Digital Commons Network^™

Integrating People And Technology: Exploring The Validation Of The King And Hughes Hrd, Technology Ethics, And Leadership Scale, Hannah King

Graduate Theses and Dissertations

People and technologies have coexisted within organizations for centuries. In the wave of the fourth and fifth industrial revolutions, however, organizations must place an emphasis on ethically integrating new technologies, like artificial intelligence, alongside people in order to sustain a competitive advantage in the marketplace. A review of the literature identified a need for more research examining ethics in the use of technology by HRD professionals. The purpose of this descriptive research study was to assess the relationship between HRD activities, ethics, and technology and examine the influence that an organization’s code of ethics has on their integration. This study …

Teacher Narratives Of Curriculum Implementation In Bilingual Education: A Vygotskian Analysis, Jose F. Orozco

Theses and Dissertations

This narrative inquiry explores bilingual educators' experiences implementing the Amplify Reading curriculum in a diverse, Title I-funded urban district. As schools adopt standardized curricula, tensions emerge between monolingual standards and the needs of bilingual students. Using a Vygotskian framework with Cultural-Historical Activity Theory (CHAT) and Knowledge Structures (KS), the study examines how teachers navigate systemic contradictions and how these tensions influence their professional identities.

Using an interpretivist approach, data were collected via semi-structured interviews, a focus group, and a researcher’s journal from six experienced bilingual educators. Thematic analysis reveals profound structural fractures within the activity system: a primary contradiction between …

Modeling Causal Interactions Across Brain Functional Systems For Population-Specific Disease Analysis, Alissen Moreno

Theses and Dissertations

Functional brain connectivity provides critical insight into neural mechanisms underlying neurodegenerative and affective disorders. Traditional neuroimaging studies rely on undirected or region-specific connectivity measures developed predominantly using racially homogeneous cohorts, limiting fairness and generalizability across diverse populations.

We propose a population-aware framework modeling directed causal interactions across large-scale brain functional subnetworks. Resting-state fMRI data from the HABS-HD cohort were used to construct subject-level causal connectivity matrices via ICA-LiNGAM, aggregated into interpretable system-level hyper-connectomes representing interactions among eleven canonical brain subsystems. These features trained nonlinear models for Alzheimer’s disease stage classification and trait worry prediction.

Results demonstrate that MLP models outperform …

Enhancing Walleye (Ogaa) Recruitment: Evaluating Assisted Reproduction As A Mitigation Strategy, Douglass Keiser

Biology Graduate Theses

Over the past several decades, cold- and cool-water fish populations across the Upper Midwest, including Minnesota and Wisconsin, have shown troubling signs of decline. Among the most affected is the walleye/Ogaa (Sander vitreus), a species deeply embedded in the ecological balance, cultural identity, and economic vitality of the region, and central to the lifeways, treaty-reserved rights, and resource stewardship of Tribal Nations, including Ojibwe communities across the Upper Midwest. Despite ongoing stocking efforts and harvest regulations, many lake systems have experienced persistent declines in natural recruitment, prompting resource agencies to investigate the underlying causes. One such system is …

From Reactive To Predictive: A Hybrid Trust-Mediated Adoption Framework For Data-Driven Maintenance In Distributed-Authority Aviation Environments, Dustin J. Foote

International Journal of Aviation, Aeronautics, and Aerospace

Modern aviation maintenance operates within increasingly data-intensive technological environments, yet the operational integration of predictive maintenance into routine decision-making remains inconsistent across sectors. Contemporary aircraft incorporate centralized maintenance computers and condition monitoring architectures capable of fault aggregation, exceedance capture, and trend-based data collection. Although prognostics and health management research continues to advance detection and prediction methods, implementation outcomes often depend on factors beyond analytical performance alone.

This paper examines predictive maintenance adoption in distributed-authority aviation environments and argues that constraints emerge less from sensing capability than from organizational structure, decision authority dispersion, and institutional trust dynamics. For purposes of analysis, …

A Guided Curriculum Approach To Supporting Critical Thinking And Mathematical Readiness In Ib Physics, Samantha Killeen

Masters Projects

The purpose of this project is to address the problem that many students lack the critical thinking and mathematical reasoning skills required to be successful in rigorous STEM courses like IB Physics. While students may perform well in mathematics courses, they often struggle to transfer those skills into physics contexts that require conceptual understanding and problem-solving. These challenges have been intensified by academic tracking in mathematics pathways, post-pandemic learning loss, and increased dependence on technology, which have reduced the opportunities for productive struggle in the classroom. As a result, students frequently enter IB Physics unprepared for the pace and rigor …

Implementation Brief 1 Resources, Center On English Language Proficiency

Resources

No abstract provided.

A Strategic Audit Of Brown-Forman, Joshua Rossman, Carter Mann, Maris Grabill, Joe Meath, Gavin Pokorny

Honors Program: Senior Projects (Public)

Brown-Forman is a global spirits company with products sold in more than 170 countries. Known for brands such as Jack Daniel’s, Woodford Reserve, and Herradura, Brown-Forman’s history spans back over 150 years. Much of its success comes from thoughtful brand stewardship and a long-term approach to growth. The company operates in the highly competitive distilleries industry, where strong brand identity and premium positioning are key to performance.

This strategic audit reviews Brown-Forman’s development, leadership, business model, and guiding mission, as well as its external environment and internal capabilities. It also considers performance, competitive dynamics, business-level and corporate-level strategies, governance, and …

An Investigation Of Data Granularity In Rag Pipelines For Personalized Medicine, Paritosh Pandey

Master's Theses

Generative AI, exemplified by large language models like the OpenAI GPT and Meta LLaMA families, can produce diverse content in response to prompts. This capability offers a promising solution to challenges in precision medicine, which seeks to tailor treatments to individual clinical profiles but often struggles with data collection, cost, and privacy concerns. By generating realistic, privacy-preserving patient data, generative AI has the potential to transform patient-centric healthcare. With such motivation, this research develops a comprehensive Generative AI pipeline emphasizing data granularity for accurate prediction of personalized treatments. The pipeline features a central Large Language Model interacting with a Machine …

Agentcite: Trustworthy Ai Agents For Information Verification Across Referenced Documents, Eymen Yigit

Master's Theses

This thesis presents AgentCite, a multi-agent framework for automated verification of referenced numerical data in research documents. The framework employs a hybrid design in which LLM-based agents handle document understanding and evidence retrieval, while deterministic components manage structured parsing and value comparison, improving consistency and reproducibility while reducing token consumption and execution time compared to fully agentic approaches.

AgentCite consists of three autonomous agents: a Negotiator, a Main Document Agent, and a Source Documents Agent, coordinated through a fixed tool-call pipeline. The Negotiator orchestrates verification by extracting tabular data from the main document, retrieving evidence from per-source vector stores, and …

Probing Representational Emergence In Large Language Models, Shawn Ismail

Master's Theses

This thesis investigates whether abrupt behavioral gains in large language models under scaling are accompanied by systematic changes in internal representations. It combines a behavioral screen of 65 tasks per family with targeted layerwise probing across eight decoder-only, open-weight model families. Behavioral emergence is defined for each family-task trajectory using an empirical jump detector, with segmented regression retained only as a diagnostic. The representational follow-up analyzes 27 selected MMLU subtasks shared across all families, spanning 37 checkpoints and 216 family-task units.

For each follow-up checkpoint, frozen linear probes are trained on every layer's hidden states to measure how much task-relevant …

Recruiting And Retaining Teachers In A Rural School District: A Case Study, Gerald J. Bavero

Dissertations

         This exploratory case study aimed to understand the specific strategies that rural school leaders employ to address the challenges associated with recruiting and retaining teachers in rural schools.  It sought to understand the effectiveness of these strategies within the unique economic and cultural landscape of South West County and to identify practices that could inform broader educational policy and practice in this and similar rural settings.  A qualitative case study approach utilizing semi-structured interview questions was conducted to discover what teacher recruitment and retention strategies school leaders implement and how teachers perceive these strategies.  Findings indicate both formal and informal …

Science For All: Utilizing Native And Everyday Language To Increase Academic Performance And Student Engagement For High School English Language Learners, Lashanda K. Whitworth

Dissertations

In public high schools across the U.S. high stakes assessments are seen as a lever to facilitate high-quality education and to gauge student learning. English Language Learners are mainstreamed into content classes and despite having low English proficiency scores are expected to perform as well as English first students and are required to take district and state mandated biology assessments. At the research site, ELLs comprise 25% of students and consistently score below the other subgroups in biology. This quasi-experimental study tested whether using disaggregate instructional strategies—incorporating ELLs’ native and everyday language—increases learning gains, academic growth, and engagement in a …

Federated Neuromorphic Intelligence: Advancing Robustness, Efficiency, And Continual Adaptation In Edge Environments, Manh V. Nguyen

Dissertations

This dissertation investigates how spiking neural networks (SNNs) can improve federated edge intelligence by advancing three interconnected goals: communication efficiency, adversarial robustness, and continual adaptation. As edge computing deployments expand across Internet of Things (IoT), sensing, and privacy-sensitive applications, conventional federated learning approaches built around artificial neural networks (ANNs) face growing limitations in power consumption, bandwidth demand, and resilience to real-world uncertainty. SNNs offer an alternative computational paradigm based on event-driven, sparse, and temporally structured processing that is naturally suited to constrained edge environments. However, their behavior in practical federated settings remains insufficiently understood.

To address this gap, this dissertation …

Perceptions And Beliefs Of A High School Geometry Professional Learning Community During Initial Implementation Of Standards-Based Grading, Marcellyn E. Baker

Dissertations

Traditional grading systems in secondary schools often conflate behavior with achievement, obscure evidence of understanding, and constrain teachers’ ability to enact learning-centered beliefs. This qualitative case study examined how five experienced secondary mathematics teachers in a public high school geometry department experienced and interpreted a grassroots transition to standards-based grading (SBG) within collaborative professional learning communities (PLCs). Guided by a pragmatic and constructivist worldview, data were collected through semi-structured interviews, focus groups, field observations, and questionnaires and analyzed using iterative open and axial coding with cross-group pattern analysis. Findings indicated that SBG did not fundamentally alter teachers’ beliefs about learning; …

Bipoc Stem Scholarship And Mentorship Initiative: A Community Based Approach To Expanding Access And Equity In Stem Education, Raymond Davis Jr.

Master of Public Administration for Senior Leadership

Across the United States, persistent inequities continue to limit access to Science,  Technology, Engineering, and Mathematics (STEM) education for Black, Indigenous, and  People of Color (BIPOC) students. Despite increased national attention toward diversity,  equity, and inclusion over the past decade, measurable improvements in participation,  retention, and degree completion in STEM fields have not kept pace. These disparities  remain deeply rooted in structural inequalities that influence educational access, resource  distribution, and long-term career opportunities.

The issue is frequently described as a“pipeline problem,”suggesting that students enter  STEM pathways but fail to persist through to completion. While this metaphor is useful, it  oversimplifies …

Nomophobia In Early Adolescence: An Exploration Of Prevalence, Academic Performance, And School Policy In United States Middle School Students, Christopher Otero

Dissertations

The purpose of this study was to examine nomophobia among middle school students, investigating its relationships with grade level, smartphone OS, school smartphone policy, and academic performance. Grounded in Social Cognitive Theory, the research utilized a sample of 85 U.S. middle school students to address three research questions:

Q1 What relationships exists between middle school students’ grade levels, smartphone operating systems, school smartphone policy, GPA, and nomophobia levels?

Q2 To what extent do middle school student’s grade level, smartphone operating system, and school smartphone policy predict nomophobia?

Q3 Is nomophobia a significant predictor of GPA in middle school students?

Findings …

Certified Orientation And Mobility Specialists’ Experiences Working With Students Who Have Cerebral Visual Impairment, Elise Nobuko Darrow

Dissertations

Certified orientation and mobility specialists (COMS) provide instruction to students who are blind or visually impaired on how to navigate safely and efficiently. Visual impairments can stem from eye-related conditions or neurological issues, such as cerebral visual impairment (CVI), which affects visual processing. Cerebral visual impairment is currently the leading cause of visual impairment in children in the United States and is often accompanied by comorbidities such as cerebral palsy, which is associated with additional disabilities. Orientation and mobility (O&M) instruction focuses on teaching safe and efficient travel skills and began as a rehabilitation service for blinded war veterans who …

A Webcam Eye Tracking Infrastructure For Software Engineering Tasks, Zachary M. Kozak

School of Computing: Dissertations, Theses, and Student Research

Performing eye tracking utilizing commodity webcams has been explored for over a decade, but limited camera quality and sensitivity to head movements have hindered its adoption in research settings. Recent advances in consumer-grade webcams and machine learning methods present an opportunity to improve the accuracy of webcam eye tracking and extend the feasibility of studies beyond controlled laboratory environments.

Current popular webcam eye tracking methods restrict implementations to the browser and rely on continuous user interactions for calibration, limiting the kinds of studies that can be conducted. This thesis presents a feature-based gaze prediction system that incorporates eye geometry and …

Leveraging Code Embeddings To Identify And Address Blind Spots In Benchmark Creation, Charles Moloney

School of Computing: Dissertations, Theses, and Student Research

Formal software verification remains critical for early vulnerability detection, yet benchmarking these tools is costly and often reliant on centralized datasets such as SV-COMP. While such repositories enable standardized evaluation, they introduce risks of overfitting and bias, particularly due to first-party benchmark contributions. To address these limitations, we extend ARG-V, our tool for generating SV-COMP-compatible benchmarks from real-world Java code, with a novel approach of using code embedding techniques to selectively sample from mined code. By leveraging Nomic Embed Code and a cosine-based Minimum Hyperspherical Energy (MHE) objective, we systematically select and transform benchmarks from scraped GitHub code that …

Real-Time Adaptable Residential Kitchen: A Plug-In Standard, Rachel Fuelberth

Masters in Architecture Program: Theses

This thesis looks at how a real-time adaptable standard could be put in place within the modern kitchen to allow for equitable use of the space by numerous members of the household and their differing physical characteristics. The residential kitchen is a fundamentally exclusionary architectural construction designed around able-bodied, average-height adults. This excludes children, the elderly, anyone outside of the average height, and people with mobility differences. The kitchen has never been a place of equity. It has been designed to be used by an average-height female, and it does not account for the discomfort of those outside this norm. …

Design And Development Of A Passive Dust Protection System For Lunar Docking Operations, Simon Thengvall

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

Lunar docking systems face a unique set of environmental conditions that can create significant challenges for mechanical design. Among these, the abrasive nature of lunar regolith can impair the kinematic function of traditional terrestrial mechanisms as well as contaminate critical spacecraft components such as environmental seals, causing them to fail. For crew-rated docking systems, failure of these systems not only threatens mission success, but also crew safety, so dust protection is crucial for docking components. To address the concerns of regolith intrusion, the Simple External Attachment for Lunar Openings (SEALO) is developed as a key architecture for mechanism evaluation when …

Exploring The Evolution Of Preservice Elementary Teachers' Mathematics Identity And Possible Selves: A Multi-Case Study Approach, Christa R. Mawn

Theses, Dissertations and Culminating Projects

This study explores the nature of preservice elementary teachers’ mathematics identity and possible selves and identifies shifts in their mathematics identity or possible selves over the course of a place value unit during the semester during a course on mathematics content for elementary teachers. Drawing on narrative identity and possible selves theory, this qualitative multi-case study examined the mathematics identity and possible selves of preservice elementary teachers enrolled in a mathematics content course. Course assignments were used as data sources and included written narratives, future-oriented reflections, drawings, and course artifacts. Individual cases were analyzed, and were followed by a cross-cases …

Investigation Of Curing And Degradation Mechanisms In Lead White Oil Paint Systems: Impact Of Methyl Linoleate On Paint Matrix Formation And Solvent Extractability, Andrea Serrano Trujillo

Theses, Dissertations and Culminating Projects

Oil-based paints composed of drying oils and lead-containing pigments undergo complex chemical transformations during curing that influence long-term stability and degradation. Despite centuries of use, the molecular mechanisms governing oxidative polymerization and additive incorporation in lead white oil paint systems remain incompletely understood. This study investigates the role of methyl linoleate, a monoester analog of linoleic acid, in the curing and degradation pathways of lead carbonate and linseed oil paint films. A deep focus was placed on determining whether methyl linoleate becomes chemically integrated into the developing polymeric network or remains as an extractable and unbound component, as this distinction …

Fret Studies On The Binding Of Fibroblast Growth Factor (Fgf) Proteins To The Hard Corona Of Cuins2-Based Quantum Dots, Colette Robinson

Graduate Theses and Dissertations

Fibroblast Growth Factor (FGF) has been shown to be an important protein in angiogenesis, which is critical in developmental biology and wound healing but has also been implicated in cancer metastasis. FGF interacts with an FGF Receptor (FGFR) to signal the onset of angiogenesis but the detailed mechanism of angiogenesis, and particularly its regulation, is still largely unknown. Imaging the interaction of FGF with FGFR in biologically-relevant environments, such as directly in cells, is key towards furthering this understanding and may eventually aid in the development of better cancer treatments. CuInS2/ZnS quantum dots (QDs) are an attractive fluorescent probe to …

High Throughput Phenomics Pipeline For Pulse Crop Nutritional Breeding, Amod Udayanga Madurapperumage

All Dissertations

Dry pea (Pisum sativum L.), lentil (Lens culinaris Medik.), and chickpea (Cicer arietinum L.) are major pulse crops valued for their high nutritional composition and importance to global food systems. Pulses are rich in carbohydrates, protein, and essential minerals, making them ideal whole foods and critical contributors to food and nutrition security. Due to these advantages, pulse breeding programs are increasingly focusing on enhancing nutritional traits, such as protein quality, amino acid balance, and micronutrient density, through the process of biofortification. However, improvement of agronomic traits remains equally essential. Characteristics such as plant height, standability, stress tolerance, …

Generalizable Adaptation For Vision-Language Models, Niloufar Alipour Talemi

All Dissertations

Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs) have recently emerged as powerful frameworks for learning joint representations across visual and textual modalities. These models enable a wide range of applications, including visual recognition, multimodal reasoning, and visual question answering. However, adapting large pre-trained VLMs to downstream tasks while preserving their strong generalization ability remains a significant challenge, particularly under domain shifts or limited supervision. This dissertation focuses on developing methods for generalizable adaptation of VLMs, aiming to improve robustness, efficiency, and applicability across diverse tasks and environments.

First, this work introduces novel prompt learning strategies for adapting CLIP-style …

Examining Mathematics Identity And Student Capital In The United States And Norway: Comparative Insights From First-Generation College Students In First-Year Mathematics Courses, Margaret Ann Bolick

All Dissertations

First‑generation college students (FGCSs)—students whose parents did not complete a bachelor’s degree—are underrepresented in international research on first‑year mathematics course retention and are often compared to their continuing‑generation peers in ways that reinforce deficit narratives and skew perceptions of FGCSs. This study provides a descriptive comparison between FGCSs’ mathematics identity and forms of capital across the cultural contexts of Norway and the United States through four interconnected papers that address the overarching research question: How do cultural and educational contexts in Norway and the United States influence how FGCSs conceptualize and express forms of capital and mathematics identity in first-year …

Learning Global Context For Sparse Activity Recognition In Lengthy Recordings With Limited Dataset Size, Zeyu Tang

All Dissertations

This dissertation describes methods to analyze lengthy recordings of data in order to detect sparsely occurring activities. The narrative below describes the progression of research that led to the development of these methods and their generalization into a unified framework. My research started with designing models for dietary monitoring, including detecting meals from day-long recordings and detecting intake gestures from meal-length recordings. Both tasks share some common characteristics: (a) the target event takes only a small portion of data recordings, and (b) there is global context within full-length data recordings that can help a model make better decisions. After finishing …

Towards Generalizable Representation Learning Across Domains, Hossein Kashiani

All Dissertations

Despite remarkable progress in deep learning, a major challenge remains: machine learning models often struggle to generalize to unseen domains under distribution shift. In real-world settings, data often differ from training conditions due to changes in lighting, sensor type, image resolution, and style. These differences can significantly degrade performance, highlighting the need for representations that are both robust and generalizable. This thesis addresses this challenge by developing a set of frameworks for generalization across domains in anomaly detection, deepfake detection, and vision-language image recognition. For anomaly detection, this thesis introduces ROADS, a robust prompt-driven framework for multi-class unified anomaly detection. …