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, …

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 Examination Of The Effect Of Instructional Facility Size On Student Achievement In The State Of Florida, Paul B. Tweed

Graduate Thesis and Dissertation post-2024

This correlational study used publicly available Florida Department of Education (FLDOE) data on attributes of educational facilities and student performance to determine the degree of correlation between the physical size of instructional space and student outcomes. The sample used in this study comprised sixty-seven school districts in Florida. A quantitative correlational analysis was utilized to compare the amount of instructional space available to each student in a district and student outcomes in terms of district graduation rates and district scores on statewide assessments. A statistically significant, negative correlation was found between per capita instructional space, district graduation rates, and district …

First Principles Studies Of Nano-Scale Phenomena At Surfaces: From Characteristics Of Single Atom Catalysts To Molecular Structure Formation, Dave I. Austin

Graduate Thesis and Dissertation 2023-2024

The dissertation explores the electronic structures induced by the adsorption of atoms and molecules on surfaces. It focuses on the physical and chemical properties of dispersed metal atom sites on oxide surfaces and the formation of novel molecular structures at hybrid organic-inorganic interfaces. The study uses density functional theory (DFT) calculations to simulate atomic-scale behaviors and aims to contribute to understanding reaction mechanisms and enhancing catalytic activity. Part one investigates the local environments of single platinum atoms on a cerium oxide surface by analyzing their physical and electronic properties. The next part studies the local environments of single platinum atoms …

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 …

Transcriptomic Underpinnings Of Diversification, Phenotypic Plasticity, And Disease Response In Non-Model Amphibians, Nicholas Christodoulides

Graduate Thesis and Dissertation 2023-2024

Anurans (frogs) are spectacularly diverse in their life histories, evolutionary trajectories, and morphological features. Advancement of next-generation sequencing techniques has improved knowledge of anuran genetics, but the functional genomic underpinnings of adaptation in most frog species remains uncharacterized. Transcriptomic approaches are some of the most powerful tools available to understand the molecular workings of adaptation among lineages and species. Because anurans face a multitude of anthropogenic threats and are unique in their biphasic life history, a question of particular interest is how gene expression profiles relate to phenotypic variation within and among species. In this dissertation, I tackle this question …

Exploring Fraction Comprehension And Interest In Elementary Education Through Ai-Powered Personalized Learning, Kenneth Holman

Graduate Thesis and Dissertation post-2024

Fraction proficiency is crucial for foundational mathematics and broader STEM fields. This dissertation investigates the integration of Artificial Intelligence (AI) in mathematics classrooms, with a primary focus on students with mathematical learning challenges. AI technologies offer unique advantages for personalizing instruction and providing tailored feedback. The empirical study in the dissertation addresses a gap in the research related to AI's application during primary school fraction instruction.

The first manuscript presents a comprehensive literature review of AI in mathematics education, synthesizing research from 2020 - 2024. The second manuscript describes a quasi-experimental study evaluating Mathbot, an AI-based personalized learning platform. Repeated …

Teacher Agency In Dual Language Programs: Examining Constraining And Facilitating Factors Through An Ecological Lens, Marcio R. Soares Gomes

Graduate Thesis and Dissertation post-2024

In the state of Florida (USA), several public schools offer dual-language education programs that include the equal use of Spanish and English to teach both English to speakers of other languages, the vast majority of whom are immigrants, and Spanish to school-age speakers of the majority language. Using the ecological approach (Priestley et al., 2015), as defined by Emirbayer and Mische’s (1998), this study seeks to understand how teachers in dual language programs achieve agency to protect the interests of their English learners. Through the lens of the ecological perspective, the study attempts to answer the following research questions: i) …

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 …

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 …

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 …

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 …

Rhizophora Mangle (Red Mangrove) Seedling Success In Different Habitats In Mosquito Lagoon, Florida, Usa, Mekail N. Negash

Graduate Thesis and Dissertation 2023-2024

Mangroves provide many ecosystem services in coastal environments around the world. These include water quality improvement, creating habitats for terrestrial and aquatic species, and stabilizing shorelines. In central Florida, the red mangrove Rhizophora mangle is a common species in coastal wetlands, and recently the number of individuals successfully recruiting to intertidal oyster reefs has greatly increased, possibly because biogeochemical hot spots are present on oyster reefs due to nutrient-rich biodeposits from the live oysters. To understand how well R. mangle responds in terms of survival and growth to the suite of variables associated within these two unique habitats, I tracked …

Is This The Real Life, Or Is This Just Fantasy? Assessing Species Distribution Model Realism And Applicability With Virtual And Empirical Species, Hannah R. Bevan

Graduate Thesis and Dissertation 2023-2024

Species distribution models (SDMs) can be important tools for proactive conservation management if they are realistic. Unfortunately, achieving and assessing SDM realism is challenging given the general limitations of scientific models and empirical species data. We addressed the issue of achieving realism with high model quality and reproducibility by reviewing 200 SDMs and cataloguing methods for data availability, response and predictor variables, model fitting, and model performance. We addressed the issue of assessing SDM realism by comparing known and predicted distributions of habitat suitability with simulated data for various model fitting choices. Finally, we applied and compared subsequent lessons to …

Modeling Health Insurance Premium Using Bayesian Hierarchical Models, Bennedict Kongyir, Emil Agbemade

Data Science and Data Mining

Insurance pricing requires pragmatism and creativity due to the unpredictable nature of risk [3]. This paper explores Bayesian hierarchical models to model health insurance premiums using individual and group predictors like demographics, health status, and geography. Data from Kaggle on health insurance policyholders was utilized, with prior distributions enhanc­ing model interpretability and credibility. Bayesian models improve predictive accuracy and provide valuable insights for actuaries and policymakers, highlighting the signifcant impact of factors such as age and BMI on premium pricing.

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 …

Developing A Course Enrollment Simulation Model To Improve College Graduation Outcomes, Rachel Straney

Graduate Thesis and Dissertation 2023-2024

The process of enrolling and completing the courses needed to earn an undergraduate degree involves complex interactions between individual students and institutional policies and procedures, especially because student and institutional priorities do not always align. Traditional social and behavioral statistical methods are ineffective for modeling these interactions. Simulation and algorithm-based modeling approaches have been underutilized in higher education, but their adaptability can accommodate the complexity of the degree attainment process. The purpose of this research was to design, develop, validate, and apply a multi-method Course Enrollment Simulation Model (CESM), which mirrored the process of college students enrolling in courses required …

An Analysis Of The Relationship Between A Novice Educator Support Team And The Self-Efficacy Of Beginning Teachers In Elementary, Middle, And High Schools, Bailey Holmquist

Graduate Thesis and Dissertation 2023-2024

Over the last twenty years, there has been an increase in teacher turnover and, in attempts to mitigate this issue, states and school districts have developed novice teacher mentoring programs. A Large Suburban School District implemented a novice teacher mentoring program during the 2021–2022 school year with the goal of providing novice teachers with a larger system of support to increase retention rates. The purpose of this research was to examine the relationship between novice teacher perceptions of a mentoring program and novice teacher perceptions of self–efficacy. Novice teachers (i.e., 1 to 3 years of teaching experience) received a survey …

Acquiring, Appraising, And Applying Evidence To Facilitate Evidence-Based Medical Education, Meredith Ratliff

Graduate Thesis and Dissertation 2023-2024

This study explored evidence-based education in health professions education through three interrelated manuscripts. First, a scoping review of evidence-based medical education examined the use of the term “evidence-based” in the literature and the presence of evidence-based practices. The review analyzed numerous studies to understand how evidence-based education is defined and applied within the medical education community, highlighting key trends, gaps, and inconsistencies in the application of evidence-based principles. Next, a study employed an agile evidence-based instructional design (AVIDesign) model to create an evidence-based course in palliative care for medical students. This model integrated iterative development processes with evidence-based educational strategies, …

Bending Mechanics Of Bio-Mimetic Stiff Scale-Covered Plate, Pranta Rahman Sarkar

Graduate Thesis and Dissertation 2023-2024

Biomimetic scale-covered systems offer immense potential and applications, particularly in soft robotics, protective armors, wearable materials, and multifunctional aerospace structures. A typical system consists of stiff rectangular plate like scales embedded in a softer media and arranged periodically. Experimentally, these systems indicate pronounced nonlinear strain stiffening behavior even when the underlying substrate strains are small. However, capturing these behaviors using commercial finite element (FE) codes has proved difficult due to multiple sliding contacts between the scales after engagement. Therefore, accurate and reliable analytical models of architecture-property-relationships are needed for analysis and design. This thesis investigates the contact kinematics and mechanics …

Modelling Of The Viscoelastic Relaxation Of A Stowed Telescope Starshade, Rahul Raghu

Graduate Thesis and Dissertation 2023-2024

The Habitable Worlds Telescope Starshade is an occulting disk that orbits in tandem with a telescope that occludes and diffuses the light from stars to observe the relatively dim exoplanets in orbit around them. It achieves this in part with tailored petals that diffuse light to soften the light from the star. Due to the relative sizes of the star and the planet, NASA considers the shape stability of the Starshade's petals to be a Key Technology Gap. The Starshade is developed to be a deployable composite structure that folds on itself to fit within modern rockets. Due to the …

A Study Of The Effects Of Microgravity Through Porous Media In Microfluidic Devices, Taylor A. Peterson

Graduate Thesis and Dissertation 2023-2024

In recent years, space exploration has been driving studies that enable sustained human presence in space. In such studies, fluidics relating to biology have become important. Fluids in biological systems span from large-scale flows relevant to circulatory, digestion, and pulmonary systems, but also involve many micro-scale porous flows. Hence, space exploration is driving a novel need to characterize fluidics in microscales in microgravity conditions. In this work, we study the porous flow network within bones that stimulates cellular growth and has the potential to relate to osteoporosis (including driving osteoporosis in astronauts). To study this effect, computational fluid dynamics (CFD) …

Analyzing The Use Of Plain Language In Brief Summaries On Clinicaltrials.Gov, Megan J. Eddington

Graduate Thesis and Dissertation 2023-2024

ClinicalTrials.gov is a database designed to help clinical researchers make their research publicly available. The clinical trials registered on the database each include a brief summary, which is meant to be a short description that the public can easily understand. In September 2022, ClinicalTrials.gov published a "Plain Language Checklist for Lay Brief Summaries" on their website, which identifies plain language best practices intended to help investigators craft summaries that can be readily understood by the public. This thesis assesses the impact of the checklist on the language use in the brief summaries in the year following the checklist's publication. The …

Measuring Elementary Students' Level Of Acquisition Of Historical Habits Of Mind, Natalia E. Cruz

Honors Undergraduate Theses

Providing elementary-aged students with opportunities to engage in authentic historical analysis is crucial to building their historical thinking skills. Teaching with primary and secondary sources allows students the opportunity to engage in authentic inquiry-based learning experiences where the acquisition of a historical concept is in their hands. This differs from the traditional social studies learning experience, as these inquiry-based learning experiences are student-centered, and the teacher is present as a guide. Developing social studies instruction utilizing the SOURCES Framework for Teaching with Primary and Secondary Sources (Waring, 2021) is an effective way to scaffold authentic historical inquiry at the upper …

Combating Cyberbullying On Social Media: A Machine Learning Approach With Text Analysis On Twitter, Amir Alipour Yengejeh

Data Science and Data Mining

The popularity of the electronic mobile devices along with social media as well as networking websites have been tremendously increased in the recent year. Most people around the world daily engage in the variety of cyberspace additives. Even though the users can take most advantages of these system such as exchange the idea and information, being sociable, and enjoyments, they might be faced with such adverse behaviors such as toxicity, bullying, extremism, and cruelty. The recent statistics reports that such mentioned behaviors has been noticeably grown on the cyberspace such that can threaten the individuals and even any community. Thus, …

Xgboost Hyperberd Model Using Steam Platform, Yuh-Haur Chen

Data Science and Data Mining

This project investigates game pricing strategies in the Steam market using an XGBoost model, drawing motivation from Professor Xie's lecture, and presenting findings through a density plot that delineates two primary pricing strategies. A free-to-play approach, indicated by a significant hot spot, is adopted by developers focusing on post-purchase revenues through DLC, aesthetic purchases, and in-game transactions. This sailing strategy includes community-centric developers aiming to distribute their games for player engagement rather than profit.

The project illustrates the effectiveness of advanced modeling techniques in handling complex datasets, with significant predictive accuracy reflected by a reduced MSE from 0.3472 to 0.1397. …

Machine Learning Approaches For Cyberbullying Detection, Roland Fiagbe

Data Science and Data Mining

Cyberbullying refers to the act of bullying using electronic means and the internet. In recent years, this act has been identifed to be a major problem among young people and even adults. It can negatively impact one’s emotions and lead to adverse outcomes like depression, anxiety, harassment, and suicide, among others. This has led to the need to employ machine learning techniques to automatically detect cyberbullying and prevent them on various social media platforms. In this study, we want to analyze the combination of some Natural Language Processing (NLP) algorithms (such as Bag-of-Words and TFIDF) with some popular machine learning …

Advancing Cancer Classifcation Through Machine Learning Analysis Of Rna-Seq Gene Expression Data, Emil Agbemade, Amina Issoufou Anaroua, Dimitri Bamba

Data Science and Data Mining

This study delves into the classifcation of various cancer types using the RNA-Seq (HiSeq) PANCAN dataset from the UCI Machine Learning Repository, which encompasses a rich collection of gene expression data across multiple tumor samples. To improve cancer diagnosis and treatment, our methodology confronts the challenges inherent in high-dimensional datasets, such as the Hughes Effect and the Curse of Dimensionality, through innovative feature selection methods and machine learning approaches. A key component of our strategy includes the use of tree-based algorithms, particularly Random Forest, to refine the dataset to seventy genes of utmost relevance for tumor classifcation, and the application …