Digital Commons Network^™

Integrating Computational Thinking Into K–12 Classroom Instruction, Jorge Valenzuela

STEMPS Theses & Dissertations

In 2016, legislation mandated the integration of computer science (CS) and computational thinking (CT) skills across K–12 instruction in the Commonwealth of Virginia. CT integration is also a focus in many schools throughout the United States. Educators must understand CT/CS core concepts and practices, looking for practical ways to integrate CT across the K–12 curricula. To address this, the current study was conducted. The study compares the effects of the Jigsaw technique and teacher-directed instruction on the participants by surveying their self-efficacy for integrating CT in their teaching. This study uses a pre- and post-test design, and data collection took …

Identifying Contributing Factors Of Black American Females’ Long-Term Persistence In Stem Education: A Qualitative Phenomenological Study, Chandra T. Oaks-Garcia

STEMPS Theses & Dissertations

The purpose of this study was to gain insights into contributing factors that have shaped the experiences of eight Black American females who pursued STEM education as they persisted from the secondary education setting to their collegiate setting in a STEM major. This qualitative phenomenological study collected data through in-depth semi-structured interviews with Black American female juniors and seniors studying at four different four-year institutions, all pursuing degrees in STEM-related fields. Demographic surveys and memo writing were incorporated to enhance the data analysis. To explore the lived experiences of Black American females in STEM education and identify factors that contributed …

Effects Of High Temperature Compaction On 3d Printed Carbon Fiber Reinforced Polymer Composites, John D. Barber

Mechanical & Aerospace Engineering Theses & Dissertations

The aim of this dissertation was to study the effects of hot temperature compaction (HTC) upon the polymorphism and the mechanical behavior of an additively manufactured (AM), carbon fiber reinforced polyamide (PA6). Different pressure and temperature levels during HTC were tested to determine the overall effect upon the mechanical behavior and the material crystalline composition. Treated, carbon fiber reinforced PA6 samples were analyzed using differential scanning calorimetry, x-ray diffraction, thermogravimetric analysis, scanning electron microscopy, double cantilever beam testing and three-point bending testing. When considered with respect to as-printed samples, an HTC temperature of 190°C combined with 80 psi pressure resulted …

The Relationship Between Tutoring And Student Success And Retention Among Men Of Color Enrolled In Community College Stem Gateway Courses In Upstate New York, Elizabeth Mary Eloise Richards

Educational Leadership & Workforce Development Theses & Dissertations

Retention and success rates among men of color in STEM programs remain a critical concern in higher education. Although tutoring is widely recognized as an academic support strategy, limited research has examined its relationship with students from this demographic group outside states with large Black and Hispanic student populations, such as Texas and California. The current study expands existing research by analyzing the relationship between tutoring participation, student success, and retention among male students of color enrolled in STEM courses at community colleges in Upstate New York. A quantitative research design was employed, using logistic regression modeling to analyze data …

Development Of Flexible Lactate-Specific Molecularly Imprinted Polymers Based On Laser-Induced Graphene Electrochemical Biosensors For Disease Diagnosis, Christopher Animashaun

Biomedical Engineering Theses & Dissertations

Lactate is a critical biomarker linked to conditions such as sepsis, ischemia, cancer, and heart failure. Current lactate detection methods remain invasive, costly, and unsuitable for real-time, continuous monitoring. This study presents the development of a flexible, non-enzymatic electrochemical biosensor based on laser-induced graphene (LIG) electrodes modified with gold nanoparticles (AuNPs) and molecularly imprinted polymers (MIPs) for highly selective and sensitive lactate measurement. The integration of AuNPs enhanced surface conductivity and provided nanoscale heterogeneity, facilitating superior signal amplification. The optimized LIG/AuNP/MIP sensor achieved an extensive dynamic detection range from 0.1 μM to 1000 μM, with an outstanding detection limit of …

Jaded Poison, Taylore Huxford

English Theses & Dissertations

Jaded Poison is, at its heart, a modern fantasy love story novel that starts when two different worlds collide. It is a novel in which Evelyn Beaumont receives a bag from her best friend, Jordan. From that point, she soon discovers that the bag teleports things, which starts with her bank statements, to another world—a high fantasy world. The receiver is Valerie Aeris, the Princess of the Valaros kingdom. The two women begin exchanging letters and find solace in each other; Evelyn feels lonely and that her life has no direction, and Valerie feels suffocated in the high society culture …

Biogenic Modification Of Tidally Modified Substrates From The Micro- To Macroscopic Scale, Rogers Clark Caldwell Buntin Ii

OES Theses and Dissertations

Digital outcrop models generated by high-resolution photogrammetric imagery permit investigations into organism-substrate interactions at the centimeter to sub-millimeter scale. This dissertation uses this three-dimensional technology to study two sedimentary successions— the Archaean Dresser Formation and Cretaceous Dakota Sandstone— by capturing images via unmanned aircraft systems and single lens reflex cameras. The ~3.48 Ga Dresser Formation provides evidence for some of the earliest life on Earth in the form of stromatolites and microbially induced sedimentary structures. Aerial imagery of the 3.5 km2 Buick Geoheritage reserve capture the site’s geologic structures and close-range imagery documents stromatolites and several microbially induced sedimentary structures …

Wind Tunnel Automation For Propeller Testing, David Ricardo Lara

Mechanical & Aerospace Engineering Theses & Dissertations

An automated propeller test capability for the ODU Low-Speed Wind Tunnel Facility is demonstrated; implementing automation improved both ease of testing and quality of results. An experiment was performed with and without automation to compare results. Prior to this effort, propeller RPM and airstream velocity were manually controlled, leading to time consuming experiments. The setpoint for RPM had to be adjusted at each run to compensate for changes in airstream velocity.

LabVIEW, a graphical programming software, was used to develop the controllers and automation algorithm. A Proportional Integral Derivative (PID) control approach was developed to simultaneously control airstream velocity and …

Low Dissolved Oxygen Operation Enhances Biological Phosphorus Removal In Wastewater Treatment, Haley Morgan

Civil & Environmental Engineering Theses & Dissertations

Biological phosphorus (bio-P) removal occurs when bacteria are exposed to anaerobic/aerobic conditions that stimulate polyphosphate-accumulating organisms (PAOs) to uptake phosphorus. In most treatment plants, dissolved oxygen (DO) concentrations in the aeration tanks are commonly at or above 2.0 mg O₂/L, which is often referred to as the most optimal aeration condition for bio-P. If bio-P can happen efficiently at lower DO (< 0.3 mg O₂/L), then the energy demand of aeration can be decreased appreciably. This research was conducted in a biological nutrient removal (BNR) pilot plant to assess the performance of bio-P at progressively lower DO operation. This …

A Sysml V2 Implementation Of A Traceability And Verification Metamodel For “-Ilities”, Pacifique Munezero

Engineering Management & Systems Engineering Theses & Dissertations

Multidisciplinary knowledge and exchange of information are two of the most important aspects of complex system design within the Model-Based Systems Engineering (MBSE) domain. The next generation of systems modeling language, SysML v2, is being developed to improve the precision, expressiveness, interoperability, consistency, integration of the language concepts relative to SysML v1, and the implementation and maturation of MBSE approaches. This research focuses on using SysML v2 to model structured notations for -ilities, referred to as non-functional requirements (NFRs), to address how they can be treated with the same rigor as functional requirements and mapped directly and explicitly from the …

Enhancing Iot Security Using Lightweight Machine Learning Algorithms: A Comprehensive Approach Using Ensemble Learning, Feature Selection, And Federated Transfer Learning, Khawlah Harahsheh

Electrical & Computer Engineering Theses & Dissertations

The rapid expansion of the Internet of Things (IoT) has introduced significant security vulnerabilities due to the resource-constrained nature of IoT devices and their exposure to cyber threats. Traditional security solutions are often infeasible due to the high computational and storage demands they impose. This dissertation presents a lightweight, AI-driven security framework that enhances IoT network resilience by integrating feature selection, ensemble learning, and federated transfer learning while maintaining data privacy and minimizing computational overhead.

The proposed framework consists of three primary components: Feature Selection for Intrusion Detection, which optimizes performance by reducing redundant data and improving detection accuracy with …

Leveraging Artificial Intelligence To Strengthen Human Resilience Against Phishing Attacks, Muhammad Mavins

Cybersecurity Undergraduate Research Showcase

Phishing attacks are a major cybersecurity threat, tricking people with fake emails, scam websites, and social engineering tactics. As these attacks become more advanced, traditional security measures are no longer enough to stop them. This paper looks at how Artificial Intelligence (AI) can help detect and prevent phishing while also making people more aware of these threats. Using machine learning (ML), natural language processing (NLP), and behavioral analysis, AI can examine email content, sender behavior, and metadata to spot phishing attempts. AI-powered cybersecurity training can also teach people to recognize and respond to phishing by using personalized phishing tests and …

Embedding And Enabling Multi-Domain Combat Capabilities With Partners And Allies: A Joint Concept Proposal, Nathan Colvin, Aljoša Kaučevič, Randall Mercer

Graduate Research Conference (GSIS)

Future military operations will rely upon a coalition partnership’s ability to conduct regional and global operations across all domains. Currently the US has the most robust multi-domain skill sets of any existing military force, but the US cannot be solely responsible for operations around the globe. To do so would be geopolitically and economically infeasible. An answer may be to build cohesive coalition force units capable of combining localized capabilities and specialized US global competencies. The ability to respond to any type of threat through the synergy of coalition strengths will act to deter regional threats throughout the cooperation, competition, …

Estimating Depth Of Roadway Flooding Using Data From Lidar And Surveillance Cameras, Mahta Zamanizadeh, Mecit Cetin

Graduate Student Government Association Research Conference

In this study, we fuse data from a 3D LIDAR mounted on a vehicle and images from an external traffic surveillance camera to create a 3D representation of a segment of a roadway that experiences frequent flooding. The point cloud data from the LiDAR in this study is collected from a road segment of W 49^th Street in Norfolk, near the ODU campus. The traffic surveillance camera is mounted on a public parking building in the same area. The LiDAR collects continuous point cloud frames as the vehicle traverses the section. Multiple LIDAR frames related to the respective segment …

Rapid Prediction Of Coastal Flooding With Deep Neural Networks, Ali Shahabi, Navid Tahvildari

Graduate Student Government Association Research Conference

With the increasing impact of climate change and relative sea level rise, low-lying coastal communities face growing risks from extreme storm tides and recurrent nuisance flooding. Thus, timely and reliable predictions of coastal water levels are critical to resilience in vulnerable coastal areas. Over the past decade, enormous efforts have been made to utilize machine learning (ML) based data-driven models for the emulation and prediction of storm tides. However, flood advisory systems still rely on running computationally demanding real-time hydrodynamic models. because developing highly reliable ML-based models suitable for real-time forecasting and capable of capturing any surge levels is challenging. …

Zombie-Auras: Genai And Hybrid Text Production, Joshua Nieubuurt

English Faculty Publications

This paper explores the iterative evolutions of textual production and their impact on the “aura” of texts, as conceptualized by Walter Benjamin. The study identifies three key phases of textual production: the natural, the mechanized, and the digitized, each progressively displacing the “cult value” of texts. This cult value is lost through increased ease of creation, reproduction, dissemination, and dislocation of creators and audiences in time and space. The advent of Generative AI (GenAI) marks the latest evolution, transforming the “aura” into a memetic “zombie” form—familiar yet opaque, evoking both the sublime and fear. By examining Benjamin’s notion of “aura” …

The Elizabeth River Marine Debris Stakeholder Roundtable, Wie Yusuf, Joseph Barnes, Robin Dunbar, Jennifer L. Whytlaw, Tom Allen

School of Public Service Faculty Publications

Convened by Virginia Sea Grant, Old Dominion University, Clean Virginia Waterways (CVW), Virginia Coastal Zone Management Program (CZM), and the Virgina Marine Resources Commission. Supported by Sea Grant Marine Debris Community Action Coalition funding (for project titled From Learning to Willing to Doing: A Collaborative Approach to implementing the Virginia Marine Debris Reduction Plan.

Electrochemical Routes For Extraction Of Iron From Acid-Activated Red Mud: A Carbon-Free Iron-Making Process, Nandan Nag Mr., Sandeep Kumar Dr

Graduate Student Government Association Research Conference

Red mud is an industrial waste material, which is generated by alumina refineries. For every ton of aluminum, 2-2.5 tons of red mud is produced. Presently, it is being utilized as a building material, such as dams, bridges, roads, and many more. However, due to its toxicity, this cannot be considered a portable solution. Red mud contains various compounds of alumina Al, Si, Na, Fe, and Ti as well as certain rare earth elements. This is polluting both the surface as well as the groundwater bodies. This is because of the leaching of red mud by the water bodies or …

A Mixed-Method Analysis Of The News Media Framing Of Gender Non-Conforming Victims Of Homicide In The U.S. From 2012-2022., Susana Avalos, Hayley Jackey, Iyan Wickel

Graduate Student Government Association Research Conference

Recent analyses of transgender homicide victims find that the news media often uses improper terminology, delegitimizes, and victim blames them. These analyses, while insightful, are limited as they have largely analyzed cases involving trans women and trans feminine individuals. The present study employs a mixed method approach to analyze news media articles (N=88) published in U.S. online news media outlets about 17 gender non-conforming victims killed between 2012 and 2022. We found that most articles did not delegitimize or victim-blame. However, we find 1) victim blaming occurred when reporting on cases of officer-involved shootings, 2) certain victims receive more coverage …

Mounir Laroussi, Mounir Laroussi

Virginia Poets Database: A Literary and Educational Resource

No abstract provided.

Successfully Navigating The Disruption Ai Will Bring To Survey Research, David M. Rothschild, Trent D. Buskirk, Stephanie Eckman, D. Sunshine Hillygus, Frauke Kreuter, David Lazer

Information Technology & Decision Sciences Faculty Publications

Surveys are a core methodological tool in government, industry, and academia, providing essential data for theory development and evidence-based decision-making. As artificial intelligence continues its rapid advancement, it stands to fundamentally transform the entire survey lifecycle - from design and administration to analytics and reporting. Previous transitions to new technologies, such as telephone, internet, and non-probability surveys, led to divisions within the survey research community with real consequences for both the trajectory of research and trust in the industry. We believe the survey community should take proactive steps now to avoid similar challenges with AI integration. Specifically, our paper examines …

Introduction: Beyond Hollow Materialism, Jasper Waugh-Quasebarth, Zada Komara

Art Faculty Publications

This introduction to the special issue, “Transformative Approaches to Materiality in Appalachian Studies,” provides theoretical background and examples that demonstrate applications of new material culture and materiality theory to key Appalachian studies themes. It offers new directions for the study of material entanglement in social relationships by reviewing the history of material culture studies in the Appalachian context, fundamental theoretical propositions emerging from the “material turn” in social theory, and examples drawn from ethnographic and archaeological research into the patterns of use of material culture in the timber country of West Virginia and coalfields of eastern Kentucky. Finally, this introduction …

Maritime Industry Cybersecurity Threats In 2025: Advanced Persistent Threats (Apts), Hacktivism And Vulnerabilities, Minodora Badea, Olga Bucovetchi, Adrian V. Gheorghe, Mihaela Hnatiuc, Gabriel Raicu

Engineering Management & Systems Engineering Faculty Publications

Background: The maritime industry, vital for global trade, faces escalating cyber threats in 2025. Critical port infrastructures are increasingly vulnerable due to rapid digitalization and the integration of IT and operational technology (OT) systems. Methods: Using 112 incidents from the Maritime Cyber Attack Database (MCAD, 2020-2025), we developed a novel quantitative risk assessment model based on a Threat-Vulnerability-Impact (T-V-I) framework, calibrated with MITRE ATT&CK techniques and validated against historical incidents. Results: Our analysis reveals a 150% rise in incidents, with OT compromise identified as the paramount threat (98/100 risk score). Ports in Poland and Taiwan face the …

Quantifying Multidimensional Effects Of Physicochemical Parameters On Pfas Adsorption Using A Hybrid Response Surface Methodology-Machine Learning Approach, Harsh V. Patel, Jazmin Green, John Park, Stephanie Luster-Teasley Pass, Renzun Zhao

Engineering Management & Systems Engineering Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) contamination has posed a significant environmental and public health challenge due to their ubiquitous nature. Adsorption has emerged as a promising remediation technique, yet optimizing adsorption efficiency remains complex due to the diverse physicochemical properties of PFAS and the wide range of adsorbent materials. Traditional modeling approaches, such as response surface methodology (RSM), struggled to capture nonlinear interactions, while standalone machine learning (ML) models required extensive datasets. This study addressed these limitations by developing hybrid RSM-ML models to improve the prediction and optimization of PFAS adsorption. A comprehensive dataset was constructed using experimental adsorption data, …

The Association Between The Multidimensional Evaluation Of Attitudes Toward Security Recommendations And The Intention Of Following Those Recommendations, Miguel A. Toro-Jarrin, Pilar Pazos, Miguel A. Padilla

Engineering Management & Systems Engineering Faculty Publications

This study focused on the attitudes toward security recommendations as determinants of compliance with these recommendations in the workplace. It aimed to determine whether attitudes toward an overall concept (security recommendations in organizations) are associated with Information Security (IS) actions. We also examined the relationship between various dimensions of attitudes toward security recommendations and IS actions that follow these recommendations. We conducted a national survey of American workers. Six hundred and eighty-two responses were retained. We also collected demographic data to explore their moderating role in the relation between predictors and IS action-intention. The survey included four workplace scenarios and …

Liberatory Motherhood: A Framework & Praxis For Caring And Scholaring Otherwise In The Neoliberal Academy, Bhavika Sicka

Educational Leadership & Workforce Development Faculty Publications

This article contributes to the emergent literature on motherhood in neoliberal higher education by proposing liberatory motherhood as a theoretical framework and praxis to deconstruct and reconstruct motherhood in the neoliberal academy. The author, an early-career immigrant woman scholar of color, uses feminist autoethnography to critically examine the disempowering, disembodying, and departicularizing effects of neoliberal subjectivation on motheracademics, foregrounding her lived experiences of caregiving in her analysis. She approaches academic motherhood through a prismatic lens of a pluralistic feminist rhetorical analysis that emphasizes interrelationality, tracing her experiences of caring and producing otherwise as a way to signal opportunities to reembody …

A Pathway To Completion: Student Veterans Pursuing Engineering Degrees, Kim E. Bullington, Cynthia L. Tomovic, Anthony W. Dean, Vukica Jovanovic

Educational Leadership & Workforce Development Faculty Publications

This 5‐year research project was based on an NSF S‐STEM research grant (1742118) focused on student veteran education and workforce preparation. We addressed STEM workforce and defence community needs by providing targeted scholarships and support for veteran students pursuing engineering degrees. Our aim was to enhance the workforce by improving access and success rates through financial and institutional support, while developing evidence‐based practices for recruitment, retention and graduation of student veterans. Through targeted interventions, we examined obstacles student veterans face in education and in engineering programs and increased their sense of camaraderie, career awareness, engineering identity, professional development, financial security …

Self-Efficacy And Stem Education: A Study Of Family And Consumer Science Teachers In Pennsylvania, Charlene Smith, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

Science, technology, engineering, and mathematics (STEM) education has become widely promoted. Family and Consumer Sciences (FCS) uses science to improve home life while reinforcing technology, engineering, and mathematics principles. However, FCS is not usually recognized as a STEM subject. The purpose of this study was to determine what factors may affect FCS teachers’ level of self-efficacy in teaching STEM to provide supports that improve teaching practices. This quantitative study surveyed secondary FCS teachers in Pennsylvania using the T‐STEM Survey for Elementary Teachers. Results were analyzed using descriptive statistics and simple linear regression analysis was performed to determine the predictive …

Employers' Perceived Value Of High School Industry Recognized Credentials, Teri Harris, Mickey Kosloski, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

The purpose of this study was to determine whether industry-recognized credentials (IRCs) earned in secondary school led to quality employment and which IRCs should be integrated into career and technical education (CTE) high school courses. Using survey data from business leaders across the 14 nationally recognized Career Clusters (Advance CTE, 2024a), credentials were ranked by importance within five program areas (n = 257). Pareto analysis revealed 80% of respondents rated health sciences, family and consumer sciences, and agricultural sciences credentials highest, while business/marketing and skilled/technical sciences/STEM credentials did not rank in the top 20%. This research provides empirical evidence for …

Swinging Lever Mechanism Of Myosin Directly Shown By Time-Resolved Cryo-Em, David P. Klebl, Sean N. Mcmillan, Cristina Risi, Eva Forgacs, Betty Virok, Jennifer L. Atherton, Sarah A. Harris, Michele Stofella, Donald A. Winkelmann, Frank Sobott, Vitold E. Galkin, Peter J. Knight, Stephen P. Muench, Charlotte A. Scarfi, Howard D. White

Department of Biomedical and Translational Sciences Faculty Publications

Myosins produce force and movement in cells through interactions with F-actin¹. Generation of movement is thought to arise through actin-catalysed conversion of myosin from an ATP-generated primed (pre-powerstroke) state to a post-powerstroke state, accompanied by myosin lever swing²,³. However, the initial, primed actomyosin state has never been observed, and the mechanism by which actin catalyses myosin ATPase activity is unclear. Here, to address these issues, we performed time-resolved cryogenic electron microscopy (cryo-EM)⁴ of a myosin-5 mutant having slow hydrolysis product release⁵,⁶. Primed actomyosin was predominantly captured 10 ms after …