Digital Commons Network^™

Economic Instrumentality Report Of Work & Occc, Manuel A. Rivera, Stephen Pratt, Frank Badu-Baiden, Margaret Zorrilla

Hospitality+™ Center for Innovation and Training

This report presents a comprehensive overview of the workforce supporting the OCCC, based on a research partnership with the University of Central Florida’s Rosen College of Hospitality Management. The analysis integrates nine interconnected studies examining workforce characteristics, job satisfaction, quality of life, commitment, retention, financial sustainability, and perceptions of meaning in work. Findings are based on 299 valid responses, representing front-line, supervisory, and managerial employees across the Central Florida events and tourism ecosystem.

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 …

Processing, Characterization And Performance Of Ceramic Liners For Hydrogen Gas Turbine Engines, Fahim Faysal

Graduate Studies Theses and Dissertations 2026

Advanced ceramics and ceramic matrix composites (CMCs) are known for their endurance at high temperatures. This study investigated the fabrication and testing of two material systems: silicon carbide nitride (SiCN) reinforced with yttria-stabilized zirconia (YSZ) fiber manufactured through polymer infiltration and pyrolysis (PIP), and 3D-printed alumina (Al₂O₃) ceramics. The CMC thermal stability at high temperatures was explored through a hydrogen torch test. The CMC surface could withstand a temperature of 1,400°C for 10 minutes during the torch test. Furthermore, the internal surface of a hydrogen combustion chamber was coated with CMC to assess its applicability as a protective barrier against …

Reflection In Still Waters: Generative Ai's Production Of Language, Jonathan D. Hawks

Graduate Studies Theses and Dissertations 2026

Language is a conceptual process of meaning-making as well as a social construction as defined by Saussure, Bakhtin, and Lacan. Large Language Models (LLMs) engage with neither process and instead present language as a finished and consumable product which undermines its fundamental aspects. The difference between representing language through probability and its structural components instead of its more inherent qualities is not a pointless distinction. This paper utilizes Narcissus as a central metaphor to show how people misread the outputs of LLMs as language which imparts to those reflected words meaning on par with our own conceptualizations of reality. People …

Two Essays On Geopolitical Risk And Investment Decisions, Jie Hu

Graduate Studies Theses and Dissertations 2026

My first essay studies how global institutional investors adjust cross-country equity allocations in response to rising geopolitical risk. Using quarterly equity holdings of institutional investors over 1997–2023, combined with news-based global and country-specific geopolitical risk indices, I find that following increases in geopolitical risk within a country, foreign institutions actively reduce their allocations in that country and the nearby region. Elevated global geopolitical uncertainty triggers both a flight-to-home response toward domestic equities and a flight-to-safety effect toward U.S. equities. Investor responses are heterogeneous: Institutions with higher geopolitical risk sensitivity respond more aggressively, whereas larger or better-performing hedge funds often maintain …

Creating Your Own Learning Path: Lessons From The Physics Classroom, Natalia Romero

Teaching Repository of AI-Infused Learning

Driving Your Own Learning Path is a strategy that guides students to create personalized AI-supported learning. Students initiate and refine their own prompts, progressing from basic questions to deeper conceptual and relational inquiries while using AI as a thinking partner rather than an answer provider. This approach strengthens self-regulation and metacognitive awareness by allowing students to reflect on their learning process and adapt their study strategies in real time.

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.

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

Ai-Assisted Literary Analysis In A Flipped Classroom Model: Fostering Critical Engagement, Tizziana Valdivieso, Jules Lemus Gonzalez

Teaching Repository of AI-Infused Learning

The activity was structured into four phases: in the preparation phase, students built a common knowledge base by reading about Salvadoran social issues through literature. During the controlled and free tasks phase, students used GenAI tools to generate outlines, compare them with their own analyses, and refine their essays through brainstorming, drafting, and peer review. Finally, in the evaluation phase, students presented their work in a mock conference and reflected critically on AI’s usefulness, limitations, and ethical implications while demonstrating ownership of their interpretations.

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.

Practicing Disciplinary Role-Play With Ai: Bioinspired Innovation Meets Business Strategy, Christine R. Rodriguez

Teaching Repository of AI-Infused Learning

Students use Blackboard’s AI Conversation tool to rehearse their team’s innovation pitch with a simulated investor. This role-play activity prepares students to confidently communicate scientific ideas in business contexts and strengthens final group presentations.

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.

Making The Invisible Visible: Cultivating Contexts For Equitable Workloads, Andrea Carlile

Journal of the Association for Communication Administration

Women make up the majority of degree earners and most of those teaching at higher education institutions. Yet, women are not advancing to the highest ranks. How female faculty receive credit for their work may account for the discrepancy in women advancing to the highest ranks. This single-institution case study explored institutional practices and policies as they related to workload satisfaction and rewards for female faculty. Following the framework from the Faculty Workload and Rewards Project, FWRP, the case used the constructs of equity-minded faculty workloads to shape the analysis. Three themes emerged in the analysis: context matters, transparency practices, …

Complete Volume 42

Journal of the Association for Communication Administration

This is the complete Volume 42 of the Journal of the Association for Communication Administration.

Partnering For International Student Success: Opportunities For Academic Librarians And Esl Faculty To Support Research And Information Literacy Skills, Rachel E. Trnka

Faculty Scholarship and Creative Works

Presentation at the Graduate Student Forum of the TESOL Virtual Conference

With the growing number of international students attending American universities in recent years, academic librarians recognize the importance of serving the needs of that population. However, many librarians acknowledge that they feel unprepared to support international students, due to a lack of training or experience working with multilingual or second-language learners. This presentation offers a review of the literature exploring collaborations between librarians and instructors to better support ELLs in a college and university setting and presents recommendations for both librarians and faculty. While this session focuses on academic …

Ucf Libraries Annual Report 2024-2025, John C. Hitt Library

Libraries' Documents

Annual report for the UCF Libraries for the year 2024-2025

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda 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_seagrasspersistence_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 (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

Locations Of Outfalls 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_Outfalls_IRL_LWL.shp was created under grants 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 (IRL) and Lake Worth Lagoon (LWL).

The dataset presented here includes the location of outfalls identified throughout the study region and general characteristics of the shoreline where they were identified.

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, …

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 …

The Algorithmic Public Sphere: Ai-Generated News Site As A Conduit To Social Capital, Seungahn Nah, Xinlei Wu, Ernest Makata, Jun Luo, Ian Koratsky, David Park, Seungbae Kim

Human-Machine Communication

A growing body of scholarship on AI-generated news has examined its impact on various outcomes. However, less attention has been paid to the actual implementation of AI-generated news sites and their effectiveness on civic consequences. This study examines the effects of an AI-generated, community-centered, nonprofit news site on civic outcomes such as trust in nonprofit organizations, trust in AI-generated news, social capital, and civic engagement. Data was collected from participants at a large southeastern university who visited the AI-generated news site over a four-week period and responded to a series of open-ended questions weekly. A total of 721 open-ended responses …

Disentangling (Hybrid) Trustworthiness Of Communicative Generative Ai As Intermediary For Science-Related Information—Results From A Qualitative Interview Study, Evelyn Jonas, Esther Greussing, Monika Taddicken

Human-Machine Communication

The increasing prevalence of communicative Generative AI, such as ChatGPT, highlights their transformative potential for science communication while raising critical questions about users’ trust in these systems conveying science-related information. As perceptual hybrids these agents challenge traditional notions of trustworthiness, and it remains unclear to whom or what users refer to as the object of trust. This qualitative interview study integrates dimensions from human-machine and epistemic trustworthiness within a hybrid framework, complemented by a descriptive source orientation model. It highlights that trustworthiness assessments can extend beyond a chatbot’s interface, emphasizing the perceived salience of its underlying infrastructure, developers, and organizations. …

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 …

Tools Or Teammates? Examining Agency Negotiation In Human-Genai Collaboration In Creative Work, Yuan Sun, Ignacio Fernandez Cruz, Donggyu Kim

Human-Machine Communication

As Generative AI (GenAI) becomes increasingly integrated into creative work, creative professionals face an emerging dilemma: while they can leverage powerful AI capabilities through prompts, the automated process also introduces uncertainties and risks. This study, based on semi-structured interviews with 18 creative professionals, explores their experiences and perceptions of using GenAI tools in creative work. The findings revealed that GenAI’s perceived adaptability, creativity, and scalability enhanced sense of agency in the creative process. Conversely, limitations in customizability, uncertainty, and feedback mechanisms undermined human agency. These perceptions were influenced by users’ conceptualization of GenAI—as either a simple tool or a collaborative …

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 …

Generative Ai In Higher Education: A Comparative Study Of Chatgpt Adoption, Perception, And Use Among College Students In The Global North And Global South, Shudipta Sharma, Louisa Ha

Human-Machine Communication

Generative AI tools like ChatGPT have become the fastest-adopted technology, raising concerns about its misuse in education. This study explores ChatGPT usage for class assignments among 646 college students in the U.S. and Bangladesh, focusing on their perceptions and trust in the tool. Using the technology acceptance model, along with internet efficacy and social persuasion theories, we found that students in both countries had high levels of awareness and adoption. Individual factors did not significantly influence ChatGPT usage, while social persuasion, perceived usefulness, perceived ease of use, and country were the strongest predictors. The findings suggest that AI technology may …

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 …

“Made Classes Easier Than A Coloring Sheet”: Student Perceptions And Uses Of Genai, Jessalyn I. Vallade, Renee Kaufmann, Trenton Upchurch

Human-Machine Communication

Student use of GenAI is growing and so are the faculty concerns. With research providing mixed suggestions and approaches, this study sought to understand the student perspective on ethical uses, their own motives and perceived benefits of GenAI use, the risks involved, and their perceptions of susceptibility and severity related to unethical use (i.e., plagiarism/cheating). Results revealed the complexity of student considerations regarding the uses, risks, and benefits of GenAI and its potential for personalized learning enhancement. Students generally view the likelihood of being caught submitting AI-generated work as their own as high and the consequences as severe. The viability …

Coding Openai In An Open-Sourced Code Sharing Platform: Exploring The Collaboration Networks On Chatgpt Projects On Github, Jingyi Pu, Xinzhi Zhang

Human-Machine Communication

Amid rapid advancements in generative AI (GenAI) tools, individuals and organizations—including both professional and amateur developers—are actively sharing and collaboratively developing GenAI code on open-source platforms, driving the adaptation and creation of new applications. However, it remains unclear whether such collaboration disrupts existing technological hierarchies or reinforces them; addressing this question is crucial for assessing the democratizing potential of open-source practice and informing policies for equitable innovation. Drawing on world-systems theory, we examine owner-contributor networks in ChatGPT-related GitHub repositories since ChatGPT’s launch in late 2022, complemented by qualitative content analysis of major repository themes and code functions. We find that …