Digital Commons Network^™

Developing Research Question And Writing Questionnaires Activities, Lauren B. Neal

Teaching Repository of AI-Infused Learning

Students draft a research question based on their own experience, then use a conversation with ChatGPT to refine and edit the question. Later in the semester, students develop questionnaire items to address this research question and use ChatGPT to improve the questionnaire items.

Empowering Digital Fluency: A Course-Based Strategy For Practical Ai Tool Integration In Higher Education, Melissa J. Brooks

Teaching Repository of AI-Infused Learning

This course was designed to introduce students to a range of AI tools while enabling hands-on experience in their practical application. Students were required to explore multiple AI tools across domains such as content generation, data visualization, video production, note-taking, and accessibility. The course culminated in a final project where students selected and applied an AI tool (or set of tools) to create a resume, a cover letter, and a presentation about themselves and how they anticipate the use of AI in their chosen Industry. Tools recommended were Jenni.AI, ChatGPT, Slide bean, Canva, Grammarly, Gamma, Synthesia.AI, and Perplexity, Otter.AI. One …

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.

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.

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.

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, …

Dual Or Full Immersion - What Do Wida Access Scores Reveal Might Work Best For Primary Grade Ell Students?, Charla D. Chailland, Lori Gumbert-Harris

Journal of English Learner Education

The purpose of this quantitative study was to examine the academic performance of primary-grade English Language Learner (ELL) students attending Dual Immersion programs compared to their ELL peers in Full Immersion programs. This Indiana study employed a quasi-experimental design for non-equivalent control groups and analyzed three years of WIDA ACCESS assessment scores in reading, writing, and Overall English Proficiency. Archived test results from ELL students who attended one of 12 qualifying Dual Immersion programs were compared to the scores of ELL students who attended one of 12 comparable Full Immersion programs. Results were analyzed by grade level (K-3) and demographic …

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 …

“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 …

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

The Pegasus Review: UCF Undergraduate Research Journal

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

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

The Pegasus Review: UCF Undergraduate Research Journal

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

Examining The Influence Of Multiple Mental Health Trainings On The Andragogical Practices Of Secondary English Language Arts Teachers: A Case Study, Sydney M. Smith

Graduate Thesis and Dissertation post-2024

The increasing prevalence of adolescent mental health issues has underscored the importance of examining how mental health training programs for teachers are implemented. This multiple-case, embedded study explored the impact of mental health trainings under states’ laws and Project AWARE on secondary English language arts (ELA) teachers’ andragogical and hebegogical instructional practices. The research was guided by two key questions: (1) How are mental health trainings under Project AWARE and state laws implemented in two southeastern states? and (2) How do high school English language arts (ELA) teachers in two southeastern states incorporate mental health trainings within their andragogical practices …

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

Graduate Thesis and Dissertation post-2024

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

Marine Ecosystem Services Disruption And Social Violence, Rafael Hurtado-Valdivieso

Graduate Thesis and Dissertation post-2024

Over the past century, human activities have profoundly altered ocean and coastal ecosystems, significantly impacting communities whose livelihoods depend on these environments. This dissertation explores how disruptions in marine ecosystem services contribute to the emergence of social violence in coastal communities, with a specific focus on the Colombian Caribbean. While prior research suggests a potential link between environmental degradation and conflict, empirical evidence remains limited and inconclusive. This study addresses that gap through a multi-method, interdisciplinary approach that integrates environmental science, political science, and computational modeling to examine the mechanisms linking ecosystem disruption to social violence.

The research follows a …

Bridging Data Gaps And Forecasting Challenges In Water Quality Monitoring Using Deep Learning, Rohan Gudla

Graduate Thesis and Dissertation post-2024

Reliable water quality monitoring is critical for protecting public health and enabling sustainable environmental management. However, high rates of missing data often exceed 40% due to sensor failures and operational disruptions severely undermine the utility of environmental monitoring systems. To address this challenge, this thesis presents a three-stage deep learning framework designed to enhance the accuracy and resilience of water quality forecasting. First, a Bidirectional Long Short-Term Memory model with Attention and Autoencoder Modules (BiLSTM-AAM) is introduced to impute long, irregular gaps in multivariate time series. Applied to real-world data from the St. Lucie River Basin, the model achieved a …

Computational Approaches For Rna Structural Motif Analysis: Similarities, Variations, And Spatial Relationships, Md Mahfuzur Rahaman

Graduate Thesis and Dissertation post-2024

The three-dimensional structures of RNA play a critical role in understanding their functions. One way to study the RNA 3D structure is by analyzing recurrent segments within the loop regions of RNAs, known as RNA structural motifs. These motifs can be grouped into families based on their structural features. However, the inherent structural diversity presents challenges in characterizing the similarities, variations, and spatial relationships within RNA motif families. This dissertation presents three computational methods that together provide a comprehensive framework for RNA structural motif analysis. First, RNAMotifComp establishes and visualizes relational networks among structural motif families. By analyzing instances of …

The Association Between The Social Determinants Of Health And Shared Decision Making: An Investigation Of The National Survey Of Children's Health, Vernon T. Headley

Graduate Thesis and Dissertation post-2024

Objective: Shared decision-making (SDM) is defined as a clinical approach that allows both physicians and patients to communicate on the best treatment options that will improve the patient's overall health outcomes. Shared decision-making plays a vital role in how parents engage with their physicians regarding the healthcare needs of their children. This dissertation assessed the association between the social determinants of health and shared decision-making regarding children’s health-related issues.

Methods: The data for the current research were the National Survey of Children’s Health (NSCH), combined 2017-2020. The dependent variable was shared decision-making and included discussing treatment options, raising concerns regarding …

Pilot Fatigue And Required Rest Period For Korean Air Force Pilots Flying High-Performance Aircraft, Mijin Hong

Graduate Thesis and Dissertation post-2024

Over the years, significant advancements have been made in aircraft technology and in understanding the detrimental effects of fatigue on flight performance. However, integrating these advancements into crew rest regulations, particularly for the Republic of Korea Air Force (ROKAF) operating high-performance jets, requires further review. This study employs a systematic review with thematic analysis to assess whether ROKAF’s current rest regulations are sufficient. Relevant studies were identified from English-language databases (e.g., FAA, ICAO, Google Scholar) and Korean-language databases (e.g., RISS, KCI). Titles and abstracts were initially reviewed, followed by full-text assessments based on inclusion and exclusion criteria focusing on military …

Tail-Imbalance Diffusion Equalizer For Class-Balanced Generation, Chinmay Dhanraj Nehate

Graduate Thesis and Dissertation post-2024

Real-world image corpora are often imbalanced. On long-tailed datasets, the head class can outnumber the tail by a large margin, and a vanilla diffusion probabilistic model (DPM) consequently loses fidelity and diversity on rare categories, undermining controllable generation. To address this gap, we present Tail Imbalance Diffusion Equalizer (TIDE), a training framework that restores class balance without discarding data or adding extra training stages. Our contribution is threefold: (i) score field rebalancing, where we embed class-prior knowledge into a mixing matrix that routes gradients toward minority classes, with this class-prior knowledge consisting of the empirical label frequencies in the training …

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

Graduate Thesis and Dissertation post-2024

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

Differential Interferon Synthesis And Signaling Between Parainfluenza Virus Acute And Persistently Infected Cells, Vonisha Kaigler

Graduate Thesis and Dissertation post-2024

RNA virus infections can transition from an initial acute infection to a prolonged or persistent infection, in which infected cells survive and continue to produce progeny virus. This presents a major clinical problem as persistently infected (PI) cells extend viral shedding, maintain inflammation, and provide potential sources for new viral variants. The RNA virus, Parainfluenza virus 5 (PIV5), with mutations in the P/V gene region (P/V mutant) is a strong inducer of antiviral responses. Interestingly, over time, there is an emergence of cells that survive as P/V mutant PI cells. Given that changes in innate immune signaling pathways can occur …

'How To Mother': Televisual Reimaginings Of Black Matriarchy In The Real Housewives Of Potomac, Kalijah Rahming

Graduate Thesis and Dissertation post-2024

Since the initial launch of The Real Housewives of Orange County in 2006, Bravo’s The Real Housewives franchise has soared to previously unimaginable heights. With 11 American installments, 30 international adaptations, and 25 current spin-offs, it is clear that even viewers who are relatively unfamiliar with The Real Housewives franchise may find themselves inadvertently swept up in their world due to the popularization of their catchphrases and gifs on social media platforms like Instagram, Twitter, and Facebook. In addition to carefully shaping popular culture, members of this franchise have even altered the conditions of the entertainment industry’s practices for the …

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

Graduate Thesis and Dissertation post-2024

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

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

Graduate Thesis and Dissertation post-2024

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

Predicting Past And Future Anthropogenic Global Harvest And Land Use, Michelle Bardales Cruz

Graduate Thesis and Dissertation post-2024

Anthropogenic appropriation of natural lands has long sustained human populations and activities. Human use of the environment has resulted in the degradation of green spaces and depletion of natural, particularly plant-based, resources. Human appropriation of net primary production (HANPP) is a globally available, spatially explicit measure of this human-driven extraction and diversion of plant biomass through harvesting (HANPP_harv) and land use change (HANPP_luc). Models for HANPP have been limited temporally (e.g., a year) or in terms of complexity (e.g., one predictor). In this study, I predict HANPP_harv and HANPP_luc from 1960 to 2010 at …

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

Graduate Thesis and Dissertation post-2024

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

Instructional And Motivational Factors Predicting Deep Learning Approaches In Pre-Clinical Medical Students, Kenneth L. Dearman

Graduate Thesis and Dissertation post-2024

Pre-clinical medical students predominantly employ surface learning approaches, focusing on memorization and exam preparation rather than developing a deep understanding of medical knowledge. This study employed a correlational design comparing two courses with different instructional approaches using expectancy-value theory to examine how instructional methods and motivational factors predict deep learning approaches among 148 pre-clinical medical students at a College of Medicine in the Southeastern United States. Initial results showed that the three separate constructs in task motivation (expectancy beliefs, values, and cost) did not mediate the relationship between active instructional methods and deep learning strategies. Instead, active learning was a …

Investigating The Role Of Selenium-Dependent Stickland Reactions In Clostridioides Difficile Bioenergetics, Dominika Dzurny

Graduate Thesis and Dissertation post-2024

Clostridioides difficile is an anaerobic, spore-forming bacterium and one of the leading causes of antibiotic- associated diarrhea. Colonization depends on the metabolism of certain nutrients in the host gut, namely amino acids and carbohydrates. C. difficile ferments amino acids as an integral part of its metabolism via Stickland reactions, utilizing the selenoproteins D-proline reductase (Prd) and glycine reductase (Grd) to generate energy. Specificity of selenocysteine incorporation reflects the intracellular levels of selenophosphate, the activated selenium donor synthesized by selenophosphate synthetase (SelD). SelD is coincidentally a selenoprotein itself, containing a UGA codon at position 17 (Sec-17). The functional and physiological importance …

Interactions Of Anti-Viral Ceria Nanoparticles With An Enveloped Rna Virus, Muhammad Hassan Mehmood Kalyar

Graduate Thesis and Dissertation post-2024

There is growing interest in developing durable and broad-spectrum antiviral nanomaterials for surface disinfection. Silver-modified ceria nanoparticles (AgCNPs) are regenerative materials capable of inactivating a wide range of viruses through generation of reactive oxygen species (ROS). We hypothesized that for enveloped RNA viruses, the lipid bilayer and viral spike glycoproteins are determinants of sensitivity to inactivation of infectivity by AgCNPs. This hypothesis was tested using Vesicular Stomatitis Virus (VSV), a model enveloped negative-sense single strand RNA virus containing a single spike glycoprotein G. Five rounds of serial passage of VSV in the presence of suboptimal AgCNP concentrations led to the …