Digital Commons Network^™

Rethinking Textbook Reading Checks: Designing Reflective Assignments With Ai, Sue A. Bauer, Ezekiel Walker Dr.

Teaching Online Pedagogical Repository

This strategy uses AI as a planning partner to help instructors design reading-based assignments that move beyond traditional quizzes by emphasizing analysis, interpretation, and reflection on textbook chapters. By providing AI with key themes and learning objectives, instructors can quickly generate structured prompts and rubrics that assess insight, use of evidence, and clarity of reasoning. The approach encourages deeper student engagement with readings while allowing instructors to customize and maintain oversight of the assignment and evaluation process.

Pennies In The Bank: Building Background Knowledge, Brooke Lee Webster

Journal of English Learner Education

Abstract

Across the United States, teachers are met with stringent time requirements that may not align with the needs of the students inside the classroom. This paper explores the efforts of condensing and prioritizing in a diverse classroom. Through a reflective narrative of teaching comprehension to emerging bilingual students, this paper presents a structure that leverages morning meetings and discussion as prongs for maximizing the benefit of students within limited instructional minutes. Tasks that build competence, confidence, and connection cycle to foster the environment that students need to thrive. Additionally, this paper investigates the role of building background knowledge in …

Supporting English Language Learners: A Comprehensive Guide For Long-Term Success, Yana Shifrina-Piljovin

Journal of English Learner Education

Abstract

This literature review provides a thorough examination of the various multifaceted challenges encountered by Long-Term English Language Learners (LTELLs) in educational settings. It critically analyzes the effectiveness of current support systems and instructional strategies, synthesizes relevant recent research findings, and offers targeted recommendations aimed for educators and policymakers striving to improve educational outcomes for LTELLs. The review evaluates the efficacy of existing support frameworks and teaching methodologies, synthesizes contemporary research findings, and presents actionable recommendations for educators and legislators to enhance the learning outcomes of these students.

Supporting English Language Learners LTELLs) in classroom settings requires a deep understanding …

Are Testing Accommodations Helping Or Not? A Review Of English Learner (El) Accommodations On Standardized Tests, Cole Forbes

Journal of English Learner Education

This paper examines and critiques English Learner (EL) testing accommodation policies. They have been ineffective at increasing test scores and accessibility. The policies have mandated that EL students participate in high-stakes assessments with accommodations, and sometimes without them. The purpose of the accommodation is to create an even playing field for all test-takers, so that no subgroup is put at a disadvantage, which would compromise their scores and lead to misclassification of students. Laws and Acts such as the Bilingual Education Act of 1968, No Child Left Behind, and the Every Student Succeeds Act have updated and mandated a more …

Differentiated Instruction For Multilingual Learners: A Thematic Analysis Of Research And Practice, Mohsine Bensaid, Jiayuan Jiang

Journal of English Learner Education

Differentiated instruction (DI) is widely promoted as a means of supporting diverse learners, yet its enactment for multilingual learners (MLs) remains uneven and under-theorized in mainstream classrooms. This study examines how DI is conceptualized and implemented to support MLs by attending to learners’ linguistic, cultural, and academic profiles. Using reflexive thematic analysis, this qualitative synthesis examines 20 peer-reviewed empirical studies published between 2010 and 2024 in English-medium K–12 contexts in the United States, with particular attention to elementary settings when specified. Analytic interpretation was supported by practitioner-based reflection functioning as an interpretive lens rather than a separate data source. Four …

A Quasi-Experimental Study On The Effectiveness Of Achieve3000 On The Reading Comprehension Scores Of Ells With Ld, Paula P. Fields

Journal of English Learner Education

The purpose of this quasi-experimental pretest-posttest study was to determine if a significant difference existed in the comprehension scores of secondary English Language Learners with learning disabilities after treatment. The problem addressed is that a significant correlation exists between English language learners and learning-disabled students’ low reading proficiency scores and student achievement, leading to decreased graduation rates. Schema theory served as the theoretical foundation of this research because when the appropriate schema is activated, it helps increase comprehension. The research question guiding this study was: Is there a significant difference between the reading comprehension scores of high school English language …

Reading Comprehension Interventions For Multilingual Learners With Disabilities: A Systematic Review, Sariya Shabnam, Jennifer E. Smith, Samiratu Bashiru

Journal of English Learner Education

Multilingual learners with disabilities (MLWDs) face substantial barriers to reading comprehension given the intersecting challenges of language acquisition and disability (Artzi et al., 2022; Frates et al., 2024). Students with disabilities often need explicit, strategy-based instruction with modeling, guided practice, and scaffolding (Frates et al., 2024; Wawire et al., 2024; Moura, 2024). When learners are also multilingual, interventions must be linguistically accessible and responsive to diverse cognitive profiles (Moura, 2024; Sarisahin, 2020). MLWDs comprise 15.8% of English learners in U.S. public schools (NCES, 2024), yet research on effective comprehension interventions remains limited; most studies treat multilingual learners or students with …

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 …

Ai In Medicine: A Game-Changer In Education And Practice, Katia Ferdowsi

Teaching Repository of AI-Infused Learning

This entry describes the integration of AI-powered platforms such as Osmosis, Khan Academy, and ChatGPT into undergraduate medical education. These tools support student engagement, deepen understanding of complex topics, and prepare learners for a tech-driven medical landscape. By embedding AI into course design, educators can address challenges such as limited clinical exposure, diverse learning needs, and time constraints.

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 …

Interpretable Linear Models For Heart Disease Prediction: A Comparative Study, Dipok Deb, Emran Hossain

Data Science and Data Mining

Heart disease remains a leading cause of mortality worldwide, underscoring the importance of accurate and transparent methods for early diagnosis. While many machine learning and artificial intelligence models have demonstrated strong predictive performance, their limited interpretability poses challenges for clinical adoption. In this study, we evaluate three interpretable linear classification models—Generalized Linear Model (GLM) logistic regression, L1-regularized (Lasso) logistic regression, and Linear Discriminant Analysis (LDA)—for heart disease prediction using the Cleveland Heart Disease dataset. Following comprehensive data preprocessing, the models are assessed on a held-out test set using standard evaluation metrics, including accuracy, precision, recall, F1-score, and the area under …

Predicting Male Flowering Time In Maize Using Machine Learning Technique, Dipok Deb

Data Science and Data Mining

This study compares three machine learning approaches—Elastic Net, Principal Component Regression (PCR), and Partial Least Squares (PLS)—for variable selection and prediction within a high-dimensional Maize-GWAS framework. The goal was to accurately predict the complex polygenic trait of time to male flowering while managing the challenges of numerous, highly correlated genetic markers. The ENET model, which combines l1 and l2 penalties, delivered the highest predictive accuracy and successfully identified a select subset of the most influential genetic variants. In contrast, PCR and PLS, both utilizing dimension reduction, offered a significant advantage in computational speed and model stability. The findings confirm that …

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 …

The Cypress Dome 2026, Issue 37, The Cypress Dome Society

The Cypress Dome

Featuring the work of Stephanie Arrarte, Miranda Attales, Al Basbano, Sophia Camarena, Sophia Ferrara, Leo Hall, Sofia Infante Roca, Amelia Kimberling, Emma Kolmetz, Antonio Vincenzo Lanni, Erik Leon, Niko Martin, Mariana Martinez, Esha Modi, Lela Norman, Mariana Perozo, Elio Rotolo, Raiya Shaw, Daniela Torres, Gabriel Walters, and Skyelar Wiedrich.

Founded in 1989 and named after a natural feature of our campus, The Cypress Dome is the University of Central Florida’s undergraduate literary journal. It is edited, designed, and produced by a selected editorial team of students from our literary organization, The Cypress Dome Society, as part of a year-long internship. …

Multi-Scale Drivers Of Beetle Biodiversity In A Rapidly Urbanizing Region, Alessandra Pandolfi

Graduate Studies Theses and Dissertations 2026

As cities continue to expand, designing urban landscapes that balance ecological resilience with biodiversity conservation has emerged as a pressing challenge. This dissertation examines urban ecosystems as complex and dynamic environments shaping plant and animal communities, with a particular focus on ground-dwelling beetles as ecologically significant indicators of environmental change. Conducted across the Orlando metropolitan area, one of the fastest-growing regions in the United States, this dissertation integrates experimental and observational approaches. Specifically, it aims to (1) test sustainable landscaping practices, (2) compare the ecological outcomes of conventional and alternative residential landscape designs, and (3) assess how gradients of urbanization …

Human-Centered Governance Of Climate Resilience: Integrating Sustainability, Equity, And Mental Health, Chelcee A. Pangerl

Graduate Studies Theses and Dissertations 2026

This dissertation examines how sustainability and resilience are defined, implemented, and experienced across three levels of climate governance: household perception, community experience, and federal policy. Climate resilience is often evaluated through infrastructure performance, emissions targets, restoration timelines, and preparedness systems, yet these measures do not fully capture how residents experience uncertainty, support, equity, and mental health. To address this gap, the dissertation develops and applies the Integrated Policy Framework for Sustainability and Resilience (IPFSR). IPFSR organizes six domains into three functional categories: policy outcomes, human-centered dimensions, and implementation mechanisms. Sustainability and operational/physical resilience are treated as policy outcomes; mental health …

Sustaining High-Quality Service-Learning In Research Intensive Universities: A Qualitative Study Of Instructor Perspectives, Marika Koch

Graduate Studies Theses and Dissertations 2026

In a world that often feels disconnected due to our sociopolitical climate, there is a need to create socially aware and civically engaged adults. Service-learning integrated into higher education courses can do that and more. Research indicates that both students and the community benefit significantly when students participate in effective service-learning classes. Students who take service-learning courses in college tend to exhibit higher academic achievement, enhanced social and emotional skills, and greater long-term civic engagement. Effective service-learning courses share three common elements: they foster a strong connection to course objectives, promote reciprocity for all involved, and encourage active student reflection. …

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 …