreds of hours of uploads every minute, making manual moderation of inappropriate content impossible. The most vulnerable consumers of malicious video content are children from ages 1-5 whose attention is easily captured by bursts of color and sound. Prominent video hosting platforms like YouTube have taken measures to mitigate malicious content, but these videos often go undetected by current automated content moderation tools that are focused on removing explicit or copyrighted content. Scammers attempting to monetize their content may craft malicious children's videos that are superficially similar to educational videos, but include scary and disgusting characters, …

Semiconductor Mode-Locked Lasers For Applications In Multi-Photon Imaging And Microwave Photonics, Srinivas Varma Pericherla

Graduate Thesis and Dissertation 2023-2024

Semiconductor lasers are considered essential for the advancement in the field of photonics where compact and energy-efficient lasers are necessary. Advancements in integrated photonic technologies will help push the performance of semiconductor lasers in the coming years and expand the technology to several other applications. Semiconductor lasers offer several key features such as high energy efficiency, mass production, availability at a myriad of wavelengths, and high integration capabilities. However, limitations in noise performance, pulse energy, and duration hold back semiconductor lasers from being utilized to their full potential. This dissertation reviews the utilization and development of external techniques that enable …

Models Of Information Diffusion And The Role Of Influence, Chathura Jj Don Dimungu Arachchige

Graduate Thesis and Dissertation 2023-2024

Information diffusion is significant in fields such as propagation prediction and influence maximization, with applications in viral marketing and rumor control. Despite conceptual differences, existing diffusion models may not represent identical underlying generative structures. A classification of diffusion of information models is developed based on infection requirements and stochasticity. The study involves analyzing seven existing DOI models on directed scale-free networks. The distinctive properties of each model are identified through simulations and analysis of experimental results. Our analysis reveals that similarity in conceptual design does not imply similarity in behavior concerning speed, the final state of nodes and edges, and …

Film As Ritual: Healing From Complex Trauma And Transmuting Pain Through Film, Lorraine I. Sovern

Graduate Thesis and Dissertation 2023-2024

Forward Fast, Always/Never (Together Forever) and Shotgun Baby are three short experimental documentary films as part of the requirements for earning a Master of Fine Arts in Feature Film Production from the University of Central Florida. These films focus on the unique power of cinema and its ability to assist in healing from complex trauma. Three films were produced on an artisanal, micro-budget scale.

This body of work confronts and examines the significant traumas from an abusive childhood upbringing (Shotgun Baby), the effects of misogyny in Western media on my developing filmic sensibilities (Forward Fast), and …

Spotting The Signs: An Investigation Of The Effectiveness Of A Peer Training Program In Increasing Students' Ability To Detect And Report The Warning Signs Of A Peer School Shooting Plot, Ashley T. Winch

Graduate Thesis and Dissertation 2023-2024

To date, there are no evidence-based peer bystander intervention trainings (BIT) aimed at educating peers in school shooting warning behaviors. The purpose of this study was to examine an interactive BIT where peers were taught warning behaviors related to someone planning a school shooting and how to report this information. This training was evaluated against a currently available training method (i.e., PowerPoint presentation based) and a control group to determine the best training approach. College students between 18 and 19 years old (N = 57) completed pre, post, and one-month follow-up assessments. At each timepoint accuracy in detection of …

Breaking Molds: Transformative Processes In Art Making, Materials, And Life, James M. Wysolmierski

Graduate Thesis and Dissertation 2023-2024

Drawing upon traumatic moments of my past as a catalyst, I pursue understanding and acceptance of physical and emotional pain. In this thesis body of work, I employ the intersection of industrial and body imagery in sculptural forms and installation as a corporeal and allegorical account of my lived experience using visual narratives of trepidation and metamorphosis. In my creative practice, I incorporate various materials that create a reference of specific moments from my past. The artworks draw from principles rooted in Buddhism, affect theory, phenomenology, and materiality; incorporating them as tools to comprehend my position in the world and …

Software Company Workplace Bias In Technical Communication, Amanda Altamirano

Graduate Thesis and Dissertation 2023-2024

This dissertation is an interdisciplinary work that explores the intersection of humanities and technical communication by focusing on the presence and impact of software company workplace bias in technical professional communication. It focuses on workplace bias in technical communication because, when present, bias can impact the experiences that technical communicators and end-users (people who use the software) have with the software. This mixed-methods study consists of a survey, an interview, and a new diagram designed to help technical communicators mitigate biases in technical documentation. To understand better the presence and impact of bias in these workplace contexts, this study surveys …

Comical, Familial, Satirical: Exploring Visual Culture Through Portraiture And Graphic Narrative, Matthew D. Dunn

Graduate Thesis and Dissertation 2023-2024

My art examines visual culture using a plethora of techniques, formats, and materials. Recent works address family, pop-culture, and politics utilizing portraiture and short-form comics. Much of my art expresses humor through colorful, irreverent imagery, and many works employ satire and parody. Leveraging my experience as a professional illustrator and designer, I tailor my approach to each project, drawing upon divergent styles with an emphasis on polish and accessibility. I frequently adapt well-known images to recontextualize subjects. In my investigation of graphic narrative, I produced political comics, vintage comic book parodies, and experimental, interactive work. This body of work was …

On Vulnerabilities Of Building Automation Systems, Michael Cash

Graduate Thesis and Dissertation 2023-2024

Building automation systems (BAS) have become more commonplace in personal and commercial environments in recent years. They provide many functions for comfort and ease of use, from automating room temperature and shading, to monitoring equipment data and status. Even though their convenience is beneficial, their security has become an increased concerned in recent years. This research shows an extensive study on building automation systems and identifies vulnerabilities in some of the most common building communication protocols, BACnet and KNX. First, we explore the BACnet protocol, exploring its Standard BACnet objects and properties. An automation tool is designed and implemented to …

Efficient Processing Of Convolutional Neural Networks On The Edge: A Hybrid Approach Using Hardware Acceleration And Dual-Teacher Compression, Azzam Alhussain

Graduate Thesis and Dissertation 2023-2024

This dissertation addresses the challenge of accelerating Convolutional Neural Networks (CNNs) for edge computing in computer vision applications by developing specialized hardware solutions that maintain high accuracy and perform real-time inference. Driven by open-source hardware design frameworks such as FINN and HLS4ML, this research focuses on hardware acceleration, model compression, and efficient implementation of CNN algorithms on AMD SoC-FPGAs using High-Level Synthesis (HLS) to optimize resource utilization and improve the throughput/watt of FPGA-based AI accelerators compared to traditional fixed-logic chips, such as CPUs, GPUs, and other edge accelerators. The dissertation introduces a novel CNN compression technique, "Two-Teachers Net," which utilizes …

Psychometric Evaluation Of A Brief Measure For Body Image Concerns Related To Breast Appearance, Sivanne Mendelson

Graduate Thesis and Dissertation 2023-2024

The complexity of breast-specific body image concerns among women considering cosmetic breast surgery (CBS) underscores the need for a nuanced assessment tool. Despite numerous existing body image measures, there remains a need for a concise, validated instrument focusing on satisfaction with breast appearance. The development of the Breast Appearance Concerns Scale (BACS) aimed at assessing the multifaceted nature of breast-specific concerns through a patient centered lens within a population of otherwise healthy young adult women. The BACS was developed through a comprehensive review of existing literature and refined using exploratory and confirmatory factor analyses, in addition to Rasch measurement analysis. …