Digital Commons Network^™

2026 Document For Faculty And Staff Scholarship Spring Soirée, Kara Schleck, Diana Symons

Celebrating Scholarship and Creativity Day (2018-)

No abstract provided.

Review Of Bones: Structure And Mechanics, Alexander Curry

Nebraska Anthropologist

Review of Bones: Structure and Mechanics (2002) by John D. Currey.

Unsettling The West: Migration Routes And Homesteading Through Oral Histories, Sidney Wickham

Nebraska Anthropologist

Westward expansion in the nineteenth-century United States has long been framed through settler-centered historical narratives that emphasize progress and national development. This article employs oral history as an ethnographic method to examine migration routes and homesteading experiences in Nebraska and the broader Midwest, foregrounding how memory, storytelling, and lived experience function as cultural practices. Drawing on interviews with descendants of homesteaders, community members, and museum professionals, alongside diaries, newspapers, and archival materials, this study analyzes how migration was remembered, narrated, and transmitted across generations. Rather than treating overland trails and homesteads as singular pathways of movement, this research situates them …

Exploring The Synergy Between Very Large Transformer And Lstm Models For Effective Medical Captioning From Videos To Text: The Impact Of Captioning In Healthcare, R. V. Aswiga, Moin Ahmed Zahir

Data Science Faculty Publications

In today’s rapidly evolving digital landscape, the demand for accurate and contextually relevant subtitles for image and video content, particularly in the medical domain, is increasingly critical. Despite the proliferation of visual data across various platforms, existing captioning systems often struggle due to variations in visual settings, complex temporal relationships, and nuanced semantics. Additionally, challenges such as limited datasets, privacy issues, and specialized annotation requirements make medical image captioning particularly difficult. To tackle these challenges, we investigate cutting-edge deep learning methodologies, specifically Transfer Learning and Transformer models, through a comparative analysis. Specifically, we focus on Transfer Learning through the MedVisionCapturer …

Blue Spring (2001):, George Dibble

BYU Asian Studies Student Journal

“Congratulations on your graduation,” broadcasts on the upper secondary school’s PA system—the first sound in the film Blue Spring (2001), directed by Toshiaki Toyoda—yet none of the students we follow for the next 83 minutes have anything to graduate for. Like a chick denied egg-shell breakage, stuck in its hard world, the film-focused boys are told to live. But where, and how? Blue Spring exists between the graffiti laden walls of high school where classes are secondary to student politics and fights are as common as words.

Annoyances lead to murders. Money is extorted. Teachers are harassed. The first image …

Proceedings Of The Eleventh Annual Indiana Stem Education Conference: Stem Journeys, William S. Walker Iii, S. Selcen Guzey

Indiana STEM Education Conference

The Proceedings of the Eleventh Annual Indiana STEM Education Conference are edited by the Center for Advancing the Teaching and Learning of STEM (CATALYST, https://www.education.purdue.edu/catalyst/) at Purdue University. The theme for the 2026 conference is STEM Journeys, celebrating the multiple pathways and experiences that advance student learning in STEM education.

Renewable Energy Innovation: A Mathematics-Driven Integrated Stem Approach For K-12 Classrooms, Humphrey Chinenye Ochulor, Dayat Hidayat

Indiana STEM Education Conference

This research brief presents Renewable Energy Innovation (REI) as a mathematics-driven Integrated STEM (iSTEM) approach for engaging upper elementary and middle school students to design, analyze, test, and refine solar cars and wind turbines through mathematical modeling (MM) and problem solving (PS). Research suggests that renewable energy activities support students’ abilities to design systems, quantify variables, construct multiple representations, and refine mathematical models to clarify relationships between energy output and design features. Positioning mathematics as the driver in REI iSTEM engineering design contexts aligns with the Common Core State Standards for Mathematics and foregrounds mathematics as a primary organizing discipline …

Stem Integration Through Environmental Data Analysis For Real-World Problem Solving, Abigail Erskine

Indiana STEM Education Conference

Integrating authentic, environmental-based data can make STEM instruction more meaningful. As part of a broader high school STEM curriculum, I designed a lesson that connects mathematical and statistical concepts, technology, and environmental data through environmental data analysis to develop real-world problem solving. Using local deer mortality data, I examined how descriptive statistics and data interpretation could reveal population and ecological patterns. Designing with real data highlighted how mathematics can serve as a lens for understanding environmental issues and promote connections across STEM disciplines. This research brief focuses on the instructional design and reflection as the lesson designer.

The Influence Of Teachers And Career Counselors Of Middle School Students' Interest In Pursuing Stem Careers, Damilola Ayokanmi, Paul Asunda

Indiana STEM Education Conference

At the front of every STEM classroom, teachers hold more than just textbooks, they hold the potential to shape students’ aspirations, confidence, and perceptions of what is possible in science, technology, engineering, and mathematics (STEM). Beyond teaching content, they nurture problem-solving skills and position STEM careers as attainable (Dare et al., 2021). Career counselors complement this work by providing career-related information, exposing students to STEM professions, and guiding them through academic pathways (Rottinghaus et al., 2018). Together, these educators form an essential support system influencing students’ early career awareness (Murcia et al., 2020). This ongoing qualitative study examines how teachers …

Machine Learning For Economists, John Luke Gallup

Economics Faculty Publications and Presentations

Explication of machine learning algorithms and their usefulness for economic research. The prediction algorithms of Random Forest, Gradient Boost Machines, Neural Networks and Support Vector Machines are built from simple steps applied at large scale to generate surprisingly precise nonlinear estimates. Although useful for processing and interpreting new forms of data, their application to economics research is limited because they do not provide readily interpretable evidence of the causes of outcomes.

Green Energy Innovation As A Theme For Integrated Stem Curriculum In K-8 Out-Of-School Learning, Humphrey Chinenye Ochulor, Paul Asunda, Swagata Sarkar, Comfort Temitope Aje, Deepanshu Gupta

Indiana STEM Education Conference

In this project, we developed a theme of Green Energy Innovation (GEI) for K-8 integrated STEM (iSTEM) out-of-school learning that includes scientific concepts, engineering design, mathematical measurement, and data collection. Anchored in engineering design (English, 2016), the researchers designed a curricular unit that included simple and complex solar car models. The researcher-designed solar car prototypes serve as STEM kits that support students’ iSTEM-based engineering design activities.

More Than A Design Task: How Questions Shape Student Attention And Learning, Isaiah Kent-Schneider

Indiana STEM Education Conference

Incorporating engineering design activities into education has the potential to transform learning and students' educational experiences. However, when teachers implement engineering design without asking purposeful questions to focus students' attention, students tend to focus on the task but miss out on the intended learning of underlying science and math concepts. This research brief provides practical examples of questions teachers can use to focus student attention during engineering design activities.

Unmasking Impression Management: Large Language Models For Detecting Socially Desirable Responding In Open-Ended Situational Judgment Tests, Barret Vermilion

Graduate Studies Theses and Dissertations 2026

Socially desirable responding (SDR) — the tendency to present oneself in an overly favorable light — remains a persistent validity concern in industrial-organizational psychology. Contemporary theory frames SDR as multidimensional, distinguishing agentic impression management (AM; inflating competence, dominance, and achievement) from communal impression management (CM; inflating warmth, cooperation, and prosocial qualities). Existing measures of AM and CM rely on self-report, which captures these constructs only at the level of generalized trait-like tendencies rather than as they naturally unfold in applicants' own language. This dissertation proposes a text-based alternative: detecting AM and CM in open-ended situational judgment tests (SJTs) of Big …

Physics-Based Multi-Hazard Fragility Modeling Of Low-Rise Wood-Frame Buildings Under Hurricane-Induced Wind And Surge, Mumtasirun Nahar, Abdullah M. Braik, Mohammad Syed, Maria Koliou, Petros Sideris

Civil & Environmental Engineering Faculty Publications

Coastal buildings are exposed to concurrent hurricane-induced wind and storm surge, yet their vulnerability is commonly assessed using separate single-hazard models that neglect hazard interaction. This study developed a physics-based finite element framework to evaluate the performance of a low-rise light wood-frame building under simultaneous wind and surge-wave loading. A detailed three-dimensional model was constructed using a sub-assembly strategy that explicitly represented framing members, sheathing systems, and critical connections. Structural response was evaluated across a hazard space defined by wind speed, still-water depth, and flow velocity, and component- and system-level fragility functions were derived using Monte Carlo simulation and generalized …

The Case For Friction In Ai-Mediated Information Seeking And Learning, Susan G. Archambault, Priya Kizhakkethil

Librarian Publications & Presentations

Introduction. This paper challenges the assumption that frictionless AI-mediated information seeking represents progress. We argue that AI systems eliminating productive friction, such as uncertainty, exploration, and reflective processes, undermine intellectual virtues essential for critical thinking in an AI-saturated information environment.

Method. This conceptual article employs a theory synthesis approach, drawing on library information science (LIS) theories of information behaviour, experience, and literacy, virtue epistemology, and human–computer interaction (HCI) friction design literature.

Analysis. We map intellectual virtues such as curiosity, thoroughness, and intellectual humility onto the Association of College and Research Libraries (ACRL) Framework for Information Literacy for Higher Education, building …

Applying Transfer Learning For Street-Scale Nuisance Flood Forecasting In Coastal-Urban Environments, Binata Roy, Jonathan L. Goodall, Diana Mcspadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram

Data Science Faculty Publications

An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained on) to the target domain (a second set of data that is statistically different but related, which the model was not trained on). This study investigates the use of TL for street-scale nuisance flood forecasting by exploring whether an ML model trained for …

Teaching Constitutional Law: Politics, Democracy And History, Andrea Scoseria Katz

Scholarship@WashULaw

Teaching Constitutional Law in the present era presents unique pedagogical challenges. My students arrive skeptical of the field, doubtful of the Supreme Court’s authority, questioning the relevance of legal methods in determining case outcomes, and perceiving constitutional adjudication as irreducibly political. Rather than dismiss these concerns, I argue that constitutional law professors must acknowledge them directly. Our task is not to restore naïve faith in judicial neutrality (an impossible ideal), but to present students with a vision of constitutional meaning-making—one grounded in politics, history, and democratic politics—in which they can recognize themselves as engaged participants in the future of our …

Creativity Through Thought Exercises: Developing A Personal Heuristic For Choreographic Decision-Making, Jalisa R. Johnson

Dance (MFA) Theses

This thesis explores the development of a personal set of heuristics, or accessible thought tools, that can be used in choreographic or creative decision-making. Through an in-depth study of the visual art of Romare Bearden paired with an evaluation of patterns of the author’s personal history, three tools or “dials” emerge: derealization, contextuality and inversion. A close study of Bearden’s work demonstrates a pattern of repurposing and distorting ideas in ways consistent with the three dials. The author found similar patterns emerge in an excavation of her personal narrative, indicative of a cyclical and prophetic re-imagining of previous life experiences. …

Technological Interventions For Reducing Climate Change Impacts On Health: An Overview Of Future Possibilities, Sujatha Alla, Vijay Kumar Chattu, Bawa Singh

Engineering Management & Systems Engineering Faculty Publications

Globally, over five million deaths annually are attributed to extreme weather events exacerbated by climate change, such as heatwaves, hurricanes, wildfires, droughts, and floods, which create health crises and economic losses. The 2015 Paris Declaration emphasized climate technology mechanisms, including research and development, to enhance resilience and reduce greenhouse gas emissions. Biotechnological advancements have mitigated about 20% of economic losses since the 1960s, highlighting technology’s potential to address climate-induced health risks.

Seeing The Invisible Load: Xr+ Multimodal Sensing For Cognitive Ergonomics In Industrial Training, Jessica M. Johnson, Andwele Grant

Virginia Digital Maritime Center (VDMC) Faculty Publications

Extended reality (XR) technologies are increasingly positioned as disruptive Industry 5.0 tools for human-centric industrial training and intelligent human–system integration. Coupled with multimodal sensing (eye tracking, EEG, HRV, GSR, and other physiological signals), XR environments promise to make otherwise invisible cognitive demands observable, especially for novice trainees entering complex industrial settings. Yet the evidence base is fragmented: (1) there is no quantitative synthesis of the cognitive ergonomics benefits of XR plus sensing; (2) little is known about which XR–sensor configurations yield the strongest effects; (3) prior reviews rarely focus on industrial and manufacturing tasks; (4) multimodal signals are used predominantly …

Identifying Mobility Hub Suitability In The Mid-Sized United States Urban Area Using Weighted Overlay And Percentile Based Local Peak Analysis, Eric Asplund

Theses and Dissertations

IDENTIFYING MOBILITY HUB SUITABILITY IN THE MID-SIZED UNITED STATES URBAN AREA USING WEIGHTED OVERLAY AND PERCENTILE‑BASED LOCAL PEAK ANALYSIS

By Eric Asplund

A thesis submitted in partial fulfillment of the requirements for the degree of Master of Urban and Regional Planning at Virginia Commonwealth University.

Virginia Commonwealth University, 2026.

Major Director: Dr. Ivan Suen, Ph. D., Associate Professor, Faculty of Urban and Regional Studies and Planning

Shared mobility hubs are increasingly posited in transportation planning as interventions supporting multimodality, sustainability, and equitable access, but guidance on evaluation of potential hub locations remains uneven, particularly in mid-sized United States cities where …

Follow The Cyclists: Everyday Navigation Of Richmond's Bike Infrastructure, Emily E. Schreer

Theses and Dissertations

This thesis explores the embodied experience of cycling in Richmond, emphasizing the importance of centering firsthand, lived experience in cycling research and urban planning. While traditional transportation planning can often myopically prioritize efficiency and safety metrics to evaluate infrastructure, this project argues that such approaches overlook essential experiential, sensory, and emotional dimensions of cycling that determine how infrastructure is perceived, used, and ultimately succeeds or fails.

Through an ethnographic approach combining field observation of cyclist behavior and mental mapping sessions with Richmond cyclists, this study positions people who bike in Richmond as expert knowledge holders. Participant contributions, combined with observations …

Artificial Elections: How Artificial Intelligence Can Affect Elections And Decide Our Future, Ryan D. Granger

Honors Undergraduate Theses

This thesis examines the growing role of artificial intelligence (AI) in democratic elections, highlighting both its transformative potential and its associated risks. Drawing on a qualitative analysis of existing literature, the study explores how AI is increasingly integrated into political campaigns, election administration, and voter engagement. Key benefits include enhanced data analysis, personalized political messaging, and improved efficiency in campaign operations. AI also supports real-time fact-checking and more accurate vote tabulation, which can strengthen transparency and trust in electoral processes. However, the thesis emphasizes that these advantages are accompanied by significant challenges. AI technologies enable the rapid creation and dissemination …

Assessing Physiological Arousal During A Standard Versus Inverted Vigilance Task Using Heart Rate Variability, Taha Riaz

Honors Undergraduate Theses

Background: Vigilance tasks require sustained attention over long periods of time while monitoring for rare critical signals. Inverted or reverse vigilance/sustained attention response tasks (SART) may impose greater response-control demands. Although prior studies have compared these tasks behaviorally, there are fewer investigations examining whether they differ in physiological arousal as indexed by heart rate variability (HRV).

Method: Undergraduate students from UCF completed a variation of either the X-CPT (standard vigilance task) or the CPT-3 (inverted/SART) task. Electrocardiogram data was recorded continuously. Data from 40 participants were analyzed. HRV was indexed using frequency domain analysis using the low-frequency to high-frequency ratio …

Immigration Securitization And Educational Access: The Impact Of U.S. Immigration Policy On International Students, Cossir Carter

Honors Undergraduate Theses

This study examines the securitization of international students within the broader transformation of United States immigration policy from the post-9/11 era to the present administration. Following the September 11 attacks, immigration governance was increasingly reorganized under a national security framework, significantly altering the regulatory environment surrounding student visas. Subsequent policy shifts have intensified monitoring mechanisms and administrative controls that directly shape international students’ access to education and mobility. Given the sensitivity of immigration-related participation in the current political climate, this research employs qualitative policy analysis rather than direct student surveys. Under the Trump administration, this securitization intensified through stricter visa …

High-Resolution Mapping Of Soil Moisture Variation Using Uas Thermal And Multispectral Imagery, Jackline Amma Timah

Theses and Dissertations

In agricultural landscapes, soil moisture regulates hydrologic partitioning, nutrient transport and water quality, land-atmosphere energy exchange that shapes local climate, and ecosystem resilience. However, traditional monitoring approaches, such as in-situ sensors and satellite imagery, often lack the spatial resolution required to capture fine-scale soil moisture variability. This study evaluated whether unmanned aerial system (UAS)-derived thermal, multispectral, and terrain variables can capture fine-scale spatial variability in volumetric water content (VWC) within an SRB in central Illinois.

High-resolution imagery was collected and paired with 50 field-measured VWC observations. Land surface temperature (LST), vegetation indices (NDVI and NDRE), spectral bands, and slope were …

Predicting Job Performance: The Incremental Validity Of Cognitive Reflection Tests Over General Cognitive Ability And Conscientiousness., Olivia Earll

Theses and Dissertations

Cognitive reflection is the ability to suppress intuitive thinking (Type 1) in favor of deliberative, analytical thought (Type 2). This study investigated cognitive reflection as a predictor of supervisor-rated job performance, exploring its incremental validity over general cognitive ability and conscientiousness. Results indicated that all three variables positively predicted job performance, with cognitive reflection explaining a significant, unique portion of the variance. Exploratory analyses confirmed that this predictive validity remained consistent across industry, age, and sex. Furthermore, cognitive reflection significantly moderated the relationship between general cognitive ability and job performance. These findings highlight the value of deliberative reasoning as a …

Heat Misers, Snow Misers, And Cognitive Misers: The 'Nukewarm' Perceptions Of Nuclear Power, Tyler Williams

Dissertations and Theses

Rising energy demand in the United States necessitates alternatives to fossil fuels, yet renewable energy sources alone are insufficient to meet this demand. Nuclear power presents a promising option but faces persistent public hesitancy. This study examines how heuristic-based biases relate to American's risk-benefit perceptions towards nuclear power. Guided by the heuristic-systematic model. Results indicate that competence and affect are related to risk-benefit perceptions, and naturalness shows no relationship with risk perceptions but does correlate with benefit perceptions. Implications highlight the importance of affect-driven communication strategies for nuclear communicators, while also underscoring the need for participatory approaches that foster trust …

Understanding Waste Management Knowledge And Habits Of Senior High School Students In Lianga, Surigao Del Sur, Philippines, Arnele Mie A. Fanuga, Romy M. Avila, Reyl Justine J. Ballena

ASEAN Journal on Science and Technology for Development

The effective implementation of Solid Waste Management (SWM) in educational institutions is challenged by increasing student populations, limited infrastructure, and inconsistent policy enforcement. This study assessed the Knowledge, Attitudes, and Practices (KAP) of senior high school students regarding SWM in three secondary schools in Lianga, Surigao del Sur, Philippines. Data were collected using a descriptive-correlational design from 150 students selected through quota sampling. Pearson’s correlation analysis revealed significant associations between knowledge and attitude, and between attitude and practice. Knowledge scores were positively correlated across the three secondary schools. Students demonstrated a high level of awareness of the environmental and health …

Interacting With Ideas: How To Engage Stem Students In Active Learning Of Theory Using Technology, Jessica Elizabeth Whitney, Keith Brian Morris

2026 Scholarly Teaching Conference: Concurrent Session Papers

STEM education in the modern age has been subject to much reform – from the integration of technology to an emphasis on student-centered teaching strategies, such as active learning. However, in the wake of virtual and blended-learning environments, student engagement and teacher assessment of student success have been challenged. Tools such as KAHOOT! and iClicker have been promoted to foster an active learning environment while sometimes falling short in regards to student retention of course material. In light of this technological educational revolution, instructors need to be able to determine the most effective tools for their discipline to aid in …