Digital Commons Network^™

A Frequency-Dependent Hydrodynamic Modeling Framework For Offshore Platforms With Optimization-Based Parameter Identification, Md. Rafid-Ul Haque Sakif

Graduate Studies Theses and Dissertations 2026

Accurate prediction of hydrodynamic loads on offshore platforms requires drag coefficients that adequately capture their dependence on wave frequency. However, conventional implementations of Morison’s equation generally assume constant drag coefficients across the entire frequency spectrum, which can lead to inaccuracies in predicting platform responses under complex sea-state conditions. To address this limitation, this study proposes a frequency-dependent hydrodynamic modeling framework in which the platform response is decomposed into distinct frequency regions, specifically low-frequency and high-frequency components. Separate drag coefficients are assigned to each region to better represent the underlying flow physics. The decomposition is achieved using filtering techniques in the …

Bond Behavior Of Uhpc-Nsc Interfaces For Bridge Deck Repair Under Flexural Loading, Larissa Santiago La Banca

Graduate Studies Theses and Dissertations 2026

The use of ultra-high performance concrete (UHPC) has increased due to its superior mechanical properties and strong bond with normal-strength concrete (NSC). It is widely used as a repair material, particularly in bridge decks, where maintenance remains a challenge. However, the interface between UHPC and NSC is often the weakest region of the composite system and requires careful evaluation.

This study investigates the bond behavior between UHPC and NSC using different surface preparations, test setups, and UHPC materials. The experimental program included unreinforced beams with vertical interfaces tested under three- and four-point flexural loading, and reinforced slabs with horizontal interfaces …

Source Credibility And Chatbots: How Design Factors Impact Chatbot Effectiveness, Kristen M. Schmidt

Graduate Studies Theses and Dissertations 2026

Source credibility theory states that the more credible a source appears to be, the more likely one is to believe both true and untrue information from it. In the modern day, misinformation is considered a major problem, particularly with virtual communication, meaning it is essential to study what factors influence a system’s source credibility. Virtual agents are a particularly relevant subject of study given that their source credibility can be impacted by both technological and social factors. Across three experiments, this dissertation utilized a novel chatbot interaction design to test how varying design factors would impact a chatbot’s source credibility …

Defect-Guided And Energy-Driven Unfolding With Learning-Based Strategies: From Geometries With Compact Refolding To Garments, Shah Wasif Sazzad

Graduate Studies Theses and Dissertations 2026

Unfolding and folding are related geometric and mechanical transformations fundamental to structural applications. Particularly, unfolding curved surfaces is important for deployable structures, garment pattern generation, etc. A central challenge is minimizing geometric distortion between a surface and its unfolded counterpart avoiding overlaps. As regions of lower Gaussian curvature typically produce less distortion during flattening, identifying curvature distribution becomes essential. Topological defects in a particle assembly on a surface in its minimum interaction-energy configuration indicate regions of concentrated curvature. In this work, an unfolding method is proposed that segments the surface using defects' location. Cutlines connecting the defects isolate lower curvature …

Data-Driven Seismic Site Classification Using Earthquake And Microtremor Horizontal-To-Vertical Spectral Ratios, Sanidhya Sharma

Graduate Studies Theses and Dissertations 2026

The prevailing seismic site classification parameter, the time-averaged shear-wave velocity in the upper 30 meters (V_S30), provides an incomplete representation of site conditions, neglecting deeper geology, impedance contrasts, and resonance phenomena. This thesis developed and validated a data-driven framework for seismic site classification based on the full spectral shape of Horizontal-to-Vertical Spectral Ratio (HVSR) curves combined with unsupervised machine learning, through two complementary research studies. Research 1 applied K-means clustering to earthquake-based HVSR (eHVSR) data from 3,186 ground motion stations across California and adjacent regions, identifying four physically distinct site clusters, characterized by low-frequency, very-low-frequency, high-frequency, and …

Entre Dos Mundos: A First-Generation Cuban American's Journey Through Identity And Memory, Alessandra M. Gonzalez

Graduate Studies Theses and Dissertations 2026

ENTRE DOS MUNDOS (translated as “between two worlds”) explores the complexities of growing up as the eldest daughter in a Cuban American immigrant family and the tensions of navigating life between cultures. Set in Miami, the collection blends lyrical and prose poetry to examine cultural identity, diaspora, intergenerational memory, and the emotional landscape of young adulthood. Through personal narrative and historical context, ENTRE DOS MUNDOS traces the speaker’s coming-of-age amid the inherited stories of her family’s escape from Cuba and the lingering effects of displacement. The section “Yo” focuses on the psychological challenges of adolescence and early adulthood, reflecting on …

Exploring The Temporal Dynamics Of Gaming-The-System And Self-Regulated Learning Behaviors Within A Game-Based Learning Environment, Cameron E. Marano

Graduate Studies Theses and Dissertations 2026

Consistently monitoring and regulating cognitive and metacognitive skills during learning is difficult. As a result, game-based learning environments (GBLEs) have been designed to provide richer learning experiences. They foster self-regulated learning (SRL) skills and offer a way to study learners' interactions within complex environments. Although SRL in GBLEs has been widely studied, large gaps remain. For example, it is unclear how improper or maladaptive regulation in GBLEs signals gaming-the-system, in which learners manipulate features to avoid authentic learning. This phenomenon is widely studied in intelligent tutoring systems (ITSs). Limited research has examined how and when both gaming-the-system and SRL behaviors …

The Middle Space: Redefining Collaborative Directing In Adaptive American Collegiate Theatre, Tyler J. Simons

Graduate Studies Theses and Dissertations 2026

This thesis examines collaborative directing as an adaptive, relational practice that exists between rigid hierarchical authorship and fully collectivized creation. Challenging dominant binaries in directing discourse that frame leadership as either singular or egalitarian, this study argues for a “middle space” in which authority, authorship, and responsibility are continually negotiated in response to institutional structures, pedagogical contexts, and interpersonal dynamics. Directing is framed not as a fixed methodology or ideological position, but as a responsive practice shaped by context. Grounded in a practice-as-research (PaR) methodology, the thesis analyzes four productions: Rhinoceros (Theatre UCF, 2024), The Tricks of Scapin (Freedom High …

Wormfood, Susan Mesler-Evans

Graduate Studies Theses and Dissertations 2026

A collection of seven fiction short stories focused on death and mortality, with genres represented including horror, fantasy, science fiction, and literary. The stories include an ecological epistolary narrative set in the near-future, a modern retelling of Hamlet, a Biblical flood narrative, a polyphonic retelling of the Bluebeard myth, a realist drama about abuse and healing, a darkly comic story of a woman planning for her own death, and a sci-fi story about two robots defying their programming to save a flower from destruction.

Turbine Exhaust Cylinder And Manifold Wake Interactions At High Swirl Angle, Christian A. Anzalotta

Graduate Studies Theses and Dissertations 2026

A commonly observed flow interaction in industrial gas turbine (IGT) exhaust diffuser configurations is investigated, where upstream structural wakes interact with downstream airfoil-like components, potentially leading to unsteady loading. To better understand the mechanisms contributing to this behavior, a scale-model is designed. Dynamic similarity is achieved by matching the Strouhal number (St) of the vortex shedding from the strut. A bell-mouth followed by a swirler is installed in front of the strut to mimic the flow angles at the inlet section of the turbine exhaust. Experiments are conducted for three swirl angles, namely, 30°, 45°, and 60°. Power spectra computed …

Passenger Pigeons, Dodos, Neanderthals, Jordan Alexander

Graduate Studies Theses and Dissertations 2026

Passenger Pigeons, Dodos, Neanderthals is a short story collection rooted in Afrofuturism and Southern literature. Passenger Pigeons centers the experiences of queer Black American women in various settings, from Mars to rural Florida. The title story of the collection follows Teri, a human on Mars, attempting to integrate into a society of Martians who exoticize and tokenize her. In this story, I use science fiction as a vehicle to confront the microaggressions and overt racism people of color often experience in professional environments. “Rather Be the Devil,” is a fabulist story detailing the character Man’s journey to find his missing …

Investigating The Association Between Polycystic Ovary Syndrome (Pcos) And Idiopathic Intracranial Hypertension (Iih): A Cross-Sectional Analysis, Savannah L. Adams

Graduate Studies Theses and Dissertations 2026

Polycystic ovary syndrome (PCOS) and idiopathic intracranial hypertension (IIH) are chronic conditions that disproportionately affect women of reproductive age and share several metabolic risk factors, including obesity, insulin resistance, and hormonal dysregulation. Despite growing clinical interest in a potential relationship between these conditions, limited research has examined awareness, knowledge, symptom presentation, and barriers to healthcare among young adult populations. The purpose of this study was to investigate awareness, knowledge, perceived healthcare barriers, and potential associations between PCOS and IIH among college-aged individuals. A cross-sectional survey was administered to students aged 18-25 at the University of Central Florida through classroom recruitment …

Using Inferences From Natural Language Narratives To Improve Video Question Answering, Hoang Bao Truong

Graduate Studies Theses and Dissertations 2026

The purpose of this thesis is to examine how structured narrative representation and reasoning strategies jointly affect the performance of Video Question Answering (VideoQA). Although recent advances in large multimodal and language models have improved video description and retrieval, causal and counterfactual reasoning remain challenging. This thesis studies an inference-only pipeline in which videos are converted into natural-language narratives, and those narratives may optionally be transformed into a structured NarrativeML format before multiple-choice questions are answered without task-specific fine-tuning. NarrativeML is a machine-readable narrative representation that explicitly encodes entities, events, and their causal and temporal relations. Three representational contexts are …

'But George Floyd Wasn't A Saint': A Critical Discourse Analysis Pre And Post George Floyd, Raya Berkley-Jacobs

Graduate Studies Theses and Dissertations 2026

May 25, 2020, George Floyd died at the hands of former police officer Derek Chauvin after he placed his knee on George Floyd’s neck for 8 minutes and 46 seconds. His death sparked outrage, protests, and calls for accountability, justice, and reform. This study addresses the impact of George Floyd’s death as a focusing event that created a policy window under which federal legislation was introduced as a response to his death. Drawing on Punctuated Equilibrium Theory and Social Construction Theory, the study utilizes a critical discourse analysis to test how the death of George Floyd impacted the amount and …

Critical Engagement With Gpt In U.S. History: Full Integration In An Undergrad Setting, Matt Meador

Teaching Repository of AI-Infused Learning

This project integrates a custom-trained GPT model into undergrad U.S. History courses to support students in analyzing primary sources, evaluating historical perspectives, and bridging the gap into AI Literacy. Students use AI to generate draft responses, then critically review, annotate, and revise outputs, ensuring that human oversight fosters deeper historical thinking rather than passive acceptance of machine responses.

Integrating Chatgpt Voice To Enhance German Language Communication, Michael B. Dettinger

Teaching Repository of AI-Infused Learning

In this course, students were required to write four essay topics, and in turn were assigned to use ChatGPT Voice in a task prior to each essay in order to assist them in framing their argument, as well as to practice working through their essay and presentation topic verbally in advance.

100 Years: The Uniform System Of Accounts For The Lodging Industry (Usali) 12th Revised Edition, Agnes Defranco, Raymond S. Schmidgall

Journal of Hospitality Financial Management

No abstract provided.

Meeting Accreditation On A Deadline: Using Generative Ai To Rapidly Develop A Graduate Course, Cory Knill, Sean Devan

Teaching Repository of AI-Infused Learning

This entry details an "expert-in-the-loop" framework for rapidly developing an accredited, graduate-level Health Physics course under significant time constraints. The strategy utilized Large Language Models to generate foundational course materials including the syllabus, lecture outlines, and in-class simulations, which were then rigorously curated by faculty. This human-AI collaborative approach enhanced efficiency, enabling instructors to focus more on high-impact, active learning experiences for students.

Leveraging Custom Gpt Bots To Enhance Learning In Economics, Larisa Ray

Teaching Repository of AI-Infused Learning

Students engage with instructor-designed GPT-powered bots (e.g., ECONOHelper, Owlnomics, Alpha (student bot)) to practice applying economic theories and solving structured case studies. Bots are programmed to withhold direct answers initially, prompting students with guiding questions to stimulate analysis before offering feedback or clarification.

For example:

• In Microeconomics, ECONOHelper helps students interpret supply and demand graphs, calculate elasticity, and analyze pricing strategies for products such as Tesla’s Cybertruck or staple foods.
• In Macroeconomics, Owlnomics guides students through models such as Aggregate Expenditures (AE) and AD-AS, asking them to predict outcomes of fiscal and monetary policies in real-world-inspired scenarios like “Larissaland” or …

Ai-Integration In Writing And Research Processes, Kristie Lussier

Teaching Repository of AI-Infused Learning

Strategies for incorporating and reflecting on AI in research and writing process steps including:

• Topic Development
• Researching Sources
• Planning and Outlining
• Drafting and Revising
• Editing and Polishing
• Metacognitive Reflection

Disaster Exercise: Evaluating Mci Triage Training, Michael J. Steflovich Jr, Jodie Stobierski, Alexis Davis, Natasha Pavlinetz, Nela Isic, Nicole Roberson, Earl Best Md

Florida Journal of Emergency Medicine (FJEM)

Abstract

Study Objectives

The primary objective of this study was to evaluate the effectiveness of a didactic lecture-based training on mass casualty incident (MCI) triage performance among first- and second-year medical students. Specifically, the study aimed to measure improvements in overall triage accuracy, as well as reductions in over-triage and under-triage rates for both adult and pediatric patients.

Methods

This study employed a pre-test/post-test design involving 31 participants. Participants completed an electronic pre-test consisting of 30 patient scenarios (20 adult and 10 pediatric) before attending a 40-minute didactic lecture on MCI triage principles. The lecture covered the identification of MCI …

Point Of Care Ultrasound For Rapid Identification Of Central Retinal Artery Occlusion And Subsequent Vision Rescue Utilizing Intravenous Alteplase, Joseph Pepe, Karl Kasischke, Calen Hart

Florida Journal of Emergency Medicine (FJEM)

Central retinal artery occlusion (CRAO) is a rare but critical diagnosis to make in patients with acute vision loss. Cases of central retinal artery occlusion historically have a poor prognosis due to delayed presentation, lack of early identification, and limited effective treatment options. Due to these challenges, patients are often left with permanent loss of vision.

We present a case of a male patient in his late 70s with sudden onset of loss of vision to the right eye. Identification of CRAO was made utilizing point of care ultrasound (POCUS). After discussion with neurology, the patient was treated with alteplase …

Structured Ai Conversations On Ethical Reasoning In Introductory Psychology, Brianna Mccartney

Teaching Repository of AI-Infused Learning

This strategy integrated structured AI conversations using Perplexity into an introductory psychology course to strengthen students’ ethical reasoning. Guided prompts led students through analyzing historical unethical studies, applying APA and Belmont principles, and proposing ethical redesigns while receiving immediate feedback. The activity concluded with a final paper and AI acknowledgment, fostering both deeper ethical understanding and responsible use of AI in academic work.

Application Of Theoretical Frameworks To Maternal And Infant Nutrition Case Study Discussion Board, Tiffany Hylton

Teaching Repository of AI-Infused Learning

This assignment integrates AI into graduate-level maternal and infant nutrition coursework by requiring students to generate recommendations from an AI tool, then verify, analyze, and refine them using evidence-based resources and theoretical frameworks. The strategy emphasizes critical thinking, professional judgment, and ethical responsibility in applying AI within healthcare education.

Ai Research Project: Rhetorical Analysis Of Llm Output, Laura M. Dumin

Teaching Repository of AI-Infused Learning

Students are asked to work in teams to look at the output from an LLM and to identify patterns in how language is used and information is being presented.

Control + Alt + Redesign: Ai, Teaching, And The People Who Do Both, Devon Cadwell Bazata, Danielle Pratt, Amanda Pacheco, Karen Haslett

Teaching Repository of AI-Infused Learning

Students are allowed to select their own AI tool to use. We tell them in our module that “The most well-known AI tools are text-generating AI tools, like OpenAI: Chat GPT, Bing, Google Bard/Gemini, Co-Pilot, etc.” We also include our own narrative in the module, each as a separate page in Canvas with faculty-generated examples. These include: AI for BGS Students; What is Generative Artificial Intelligence?; Ways that AI Can Help You; Selected AI Options; Prompt Engineering 101; AI Playground assignment.

From Myths To Mastery: A Progressive Ai Literacy Course Using The Clear Framework And Authentic Problem-Solving, Laura J. Mcneill, Sierra Cantrell

Teaching Repository of AI-Infused Learning

"Digital Minds: Your AI Adventure Begins" employs a 14-week progressive scaffolding approach that transforms freshman students from passive AI consumers into critical collaborators through weekly hands-on experiments with tools like ChatGPT, Gemini, and Adobe Firefly. Each week features structured "AI Questions" that connect course concepts to students' lived experiences, combined with practical activities like creating Gemini GEMS projects that encourage students to investigate AI myths and cross-reference external sources in real-time. The course culminates in collaborative AI-human projects addressing real community problems, with ongoing peer evaluation and reflection that emphasizes critical thinking and ethical reasoning over technical outputs.

Beat Chatgpt: Cultivating Critical Ai Literacy Through Student-Created Problems, Sybil Prince Nelson

Teaching Repository of AI-Infused Learning

Beat ChatGPT is a gamified assignment that positions AI as both a rival and a resource to foster critical AI literacy. Students either design statistics problems that ChatGPT is likely to answer incorrectly or critique flawed AI-generated solutions, then provide accurate responses and reflections. This strategy not only deepens disciplinary understanding but also equips students to engage with AI tools thoughtfully, ethically, and creatively.

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 …

The Key To Acquiring The Language Of Law, Science, And Technology In The Esl College Classroom, Patricia George-Hunter

Journal of English Learner Education

Since vocabulary plays a significant role in second language acquisition, expansive vocabulary targets should be set and pursued. This paper explores the results of introducing affixes to develop vocabulary and increase motivation for beginner to intermediate-level English language learners (ELLs) pursuing academic disciplines in law, science, and technology at a New York City community college. Participants included 23 ELLs with diverse linguistic, educational, and sociocultural backgrounds enrolled in an online synchronous Integrative Language Seminar (ILS) designed to develop all areas of English language proficiency. Pre‑, post‑, delayed tests, questionnaires, and post‑intervention interviews were conducted and analyzed to establish the language …