Digital Commons Network^™

Living Shoreline Prioritization And Hydrodynamic Habitat Suitability Models For Restoration In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_shorelinemodel_IRL_LWL.shp, was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon and Lake Worth Lagoon.

The dataset presented herein includes:

1. shoreline data from >15,000 transects collected in the field,
2. shoreline wave climate data created through hydrodynamic modeling and frequency analysis of historic data,
3. categorization of potential risk for shoreline boat wake impact,
4. persistence of seagrass within 210 m of the shoreline, …

Breathing In Two Languages: Inclusive Sel For Multilingual Learners, Mylia Briggs, Monica Gonzalez Smith

Journal of English Learner Education

As multilingual learners (MLs) represent the fastest-growing student demographic in U.S. public schools, educators face increasing pressure to support these students’ academic and socio-emotional needs. Traditional social-emotional learning (SEL) frameworks often align with Eurocentric norms and overlook the cultural and linguistic assets of MLs. This action research self-study investigates a third-grade teacher’s implementation of culturally responsive, equity-oriented SEL (CRSEL) practices in an urban public school in Hawai‘i. Through adapted SEL lessons centered on gratitude, students engaged in activities that integrated home languages, cultural traditions, and identity-affirming practices. Findings reveal three key themes: self-awareness as validating and emancipatory, social awareness as …

Effectiveness Of Pre-Service Teachers’ Service Learning With English Language Learners Via Zoom, Donita Grissom, Padideh Fattahi Marnani, Sophie Cuocci, Irina Mclaughlin

Journal of English Learner Education

This study investigates service-learning experiences for university students in a teacher certification program, explored through the lens of sociocultural theory. Data was collected from pre-service teachers (PST) involved in service learning conducted virtually using Zoom with Vietnamese pre-service teachers. Data was in the form of surveys, which included short reflections and yes/no responses. Findings show that the service-learning program allowed PST to have the opportunity to apply the strategies learned in their coursework with ELs and increased their sense of preparation as a result. Pre-service teachers reported the service-learning communities of practice to be beneficial for their ELs. Implications highlight …

Transdisciplinarity Through A Functional Approach In The Content Areas: Commonalities For School Teachers, Karen L. Terrell, Luciana C. De Oliveira, Jia Gui

Journal of English Learner Education

In 2020, the WIDA Consortium released a revised English language development standards framework that integrates a functional approach to language development, grounded in systemic functional linguistics, across core subjects: English Language Arts, Mathematics, Science, and Social Studies. Central to this framework are four Key Language Uses—Narrate, Inform, Explain, and Argue. While this holistic approach is promising, it poses challenges for elementary and middle-grade teachers and ESOL specialists, who often teach multiple subjects. To ensure all teachers can implement this approach effectively, the integration of functional language must be simplified for generalist instructors. This article explores how identifying linguistic commonalities across …

Machine Credibility: How News Readers Evaluate Ai-Generated Content, Alexander Wasdahl

Human-Machine Communication

The advent of AI-generated news as a novel form of content demands renewed attention toward modes of understanding reader perceptions. This research sought to answer: What are the evaluative criteria used by readers in their perception of automated news content generated via natural language processing? A series of exploratory factor analyses (EFA) was conducted on results of a survey using items obtained in an initial survey phase to uncover underlying factors contributing to differences in reader article rankings. When compared with the results of factor analyses for human-generated news content, the findings offer new constellations of terms that reflect the …

Generative Artificial Intelligence And Collaboration: Exploring Religious Human-Machine Communication And Tensions In Leadership Practices, Pauline Hope Cheong, Liming Liu

Human-Machine Communication

The adoption of generative artificial intelligence (GAI) applications has bolstered efforts toward human-machine collaboration. Given the lag in research on AI and religion, this study examines how pastors engage GAI to develop religious human-machine communication practices that constitute their leadership. Findings from in-depth interviews with pastors in the U.S. reveal that they view GAI as an idea generator, research assistant, co-author and translator. Clergy enact multiple ways to incorporate GAI communication in religious education and to enhance sermonic performances. Concurrently, pastors perceive tensions between innovation and established rites, as they contend with the authenticity and spiritual depth of GAI content …

Investigating The Persuasive Potential Of Communicating With Generative Artificial Intelligence Chatbots For Mental Health: The Roles Of Perceived Message Contingency, Cognitive Elaboration, And Issue Involvement, Hanyoung Kim, Yanyun (Mia) Wang

Human-Machine Communication

With the ever-increasing adoption of generative artificial intelligence (GenAI) chatbots in diverse communication roles, there is a burgeoning need to address how people process and respond to messages from these technologies. This study explores the theoretical mechanisms by which the use of GenAI chatbots influences persuasive outcomes related to mental health, examining perceived message contingency and cognitive elaboration as mediators, and issue involvement as a moderator between the two mediators. Through an experimental setting using ChatGPT, compared to non-conversational online resources, we discovered that GenAI chatbot use led to greater cognitive elaboration through an increased sense of message contingency, leading …

Making Sense Of The Role Of Chatgpt In Education: An Examination Of Student Views In China, Italy, Kenya, Uruguay, And The U.S., Leopoldina Fortunati, Autumn P. Edwards, Weiming Ye, Anna Maria Manganelli, Chad Edwards, Soledad Caballero, Lusike Mukhongo, Giovanni Ferrin

Human-Machine Communication

This article investigates the diffusion and adoption of ChatGPT among college students from a multinational convenience sample, informed by the scholarly literature on the diffusion and progressive appropriation of ChatGPT by students and teachers within the education sector and the strategies adopted by academic institutions. We applied a figurational approach to this study, offering two theses that try to understand the societal meaning of ChatGPT diffusion in the educational sector. Operationally, we explored university students’ behavioral intentions, practices of use, and opinions toward ChatGPT in five countries (China, Italy, Kenya, Uruguay, and the United States of America) through an online …

The Relationship Between Evening Screen Time Use And Objectively Measured Sleep Outcomes In Us College Students, Donya Sedaghat

The Pegasus Review: UCF Undergraduate Research Journal

High amounts of nightly screen time have been thought to negatively affect sleep outcomes (sleep duration, quality, and latency). There is a lack of evidence exploring if this pattern exists in U.S. college students. The purpose of this study is to investigate the relationship between evening screen time use and objectively measured sleep outcomes in U.S. college students. College students (N = 29) junior or senior standing in a Health Sciences major were recruited to participate in this cross-sectional study. Participants wore accelerometers on their non-dominant wrist for 24hr/day for 7 days to capture sleep (duration, efficiency, awakenings, timing). Participants …

Investigating Soil Co2 Flux Among Varying Soil Types During Inundation Conditions, Jennifer Volk, Arya Patel

The Pegasus Review: UCF Undergraduate Research Journal

Land use change has contributed to the increase of carbon dioxide (CO₂) release, exacerbating global greenhouse gas (GHG) emissions. CO₂ is also naturally produced in the soil via microbial respiration which breaks down soil organic matter (SOM). Several studies have investigated factors affecting CO₂ flux from soils, but few have compared CO₂ flux from a range of soil types under controlled conditions with varying water levels. This study subjected intact soil cores from six different soil types to varied periods of inundation and dry events using the same water and timing. During each event, CO …

Creepy, Invasive, And Exploitative Algorithms: A Cpm Analysis Of Users' Privacy Breakdowns And Recalibration Practices With Social Media Algorithms, Matthew J. A. Craig, Jeffrey T. Child

Human-Machine Communication

Social media content filtering algorithms can both provide desired personalized content and ads for users. However, sometimes these recommendations can resemble individual private information. How might users navigate these experiences to best manage their private information? The present exploratory study utilizes the rules- and systems-based framework of communication privacy management (CPM) theory to explore social media users’ experiences of privacy breakdowns with social media algorithms and investigates what users do in response to said breakdowns. These responses were refined using content analysis and divided into different categories of privacy breakdowns and recalibration strategies. Implications for future research surrounding human-machine communication …

College Students’ Perceptions Of Artificial Intelligence (Ai) Risks And Benefits In Pakistan, Rauf Arif, Muhammad Ittefaq, Lamia Zia

Human-Machine Communication

With the rapid advancements in technology over the past 2 decades, it has become crucial to understand people’s attitudes toward artificial intelligence (AI) adoption and its associated risks. Given the increasing access to the AI technologies, it is imperative to examine how young people in non-Western societies like Pakistan perceive AI risks and benefits. We conducted an online survey of college students who had used AI technology in the past 6 months. The results of our study indicate that the majority of college students view AI technology positively and perceive it as an opportunity to enhance workplace productivity. In addition, …

Casa Renovations: Examining Social Responses To An Anthropomorphic Media Representative That Is Separate From The Core Technology Being Represented, Rabindra Ratan, Dayeoun Jang, Taenyun Kim, Kelsey Earle, Gabriel E. Hales, Yiming Skylar Lei, Chaeyun Lim, Andrew Gambino

Human-Machine Communication

To extend our understanding of CASA and account for changes in technological complexity and configuration, this research asks: Do increasing levels of social cues in a media representative that is separate from the core technology it represents lead to increased perceived anthropomorphism of the core technology? And does such perceived anthropomorphism predict positive treatment of the core technology? We conducted two complementary studies observing e-scooter use and treatment, an online experiment focused on responses to video stimuli and a field experiment focused on actual user behavior. Findings suggest that, indeed, social cues in a media representative (i.e., an e-scooter rental …

Transformations And Revelations: The Communicative Constitution Of Trustworthiness And Trust Through Ai Development Practices, Tessa Bruijne, Anouk Mols, Jason Pridmore

Human-Machine Communication

This study explores AI development practices to understand how trustworthiness is built into AI systems, and how this generates trust in AI. Through a multi-sited ethnography based methodology, we analyze observations, interviews, and documentation from AI developers working on trustworthy AI. Our analysis shows two key practices: transformation and revelation. Through transformational AI development practices trustworthiness is (re)constituted, though more or lesser degrees. Through revelation practices, AI developers communicatively engage with others to generate trust. This focus on developers adds to the user-centric perspective and shows the role nontechnical development practices have in shaping trust and trustworthy AI before it …

Prompted By Me. Generated By Chatgpt, David J. Gunkel

Human-Machine Communication

This essay—which is not only about human-machine collaboration but is a performance in human-machine collaboration—interrogates the shifting terrain of authorship and creativity in the age of generative artificial intelligence (GAI). Challenging both the instrumentalist view of technology and the romantic myth of the singular genius, it argues for a reconceptualization of creative production as distributed, dialogical, and co-constituted. Drawing on both theoretical innovations in poststructuralism and the practices of pre- and post-modern content creators, the essay repositions the algorithm not as a mere tool but as an active participant in the generation of meaning. In doing so, it exposes and …

Machine Learning-Enhanced Optimization For The Real-Time, Secure, And Efficient Operation Of The Energy-Water-Hydrogen Nexus, Mostafa Goodarzi

Graduate Thesis and Dissertation post-2024

Given the escalating urgency of climate change, our research addresses the imperative need to curb carbon emissions, particularly from the electricity sector, which accounts for a quarter of total emissions in the U.S. We propose integrated systems, such as the energy-water nexus (EWN) and an innovative concept known as the energy-water-hydrogen (EWH) nexus, which integrates renewable energy sources (RESs) with green hydrogen production through water electrolysis. These concepts align seamlessly with the nation’s commitment to global climate agreements, including the Paris Agreement. Furthermore, green hydrogen—a clean and efficient energy source produced via water electrolysis powered by renewable energy—emerges as a …

A Novel Au-Decorated Ni-Mof For The Photo And Electrochemical Treatment Of Mc-Lr, Stephanie Stoll

Graduate Thesis and Dissertation post-2024

Microcystins (MCs) are toxins produced by cyanobacteria commonly found in harmful algal blooms (HABs) threatening many surface waters. Conventional removal methods, including membrane filtration and activated carbon, are costly and only achieve phase separation. This study introduces a novel Au-decorated Ni-metal-organic framework (Au/Ni-MOF) as a platform for the multi-modal treatment of MC-Leucine Arginine (MC-LR), utilizing photodegradation (PD), electrochemical oxidation (EO), and photoelectrochemical oxidation (PEO) by evaluating and comparing their effectiveness.

A 4 cm² Au/Ni-MOF achieved complete photodegradation of 20 ppb of MC-LR in 7 mL of DI water with a degradation rate constant of 0.0599 min^-1 under 35,000 …

Interpretation And Control Of Ai Model Behavior Through Direct Adjustment Of Latent Representations, Austin Davis

Graduate Thesis and Dissertation post-2024

This dissertation investigates the structures and mechanisms underpinning the latent space representations that emerge within Generative Pretrained Transformer (GPT) models. Addressing the broader goal of enhancing AI trustworthiness through transparency, accountability, and controllability, we focus on techniques to understand, quantify, and manipulate these latent space representations. Through a series of analyses, we examine several chess-playing GPT models as controlled testbeds, leveraging their structured decision space to explore emergent representations and decision-making processes.

Key contributions include a mechanistic analysis of the attention heads and latent representations, the development of novel metrics for evaluating intervention outcomes, and the application of linear probe …

Sex Estimation Using Linear And Geometric Morphometric Analyses Of The Adult Human Talus, Melissa N. Marks

Graduate Thesis and Dissertation post-2024

Estimating biological sex is an essential first step when analyzing human remains in both forensic and archaeological contexts. While the pelvis and skull are traditionally used for this purpose, they are not always present or sufficiently preserved to permit analysis. The talus is sexually dimorphic and can yield highly accurate sex estimates, making it a promising alternative skeletal element for sex estimation. As there is currently no accepted protocol for sex estimation using the talus, the present study attempts to replicate and validate existing methods using linear and three-dimensional landmark data, while comparing data from ancient Maya (n=16), ancient Egyptian …

A Forgotten Kairos: Rhetorical Memory In 16th Century Europe, Phillip Martin

Graduate Thesis and Dissertation post-2024

In 16^th century Europe the nearly 2000-year-old discipline of rhetoric, still a pillar of education, underwent significant change. One of the more curious changes occurred in rhetoric’s subdivision known as memory, memoria, that is, memory’s “artificial” cultivation. During the 16^th century rhetorical memory was paradoxically both maximized and marginalized as a discipline. And by the early 17^th century memoria was all but extinct as a branch of rhetoric. The causal mechanisms of this transformation remain underexamined, particularly by rhetoric and composition scholars, and most explanations remain unclear and uncompelling. Accordingly, this thesis attempts a new approach …

A Community-Based Wellness Program To Increase Exercise Adherence For Menopausal And Postmenopausal Women: A Mixed-Methods Pilot Study, Kristin M. Badillo

Graduate Thesis and Dissertation post-2024

Evidence exists that long-term commitment to an exercise routine is beneficial. Contrarily, there is a notable lack in exercise adherence among menopausal and postmenopausal women. Though research has thoroughly examined the reasons why menopausal and postmenopausal women may not be committed to an exercise routine, it remains unclear what motivates those who are adherent. This pilot study employed a mixed-methods design through administering surveys and conducting in-person focus group interviews. Additionally, an 8-week buddy system was implemented to assess the role of social support and its effect on exercise adherence. For quantitative data collection, a total of 7 participants enrolled …

Student-Athlete Vs Athlete-Student: Differences In Athletic Retirement Expectations, Terrie L. Bradshaw

Graduate Thesis and Dissertation post-2024

The purpose of this qualitative, phenomenological Dissertation in Practice was to define the terms student-athletes and athlete-student by discovering any differences in non-cognitive variables between the two groups. Additionally, this study attempted to identify any differences in career transition expectations between student-athletes and athlete-students. Thirteen NCAA athletes from various universities across the United States were included. With the use of one-on-one semi structured interviews, five themes emerged. The themes that emerged were 1) Both types of athletes attend college for different reasons. 2) Differences in level of commitment. 3) Both types of athletes strive for academic success. 4) Different expectations …

Nou La, We Are Here: A Phenomenological Study On Haitian Students' Identity Development In College, Norma J. Altidor

Graduate Thesis and Dissertation post-2024

The United States has seen an increase of individuals migrating from Haiti in search of better opportunities for themselves and their families (Camarota, 2024; Ogunwole, Battle & Cohen, 2017). That rise has correlated with an increase in the number of Haitian students enrolling in American higher education institutions. There are many published studies on the experiences of minorities based on race (Harper & Quaye, 2007) compared to studies on ethnically diverse students (Dennis, Phinney & Chuateco, 2005). Existing literature shows that immigrant youth and first-generation Americans often identify more with their ethnicity than their race (Tatum, 1997). As such, there …

Examining The Relationship Between Volunteerism And Revenue Streams In Youth-Centered Nonprofit Organizations: An Analysis Of Fundraising Revenue, Program Service Revenue, And Government Grants, Stephanie Aguguo-Orelus

Graduate Thesis and Dissertation post-2024

This study examined the relationship between volunteerism and revenue streams in youth-centered nonprofit organizations (NPOs) in the United States. Utilizing financial data from IRS Form 990 filings spanning 2014 to 2023, the research analyzes how the number of annual volunteers impacts three primary revenue sources: donations, program service revenue, and government grants. Fixed-effects regression models are employed to evaluate these relationships across the full study period and in pre- and post-COVID-19 subsamples. The study also investigates the association between volunteerism and revenue diversification using the Herfindahl-Hirschman Index (HHI). Findings reveal a positive and statistically significant relationship between volunteer involvement and …

Decreasing Administrative Burdens For Promoting Social Equity: Three Essays On Innvations In Public Service Provision, Kyungmin Lee

Graduate Thesis and Dissertation post-2024

This dissertation investigates three aspects of administrative burdens in public service delivery and explores how these burdens—which often discourage eligible individuals from accessing needed services—relate to individuals' perceptions of and behaviors toward those burdens and ultimately to user outcomes. The first essay examines whether a shift from in-person to virtual service modalities imposes additional administrative burden—digital administrative burden—for service users. Using the secondary data from the 2022 “Survey of Citizens’ Perceptions of Public Administration” conducted in South Korea, the study applies Coarsened Exact Matching (CEM) to assess the relationship between service modality and digital administrative burden. The findings suggest no …

It's Been Here All Along: Increasing Discomfort In Immersive Horror Puzzle Experiences Without Jump Scares, Brittany R. Porthouse

Graduate Thesis and Dissertation post-2024

This thesis seeks to utilize horror themes in a puzzle-based themed experience without the usage of jump scares. By alerting the body’s startle response once a puzzle is completed with a sudden loud noise or visuals, many horror-themed escape rooms utilize the jump scare tactic to heighten their guests’ adrenaline. While this technique is often effective in eliciting a reaction from participants, the effects are temporary– and sometimes hinder participants’ desire to fully interact with the environment. By primarily using the experience’s narrative and environment to illicit a fear response in guests, as opposed to using the consequences of their …

Analyzing The Global Changes In The Seasonal Cycle Of Sea Level, Storm Surge, And Ocean Waves, Amanda Barroso

Graduate Thesis and Dissertation post-2024

Changes in the seasonal cycle of extreme sea level components can modulate the flooding risk along coastlines. This dissertation evaluates the changes in and potential co-occurrence of the seasonal cycles of mean sea level, storm surge, and ocean waves. Seasonal cycles characterize the generally expected climate conditions throughout the year with distinct high and low patterns. These regular and predictable cycles have shown non-stationarity in some locations across the globe. This means the timing of the expected peak may shift to occur earlier or later. Shifts in the timing of the maximum sea level impact coastlines with increased risk of …

Numerical Evaluation Of A Novel Transpiration Cooling Scheme For Use In Dynamic Control Of Atmospheric Entry System, Caroline J. Anderson

Graduate Thesis and Dissertation post-2024

Future space exploration missions require sustainable, efficient thermal protection systems for atmospheric entry, instead of disposable ablative shields. Transpiration cooling has interest as a long studied method but never used for missions to date, prompting further study to address concerns of flow transition downstream. In consideration of additional need for aerodynamic maneuvering for greater landing accuracy, a novel asymmetric scheme of transpiration cooling is presented as a method of using onboard coolant to meet entry trajectory maneuvering requirements. This numerical study creates a coupled model of vehicle-scale flow domain and material-scale thermal response to converge on accurate vehicle surface values.

Design And Development Of A Laser Diagnostic System For Ammonia And Nox Measurements In A Toroidal Jet Stirred Reactor At Atmospheric Pressure, Marzuqa Ahmed

Graduate Thesis and Dissertation post-2024

The need for more sustainable fuel alternatives in the modern aircraft industry is growing. SAF is the current sustainable fuel in use, but still produces harmful carbon emissions. A promising alternative to SAF is ammonia, which produces zero carbon emissions. By decomposing ammonia (NH₃) into its constituents of N₂ and H₂ using a chemical catalyst, a hydrogen-ammonia fuel mix is created. H₂/NH₃ mixtures still have the desired characteristic of burning without carbon emissions, but are less reactive than pure hydrogen. Additionally, ammonia is a widely used compound, so infrastructure already exists for production, …

Morphology, Evolution And Host-Driven Convergence In Ichneumonidae (Hymenoptera, Ichneumonoidea), Davide Dal Pos

Graduate Thesis and Dissertation post-2024

Understanding the functional and evolutionary significance of morphology is fundamental to interpreting the tree of life. In recent years, emerging tools have enabled broad-scale analysis of discrete morphological data and facilitated the study of entire phenomes, helping to re-establish morphology as a central component of evolutionary research. These advances allow us not only to examine individual traits in detail but also to compare them across taxa and explore their evolutionary trajectories. This approach is particularly critical when studying hyperdiverse groups that exhibit both high levels of morphological convergence and complex life cycles intricately tied to host use. A prime example …