Digital Commons Network^™

Evaluating Regularized Logistic Regression And K-Nn On Mnist Under Increasing Random Missingness, Daniel Markwei

Data Science and Data Mining

This paper investigates the effect of random missingness on the performance of regularized multinomial logistic regression and the k-nearest neighbors (k-NN) classifier for handwritten digit recognition on the MNIST dataset. In particular, we study L1-regularized (LASSO) logistic regression and L2-regularized (Ridge) logistic regression alongside k-NN. Varying percentages of random missingness were introduced into the original dataset, and each model was evaluated in terms of its classification performance. The results show that random missingness degrades the performance of all three classifiers. Overall, k-NN consistently achieves higher accuracy than both L1- and L2-regularized logistic regression across all missingness levels; however, its performance …

Ai-Powered Pathways To Open Education: Enhancing Practice And Expanding Discovery, Rebecca Mcnulty, Lily Dubach

Faculty Scholarship and Creative Works

Generative AI is changing how we teach and learn, and this session will show practical ways it can support open education. We will look at two everyday challenges: finding aligned open materials and spotting places in a course where open practices could enhance opportunities for collaborative learning. An instructional designer will demonstrate how custom GPTs can review a syllabus and suggest places where open pedagogy could involve students in co-creating and sharing knowledge. A librarian will show how large language models can help locate courses and syllabi that already use open practices, making it easier for faculty to discover and …

Video-Based, Small Group, Synchronous Discussions (Vssd), Jeff Renfrow

Teaching Online Pedagogical Repository

The VSSD is a research-supported online discussion model that can produce significant increases in student perceptions of social presence, learning, and satisfaction as compared to the traditional text-based, asynchronous, whole-group discussion model. In the VSSD, students lead the discussion experience by scheduling a synchronous, remote video meeting with their small group, they engage in the discussion topic for 30 to 45 minutes, then individually record a privte reflection video that is submitted to the instructor for evaluation and feedback.

Ai-Generated Musical Educational Videos: A Creative Learning Strategy For Any Discipline, Gulfem I. Yucelen

Teaching Repository of AI-Infused Learning

In this activity, students transform course concepts into original songs by writing lyrics, refining them with AI, and generating music and video content. Generative AI tools support the creative process, while students provide oversight to ensure accuracy and clarity. The final product is a musical educational video that deepens understanding and can also be shared with peers or younger learners.

Ai Role-Play Interview Simulation In A Graduate-Level Research Methods Course, Julie Siddique

Teaching Repository of AI-Infused Learning

To enhance qualitative research skills and deepen student engagement, I introduced an AI-driven role-play strategy in a graduate-level research methods course. Students were asked to practice interview skills using an AI bot that responded as a simulated persona, allowing students to practice semi-structured interviewing and navigate ethical considerations in a simulated context.

Rethinking The Mindfulness And Mindlessness In Media Evocation Of Human-Machine Communication: A Case Study On The In-Car Robot “Nomi”, Bing Wang, Longxiang Luo, Weizi Liu

Human-Machine Communication

The commonly used Media Equation framework in human-machine communication research exhibits limitations when explaining human-machine relationships in the AI era, giving rise to the Media Evocation paradigm. Based on the Media Evocation framework, this study employs in-depth interviews to investigate whether interactions between humans and the in-car robot Nomi are mindful or mindless, while also examining whether these interactions prompt reflections on the machine’s ontology. The findings indicate that most participants perceive Nomi as a human-like actor and interact with it mindfully. Highquality social cues, such as voice and facial expressions, can trigger mindful anthropomorphic responses in human-machine interaction, eliciting …

Human-Machine Communication: Complete Volume. Volume 12

Human-Machine Communication

This is the complete volume of HMC Volume 12.

Normalizing Ai: The Evanishing Effect And Rethinking The Machine Heuristic, Bumju Jung, Cameron W. Piercy, Patric R. Spence

Human-Machine Communication

This study examines how people evaluate factual claims attributed to human journalists versus artificial intelligence (AI) news bots, and how these evaluations are shaped by individual endorsement of the machine heuristic. An online experiment (N = 233) used a 2 (Agent: human vs. AI) × 2 (Information Veracity: accurate vs. inaccurate) design in which participants viewed a short tweet embedded in either a human or AI profile and then rated perceptions of source credibility, objectivity, bias, and accuracy. Endorsement of an AI-focused machine heuristic was significantly associated with higher source credibility, perceived objectivity, and perceived accuracy, and lower perceived bias, …

Ai Humanizers, Pragmatists, Skeptics: A Cluster Analysis Of Normative Attitudes For Ai’S Capabilities And Roles, Kate K. Mays, Ekaterina Novozhilova

Human-Machine Communication

This study explores people’s attitudes about artificial intelligence’s (AI) capabilities through a normative lens. Drawing from literature on phenomenological, ontological, and heuristic judgments about machines, we aim to better understand what capabilities people think AI should be able to have and how that relates to enthusiasm about having AI take certain roles in their lives. Survey participants (N = 601) were grouped via two-step clustering based on their attitudes, revealing three clusters: AI humanizers, who expect empathy and social interaction from AI; AI pragmatists, who expect cognitive capabilities; and AI skeptics, who prefer AI with limited human-like traits and emphasize …

Explain. Write. Edit. Summarise: An Exploratory Study On Agency Negotiations In Student-Chatbot Conversations, Árni Már Einarsson Mr, Ekaterina Pashevich

Human-Machine Communication

LLM-based chatbots such as ChatGPT have given technologies that traditionally operated on the back end a user-friendly, conversational interface. Their rapid adoption among students has prompted universities worldwide to issue guidelines and re-examine existing practices. Supplementing prior research based on discourse analysis and self-reported measures (e.g., surveys and interviews), we propose an approach for analyzing naturally occurring student–chatbot interactions, rooted in conversation analysis of chats (n = 503) donated by eight current Danish university students. The analysis identifies conversational patterns across three main types of activities and examines how agency is negotiated across the structural dimensions of signification, domination, and …

Two Years To Madness: A 30-Month Journal Of Human–Machine Communication And Second-Hand Reality, Andrew Prahl

Human-Machine Communication

Drawing on a 30-month analytic-autoethnography of the first author’s journal as an earlyaccess OpenAI user, this study examines how sustained communication with generative AI affects everyday lived experience and identity. Inductive content analysis of 166 entries by independent coders is followed by theory-driven coding with the extended-mind and sensemaking frameworks. Three interlocking themes emerge. Enabled and Degraded captures the tension between new capabilities and efficiency versus creeping skill atrophy. Scary New World charts rising anxiety as productivity gains erode competitive and relational distinctiveness. The findings also show a growing, pervasive doubt about the human authorship of texts, images, and other …

The Material Condition: A Practice Theory-Oriented Infrastructural Turn To The Ethics Of Human-Ai Communication, Anne Mollen, Sigrid Kannengießer

Human-Machine Communication

This paper calls for an infrastructural turn in human–AI communication, centered on the materiality of generative AI. We argue that a nuanced understanding of ethical implications of generative AI necessitates examining the socio-technical infrastructures that constitute these systems. These infrastructures encompass not only technological artifacts but also human actors (developers, users, data subjects, etc.) and their practices as well as social contexts in designing, developing, implementing, and maintaining AI. Therefore, we propose to adopt a practice theory approach, to analyze how ethical concerns materialize within these infrastructures. This perspective reveals how infrastructures are contested spaces in global production chains, highlighting …

The Epistemic Power Of Human-Machine Communication, Katrin Etzrodt, Autumn P. Edwards

Human-Machine Communication

This editorial introduces Volume 12 of Human–Machine Communication by positioning communicative machines as epistemic provocateurs that unsettle inherited distinctions among agency, meaning, and relation. Rather than treating these disruptions as anomalies to be resolved, the editorial argues that Human–Machine Communication (HMC) is distinctively equipped to register, analyze, and sustain such epistemological tensions. Drawing on philosophical traditions from Aristotle to Marx and Heidegger, the authors show how contemporary communicative machines simultaneously strain multiple historical settlements that once stabilized human–machine boundaries. The volume frames HMC as a “seismograph” for and as a “practice of” epistemological change, tracing how agency and meaning are …

Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen

Human-Machine Communication

The climate crisis of the 21st century represents an existential risk to humanity and biodiversity, posing essential questions of how communication may serve to coordinate mitigation of and adaptation to climate change. One recent response has been massive investments by governments and corporations in systems providing feedback on the state of Earth— Whole Earth Machines (WEMs). For human-machine communication (HMC) studies, WEMs invite sustained engagement with communication infrastructures as a key constituent of research agendas, beyond the interface encounters at the center of many HMC studies to date. The article presents a conceptualization and operationalization of WEMs as critical infrastructures …

Covid-19 Infection And Hypertension In Correlation With Race, Elizabeth Durkin

The Pegasus Review: UCF Undergraduate Research Journal

Healthcare disparities exist in the U.S. between different races. This study investigated the frequency of COVID-19 infections and hypertension cases among five different racial groups (White, Black, Asian, Native American, and Native Hawaiian). The study also examined the correlation between COVID-19 infections and hypertension with the hypothesis that because of disease predisposition and socioeconomic barriers, Black populations would have the highest rates of COVID-19 infections and hypertension. We used data from the Kaiser Family Foundation regarding COVID-19 cases and race in conjunction with Census population data to determine whether COVID-19 case frequency means differed by race. Data on hypertension and …

Digital Redlining In The Smart City: Artificial Intelligence, Housing Law, And Structural Urban Inequality, Spurthi Nrusimhadevara

Undergraduate Scholarship and Creative Works

Artificial intelligence is increasingly used in urban housing systems, where it shapes decisions about tenant screening, rent pricing, lending, zoning, and neighborhood investment. Although these tools are often promoted as efficient and impartial, they frequently rely on historical data that reflect racial, economic, and spatial inequality. As a result, AI systems can reproduce discriminatory outcomes even when protected characteristics are not directly used. This paper examines digital redlining in the smart city and argues that algorithmic housing tools mirror long standing structural inequities that raise significant concerns under fair housing and civil rights law. It evaluates how automated screening, predictive …

Music Interventions For Critically Ill Patients: Evaluating Effects Of Music On Psychoemotional Symptoms In Critically Ill Patients Receiving Respiratory Support, Allyson Crighton

Honors Undergraduate Theses

Critically ill adults receiving respiratory support in intensive care units (ICUs) frequently experience psychoemotional disturbances such as agitation, anxiety, and delirium, which contribute to prolonged ventilation, increased sedative use, and adverse patient outcomes. While pharmacologic management remains standard practice, associated risks including oversedation and delirium highlight the need for safe, complementary interventions. Emerging evidence suggests that music-based interventions may offer a non-invasive, cost-effective strategy to reduce psychological or emotional distress in this vulnerable population. This integrative literature review examined the effects of music interventions, including passive music listening and structured music therapy, on agitation and related psychoemotional outcomes in critically …

Parenting Stress And Its Association With Parental Technoference: An Integrative Literature Review, Emily S. Machuca

Honors Undergraduate Theses

Introduction: Today, digital devices are a part of daily life, but can serve as a distraction that interrupts important relationships, a process referred to as technoference. In the context of parenting, device use during child interactions may reduce parental attentiveness and engagement, with potential implications for child development and behavior. Parenting stress may influence how and why parents engage with digital devices in the presence of their children. However, the association between parenting stress and parental technoference remains unclear in the current literature. This integrative literature review aimed to synthesize existing evidence examining the relationship between parenting stress and parental …

Examining The Effectiveness Of Icu Diaries In Reducing Post–Intensive Care Syndrome (Pics) Psychological Symptoms: A Rapid Review Of United States–Based Studies, Lananh Tran

Honors Undergraduate Theses

Background: The growing recognition of Post-Intensive Care Syndrome (PICS) has prompted investigation into interventions, such as ICU diaries, to mitigate the long-term psychological effects of PICS. Intensive care unit (ICU) diaries – journals written by clinicians and loved ones during an ICU admission – are a tool that can help patients reconstruct the events of their critical care experience. Entries in the diary may include clinical updates, explanation of treatments, and encouraging words from loved ones or staff. Previous research in European countries found ICU diaries may be effective in reducing psychological effects post ICU admission.

Research question: The aim …

Show Your Work: Assessment In The Age Of Ai, Kevin Yee, Laurie Uttich, Elizabeth Giltner, Anastasia Bojanowski

UCF Created OER Works

The fourth book from a team of college instructors who have been in the trenches of AI and higher education since the beginning, Show Your Work: Assessment in the Age of AI is a practical, discipline-spanning guide for educators who are ready to redesign their assignments for a world where AI is a given. Organized around three approaches—co-creating with AI, writing without it, and finding alternative AI-resistant assessments—this book offers more than 50 concrete strategies that faculty can mix, match, and adapt to their own courses and contexts. Whether you want to integrate AI as a learning tool, build assignments …

University Of Central Florida Graduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Leading With Our Hearts, Ananya Agarwal

High Impact Practices Student Showcase Spring 2026

This past semester I volunteer with hearts for the homeless Orlando where I performed health screenings on homeless people and contributed to donation drives. Hearts for the homeless has a very rich history. It was founded by a former UCF Student Andrew Aboujaoude, who was also a fellow Lead Scholar. He saw a very large issue in the homeless community that hypertension or high blood pressure was one of the leading causes of death. He created hearts for the homeless to help solve this issue by bringing free regular health screenings to the homeless community of Orlando.  Hearts for the …

Beyond The Visual, Allison B. Wallner

High Impact Practices Student Showcase Spring 2026

We are surrounded by language and design daily. With the age of technology and social media, we are interacting with it more than ever before. Social platforms such as Spotify, the interest of my research, rely on carefully crafted language and design on their platform in order to shape user behavior. Their goal being to keep user engagement. Throughout my study I explored three main sections: Easter eggs, the AI DJ, and comparing the algorithm of certain shuffle features in order to better understand how such apps bring attention to their features and maintain attention from their users. My results …

The Impact Of Artificial Intelligence On Student Learning Outcomes, Aubrey A. Jung

High Impact Practices Student Showcase Spring 2026

This study examines factors that predict the perceived impact of artificial intelligence tool usage on academic grades among Indian college students. Using a dataset of 3614 Google Forms survey responses collected in May 2025 (Kapilavayi, 2025), a multiple linear regression model was developed with Impact_on_Grades (-5 to +5) as the response variable. After exploratory data analysis, model diagnostics, and model selection procedure, the final model retained the variables: Do_Professors_Allow_Use, AI_Tools_Used, Trust_in_AI_Tools, Preferred_AI_Tool, Daily_Usage_Hours, and the interaction term Daily_Usage_Hours x Do_Professors_Allow_Use. The final model was statistically significant with F - 4.578 and p = 1.225 x 10^-9, also having an adjusted …

Does Dosage Management Of Levothyroxine During Ramadan Improve Outcomes For Hypothyroidism?, John Duran, Dillon Moya, Ethan Cabral, Renan Rodriguez, Mia Ortiz

High Impact Practices Student Showcase Spring 2026

Ramadan fasting alters circadian rhythms and meal timing, interfering with the standard dosage of levothyroxine (LT4) on an empty stomach and impact its absorption. The presentation examines whether dosage management of levothyroxine during Ramadan improves the livelihood of patients with hypothyroidism. Hypothyroidism, characterized by deficient production of thyroid hormones (T3 and T4), leads to elevated thyroid-stimulating hormone (TSH) levels due to reduced negative feedback. Since LT4 is used to normalize TSH levels, disruptions in dosing timing during fasting may result in suboptimal thyroid control. A clinical trial was analyzed comparing regular LT4 dosing with an increased dose of 25 mcg …

What Truly Drives Graduate Earnings?, Aiden Akbarov

High Impact Practices Student Showcase Spring 2026

The goal of my project, Predicting the Paycheck: What Factors Truly Influence Graduate Earnings?, was to see if we could actually predict a college graduate's starting salary using data instead of just guessing. I used a dataset of 172 majors from the American Community Survey to look at how a student's field of study, the gender balance of their major, and the current job market all impact their first paycheck. I wanted to create a tool that helps students understand the financial reality of their degree before they even graduate.

To get my results, I used a Multiple Linear Regression …

Kbootrepair: Automated Llm Guided Repair Of Linux Kernel Boot Failures, Ryan P. Garfinkel

Honors Undergraduate Theses

The Linux kernel is an actively developed, highly configurable system software that supports a diverse range of platforms. Kernel fuzzers, like Google’s syzkaller, have been embraced to find bugs, but they require bootable configurations that work in their environment. However, these tools rely on a set of configurations that exclude most code changes. Each option controls which code is included when the kernel compiles. Making modifications requires extensive knowledge, as there are over 15,000 interrelated configuration options. While prior work has used formal methods to guarantee configuration validity, this doesn’t guarantee bootability. In this paper, we introduce KBootRepair, an iterative …

Experimental And Numerical Study On The Stability Limits Of Ammonia And Ammonia/Hydrogen Flames Inside A Toroidal Jet-Stirred Reactor, Guillermo Alberto Barrios Cadenas

Graduate Studies Theses and Dissertations 2026

Ammonia’s (NH₃) properties as a carbon-free hydrogen carrier, its phase characteristics, and its wide global infrastructure present a solid case as a potential surrogate for carbon-based aviation fuels. Delivering a zero-emission NH₃-based engine requires careful integration and optimization of the combustor and thermal management systems, a process that requires high-fidelity chemical reacting models experimentally validated through the use of simplified combustors. This study investigates NH₃ fundamental combustion characteristics at conditions relevant to aviation gas turbines using a newly constructed toroidal jet-stirred reactor (TJSR) facility. Lean blow-off (LBO) experiments were carried out for NH₃ blends …

Ecological And Evolutionary Divergence Of A Shared Sympatric Color Polymorphism In Paracirrhites Hawkfish, Samuel Greaves

Graduate Studies Theses and Dissertations 2026

Color polymorphism provides a tractable window into how selection, gene flow, and ecology interact to maintain phenotypic diversity and initiate divergence. I investigate the ecological and genomic basis of sympatric light and melanistic morphs in two reef hawkfishes, Paracirrhites arcatus and P. hemistictus, across Guam and Hawai‘i. This study aims to determine whether the color morphs of these hawkfishes are a stable polymorphism or have begun the process of ecological speciation. For P. arcatus revealed substantially lower density on Guam (0.086 ind/m²) than reported for Hawai‘i (0.292 ind/m²) and a strong skew away from the melanistic morph on Guam …

The Vagabond Way: A Qualitative Study Of Intentional Non-Participation In Structured Society, Lorena E. Black

Honors Undergraduate Theses

This study analyzes intentional vagabondage as both a philosophical position and a lived critique of structured society. Using qualitative fieldwork conducted at Fairlawn Family Church in Fort Pierce, Florida—including ten semi-structured interviews, participant observation, and grounded theory analysis—the study examines how individuals who voluntarily disengage from formal systems of housing, labor, and legality construct meaning, identity, and stability beyond institutional boundaries. The analysis identifies three central themes: rhythm, referring to the patterned routines that sustain mobility; reciprocity, which characterizes social exchange and support networks; and refusal, expressed as a deliberate rejection of societal expectations. While many participants describe their paths …