Digital Commons Network^™

Thriving Through Turbulence: Exploring Team Resilience Through An Adversity-Centered Lens, Krisztina Szabo

Graduate Thesis and Dissertation post-2024

Although adversity has been a central component of team resilience definitions (Fisher et al., 2022; Raetze et al., 2022), there is little known about how different characteristics of adversity influence team functioning. Drawing from Event System Theory (Morgeson et al., 2015), the dissertation examined the connections between adverse event characteristics (i.e., event novelty, criticality, disruption, duration), team processes (i.e., planning, collective sensemaking, strategy formulation, coordination, monitoring and backup behaviors), and team outcomes (i.e., team performance) in the context of a repeated measures research study. The results indicated that novelty and criticality of adverse events were significantly and positively related to …

The Role Individual Differences And Environmental Factors In Automated Driving Performance, John M. Duany

Graduate Thesis and Dissertation post-2024

A series of experiments were conducted to investigate the effects of ADHD diagnosis, inclement weather, non-driving-related tasks (NDRT), automation failures, and traffic density on driving performance and takeover performance. This study also examined the relationship between dispositional factors (i.e., trust in automation, cognitive failures, and self-efficacy) and dynamic factors (i.e., mental workload, situation awareness, and situational trust) in relation to automated driving performance. A total of 156 participants were recruited for this study, including drivers with and without attention-deficit hyperactivity disorder (ADHD). Each participant completed four experimental drives and two baseline drives. Mental workload, heart rate variability (HRV), situational trust, …

Examining Educational Inequalities And Driving Science’S Next Generation Forward: Geobus Program Theory Evaluation, Elise M. Lorenzo

Graduate Thesis and Dissertation post-2024

This study presents a theory-driven evaluation of GeoBus, a mobile science lab designed to deliver hands-on, “fun learning experiences” via a solar powered, technology-rich learning environment brought directly to K-12 students in Central Florida Title 1 schools. While STEM education is widely recognized as essential for promoting equity, many schools, particularly in under-resourced communities, continue to face barriers to accessing meaningful and inclusive science learning opportunities. GeoBus was created in response to this need, offering students an informal learning environment with exposure to geospatial technologies and interactive science content.

Drawing on mixed-methods data, including content from the GeoBus website and …

Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad

Data Science and Data Mining

Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …

Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad

Data Science and Data Mining

Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …

Living In Fear: Be Empathetic (Life)-Tool Kit, Desiree A. Díaz, Heather Peralta, Samantha Stephenson, Danny Hernandez, Geraldine Luzincourt, Syretta Spears, Ann Marie Parker, Trysten Altamirano

Nursing Handouts, Tools, and Other Documents

Open source materials to immerse learners in rural and public health experiences are needed to ensure the new work force is equipped to care for a variety of people in differing circumstances. Public health remains a vital yet underemphasized component within healthcare education, specifically nursing education. This often limits opportunities for students to develop the skills necessary to become strong advocates for equity and systemic change. A

This project emerged from a commitment to provide experiential opportunities replicating the communities we serve. A Empathy Walk and LIFE Clinic (Díaz et al., 2025) was created as a strategy designed to engage …

Teachers' Feedback And Students' Emotional Wellbeing In Writing Courses, Amar Bahadur Sherma

Journal of English Learner Education

While feedback is a corrective business in every sphere of human life, most students do not have a positive perception of teachers’ feedback. Previous studies have emphasized the relationship between students’ writing achievements and the effectiveness of teachers’ feedback. However, no substantial research on how teachers’ feedback affects students’ emotional well-being has been undertaken. This article examines the relationship between students’ understanding of their teachers’ feedback on their writing assignments and emotional wellbeing. Data was collected from (N = 63) Nepali undergraduate students through Google Forms. The Forms consisted of structured and unstructured questions. According to the data, a mismatch …

Artificial Intelligence (Ai) Literacy: A Necessity In Modern Language Education, Samarnh Pang, Engheang Nol, Kimkong Heng

Journal of English Learner Education

This article aims to discuss the importance of artificial intelligence (AI) literacy in the context of an AI-driven world and argues that it is a necessity in modern language education. The article answers a few questions, focusing on why AI literacy matters for language students and educators, what AI competencies should be promoted, and how AI literacy can be effectively integrated into the curriculum and instruction. The article also brings to the fore key considerations for implementing AI literacy in language education. These considerations include providing support to students and teachers to navigate the complexity of AI use, offering AI …

The Science Of Reading, Writing, And Dual And English Language Learners, Vickie Johnston, Nika Verna

Journal of English Learner Education

This paper presents an evidence-based approach to meeting the needs of dual language and English Language Learners (ELL) that includes leveraging the skills and knowledge of the home language, oral language instruction, and the utilization of both effective writing instruction and multicultural children’s literature. This evidence-based approach includes insights gleaned from the science of reading (SOR) and research on writing development with ELLs and instruction needed to help their written communication skills. Practical classroom applications for using multicultural children’s literature include integrating the Universal Design for Learning (UDL) framework to ensure the literature chosen is necessary for some and beneficial …

Transforming K-12 Classrooms: Ten Essential Strategies For Cultural Responsiveness, Sandra Johnson, Stephanie Johnson, Regina Reber

Journal of English Learner Education

Across the United States, in K-12 classrooms, diverse student populations continue to increase, challenging educators to meet student cultural, linguistic, and academic needs. The study examined the best practices related to culturally responsive teaching (CRT) strategies to better meet all students' needs. A qualitative approach was used to collect data from licensed K-12 educators in New Mexico and Colorado. The findings revealed three essential themes: culturally responsive pedagogy, the positive impact of CRT, and the creation of physical spaces to support inclusivity. The findings revealed the significance of building strong relational capacity, encouraging collaboration, supporting multilingualism, and creating effective physical …

Censorship Is Still A Drag: Lgbtq Materials And Programming Under Siege In Libraries, Jason D. Phillips, Jordan Ruud, Kestrel Ward, Amanda Melilli

Faculty Scholarship and Creative Works

The presentation Censorship Is Still a Drag explores the escalating challenges facing libraries as they strive to uphold intellectual freedom amid rising censorship efforts targeting LGBTQ+ materials and programming. Drawing from the book Censorship Is a Drag: LGBTQ Materials and Programming Under Siege in Libraries, the presenters—Jason D. Phillips, Jordan Ruud, Kestrel Ward, and Amanda Melilli—offer a comprehensive overview of the legal, political, and institutional pressures threatening inclusive library practices. Through case studies and firsthand accounts, the presentation examines the impact of both external censorship and internal resistance within libraries, and introduces the concept of “queer battle fatigue” to …

Criticism By Other Means, Ericson Charlie

James Joyce Literary Supplement

No abstract provided.

Integrating Background Music Into Instructional Videos To Support Learner Engagement And Motivation, Efren De La Mora Velasco

Teaching Online Pedagogical Repository

This strategy explores how integrating background music (BM) into instructional videos enhances learner engagement and motivation by aligning musical elements with multimedia learning principles. The implementation involved designing seven videos with expert narration, purposeful music composition, and sound effects to guide attention and support pacing without causing cognitive overload. Results showed increased learner attentiveness and motivation, with positive outcomes across all dimensions of Keller’s ARCS model. Practical recommendations for integrating music into online courses are included.

Using Generative Ai To Enrich Instructional Videos With Embedded Quizzes, Efren De La Mora Velasco, Shaurya Agarwal

Teaching Online Pedagogical Repository

This entry describes a strategy to enhance student engagement in asynchronous online courses by embedding AI-generated quizzes into instructional videos. Using ChatGPT and video transcripts, the instructor created targeted multiple-choice questions that aligned with key video topics and improved interactivity. Results from the CGN5341 course showed increased video view duration, higher engagement, and positive student feedback on the usefulness of short, segmented videos with embedded quizzes.

Incorporate Peer Review Feedback To Enhance Personal Reflection, Daniel W. Eadens

Teaching Online Pedagogical Repository

Peer review feedback is a utilitarian strategy and great practice in any course. Providing peer reviews has significant advantages including having to make judgements about peer submissions requiring a higher taxonomy of knowledge about the material, resulting in increased understanding. Additionally, this teaches students mistake avoidance, improving skills as well as increasing motivation. This entry provides details about an assignment which asks students to personally reflect and then offer supportive feedback to peers regarding their leadership development.

Injury Prevention Research In Athletes, Maura Tangney

UN SDG Open Pedagogy Faculty Fellowship: Renewable Assignments

No abstract provided.

Feeling Imposter Syndrome And Burnout? Time To Burn It Down And Get Back To Basics, Jordan Ruud, Jason D. Phillips

Faculty Scholarship and Creative Works

Many librarians’ self-doubt is arguably at a high point, leading to a distorted self-image and low morale. Beginning with the foundational problems of impostor syndrome and burnout, this chapter proposes a return to basics as a strategy for overcoming these problems. Librarians and other information professionals besieged by uncertainty around their abilities and status can find a way back to professional fulfillment through “burning it down and starting over” – in essence, demolishing one’s received understanding of one’s role by taking conscious stock of one’s duties, setting reasonable personal goals, recalibrating expectations of oneself, and reconstituting one’s professional identity on …

Exploring Generative Artificial Intelligence (Ai) Applications In Fashion: Ethical Concerns In Human-Like Technology, Melissa Kathryn Gonzalez

Faculty Scholarship and Creative Works

No abstract provided.

At What Cost? The Personal Stakes Of Intellectual Freedom, Jason D. Phillips, Jordan Ruud

Faculty Scholarship and Creative Works

This chapter explores the emotional, professional, and political costs faced by librarians advocating for LGBTQ+ inclusion and intellectual freedom within libraries. Through personal narrative and critical reflection, the authors introduce the concept of "queer battle fatigue"—a framework for understanding the cumulative psychological toll on LGBTQ+ individuals who are consistently placed in advocacy roles within predominantly cisheteronormative institutions. A case study of a drag storytime event at a university library illustrates the social backlash, institutional pressures, and moral injury experienced by organizers, demonstrating how well-intentioned programming can become flashpoints for political controversy. The authors highlight the intensifying hostility toward LGBTQ+ representation …

Enemies Within The Gates: Contending With Internal Censorship Challenges, Jason D. Phillips

Faculty Scholarship and Creative Works

This chapter explores the rarely discussed but impactful issue of internal censorship within academic libraries, focusing on challenges to LGBTQ+ materials. Drawing on personal experiences at a regional public university in the American South, the author recounts multiple instances where library staff and leadership acted in ways that undermined the inclusion of LGBTQ+ resources. These incidents ranged from quietly removing or hiding books to resisting the addition of LGBTQ+ periodicals and graphic novels, and even denying purchase requests without explanation. The chapter underscores how fear of controversy, personal bias, and institutional conservatism can result in "soft censorship," despite the profession's …

The Role Of Switching Costs In The Triangle Of Complaint Behavior, Satisfaction, And Switching Behavior In The Hotel Context, Talal Abuhulaibah, Lisa Slevitch

Journal of Hospitality Financial Management

The influence of switching costs could play an important role that prevents dissatisfied cus- tomers from switching to another service provider, particularly in the highly competitive hotel market. Drawing on Hirschman’s model of customers’ reactions to service failures (1970), this study investigated the moderating effect of switching costs on the inter-relationships between complaint behavior, customer satisfaction, and switching behavior for hotel guests. A self-administered questionnaire was distributed via Amazon Mechanical Turk and yielded a total of 1,135 responses from travelers who stayed in US hotels and experienced service failures. The results of this study revealed that switching costs did influence …

Advisor And Counselor Perceptions Within A Southeastern State’S Private Institutions: A Qualitative Exploratory Case Study, Thomas A. Range

Graduate Thesis and Dissertation post-2024

U.S. Black American college students identifying as first generation and experiencing lower socioeconomic status have lagged behind White college students from more affluent families in retention, graduation, and postgraduation metrics. These differences are particularly acute for students attending private, predominantly White institutions. However, there is a gap in knowledge about how student services personnel—whose roles directly impact students’ perseverance toward graduation and their postgraduation plans—are perceived. Many external barriers (e.g., inadequate student support; racial discrimination; counselor, advisor, administrator, and college leadership biases) have continued to hinder success of Black American collegians in private institutions. To focus this study, two guiding …

Qualities Of Instructors Adult Second Language Learners Identify As Being Most Effective In Supporting Their Language Skills In Intensive English Programs, Nick Myrca Gauthier

Graduate Thesis and Dissertation post-2024

This qualitative research discusses the importance of the pedagogical and social qualities of instructors in the academic achievement of adult second language (L2) learners enrolled in intensive English programs (IEP). Its primary goal is to comprehend the role of social traits such as empathy, patience, approachability, supportiveness, and respectfulness and of pedagogical traits such as building trust, motivation, and minimizing language learning anxiety when instructing adult L2 learners. Within the framework of this study, a semistructured interview format was used to gather the lived experiences of seven participants who were either enrolled or had been enrolled in a university’s intensive …

Iactor: Integrating Flow Theory And Habit Principles To Combat Decision Fatigue In Audition Management, Colby L. Bell

Graduate Thesis and Dissertation post-2024

For many actors, the audition process can feel like a never-ending series of decisions—what to prepare, what to wear, what to bring, and how to keep track of it all. Each choice, though seemingly small, accumulates into a form of cognitive overload that can lead to burnout and disengagement. My fascination lies not only with how actors navigate this process but how we might reframe it. This thesis explores the question: How can I design a digital space that reduces decision fatigue and restores agency to actors preparing for auditions? Drawing from Mihaly Csikszentmihalyi’s Flow Theory, James Clear’s Atomic Habits …

A Deep Learning Framework For Last-Mile Delivery Enhancement Using Social Media, Valeria Laynes Fiascunari

Graduate Thesis and Dissertation post-2024

Over the past decade, people have been spending more time online. Almost anything can be done from a laptop or cellphone. This is one of the reasons why e-commerce has been in a constant boom, as it is easier to buy something online and have it delivered to the front door than to go to the store. As more people engage in this activity, e-commerce platforms' challenges are more complicated and need to be addressed faster. However, these challenges escape the company's scope when external factors influence the objective of optimized deliveries, for example, traffic issues or bad weather during …

Examining Information Flows Within Transformer Models Using Transfer Entropy, Clayton Barham

Graduate Thesis and Dissertation post-2024

The rapid growth of artificial intelligence, in terms of both power and prevalence, motivates the need for new ways to study explainability in deep neural networks. This is especially true for transformer architectures and large language models, which are the driving force behind the current surge in artificial intelligence. The complexity of transformer architecture foils many pre-existing methods for studying explainability in deep neural networks. To address this gap in knowledge, this dissertation proposes a new method of studying explainability in transformer architectures that leverages insights from neuroscience, employing transfer entropy to map information flows between components of the transformer …

Towards Robust Deep Learning: Label Noise Modeling, Algorithms, And Applications, Diego Fernando Linares Gonzalez

Graduate Thesis and Dissertation post-2024

This thesis investigates robust and hybrid deep learning with emphasis on improving accuracy and generalization in challenging real-world settings, including learning under noisy supervision and applications to complex scientific data.

In the first part, we address instance-dependent label noise by using a tensor factorization–based methodology that models the noise transition process as an instance-dependent decomposition. We also utilize low-rank block-term structures to capture class-specific and instance-specific correlations. Moreover, we include a robust loss function and rank regularization to achieve stable optimization during model training. We validated this with experiments on benchmark datasets, like Fashion-MNIST, CIFAR-10, and CIFAR-10N, demonstrating higher accuracy …

Manipulated Workplace Hazing And Attributions, Cole B. Treadaway

Graduate Thesis and Dissertation post-2024

Workplace hazing has scarcely been researched, and when it has, the results have not always aligned. This study seeks to remedy the discrepant findings by examining the importance of hazing severity, as prior operationalizations of hazing severity utilizing the most frequently used and validated measure of workplace hazing do not adequately measure severity, as well as by introducing attribution theory to offer a potential explanation as to why some people respond favorably and others unfavorably to being hazed. This study utilized an experimental 2x2 factorial design with an added control group to examine whether the severity of the hazing and …

Becoming Black In A Divided Diaspora: Identity, Human Security, And The Intra-Group Dynamics Of African Americans And African Immigrants, Pleasant O. Ogedengbe

Graduate Thesis and Dissertation post-2024

This dissertation examines the formation of a shared Black identity among Native Black/African Americans and African immigrants in the United States through an expanded intersectional framework that integrates Social Identity Theory (SIT), Intergroup Contact Theory, and Secondary Marginalization Theory, all under the broader lens of human security. Human security is broadly defined as the protection of individuals from critical threats to their dignity, survival, and livelihood. It is deeply implicated in the experiences of Black communities confronting systemic racism and social exclusion. This study conceptualizes shared identity as a socio-psychological construct and a protective mechanism that enhances group-level resilience and …

Enhancing Social Participation: The Role Of Communication Accommodations On Young Children With Ccn, Carli C. Brent

Graduate Thesis and Dissertation post-2024

BACKGROUND: Children with complex communication needs (CCN) have difficulty using and/or understanding speech to communicate, thus facing barriers for successful social participation in family-leisure activities due to limited access to communication supports in these environments. Social participation includes an individual’s active involvement in activities that consist of a social element to produce opportunities for meaningful interactions with others. Children with CCN benefit from communication supports, like Augmentative and Alternative Communication (AAC) devices. AAC supports children with CCN to effectively communicate with themselves, others, and their environment. While communication supports have been recently implemented into private and public spaces, the …