Digital Commons Network^™

Resistance Through Policy: Documenting Lgbtq+ Advocacy In Public Education, Rhys Mitchell Fryar

Theses and Dissertations

This research examines how educational policies related to LGBTQ+ students are constructed, interpreted, and implemented across federal, state, and district-levels. It asks whether institutional intent reflects authentic commitment to equity or functions as symbolic compliance in politically contested environments. Using Portland Public Schools (PPS) as a case study, the analysis situates the district within Oregon’s affirming policy landscape and the Trump administration’s restrictive federal mandates. PPS has adopted policies, such as Administrative Directive 4.30.061 AD (2023b) and the Gender Identity Support Guide (2023a), to support queer and gender-expansive students; however, it faces a federal investigation (U.S. Department of Education, 2025b, …

Identity Formation Through The Lived Experiences Of Immigrant Muslim High School Students, Badera Muhanna

Theses and Dissertations

The growing number of Muslim students enrolled in U.S. public schools necessitates a more comprehensive understanding of their unique experiences within their educational environments. This phenomenological qualitative study investigated Muslim students' perceptions of their lived experiences in a high school in the Northern Great Plains of the United States. Six Muslim students in their junior and senior years were selected to participate in semi-structured interviews. Through the lens of Bronfenbrenner’s ecological systems theory, this study aimed to deepen understanding of how Muslim students develop their sense of identity and the factors that contribute to this development. The findings revealed that …

Evaluating Hail Spectrometer Data Quality And Uncertainty For Calculating Radar Reflectivity Factor, James Klinman

Theses and Dissertations

Reliable in situ measurements are essential for accurately forecasting and nowcasting hailstorms, as they provide insight into storm processes, improve predictions that protect public safety, and help assess potential damage to agriculture and infrastructure. This study evaluates the reliability of in situ hail measurements from the T-28 aircraft’s Hail Spectrometer and assesses their feasibility for radar reflectivity validation and parameterization. Data from 14 flights across five field campaigns were analyzed, focusing on comparisons between one-dimensional (1D) 1-Hz accumulated particle counts and two-dimensional (2D) particle images produced by the Hail Spectrometer. The 2D data were processed using the System for Optical …

The Role Of Attitude Ambivalence In Extending The Theory Of Planned Behavior: A Mixed-Methods Study Of Factors Predicting Influenza Vaccine Uptake Intentions Among Active-Duty Military Parents For Themselves And Their Children, Walter Eugene Carroll

Theses and Dissertations

This dissertation is a mixed-methods study examining how U.S. military parents form intentions to vaccinate themselves and their children against influenza. The study applies the Theory of Planned Behavior (TPB) and the construct of ambivalence tounderstand how attitudes, social norms, and perceived behavioral control influence vaccination decisions within the unique institutional and cultural environment of military life. Quantitative data were collected from 341 military parents through an online survey distributed across more than 50 military-affiliated Facebook groups. Regression models tested TPB constructs, flu knowledge, and social media use as predictors of vaccination intention and ambivalence. Results showed that flu shot …

Beyond Artemis: A Framework For Strategic International Cooperation In Space Exploration And Security, Lang Eric Sundby

Theses and Dissertations

The need for a more robust and formalized international cooperation framework has grown from the technological and political developments of both State and commercial actors in the space domain. Existing treaties, such as the Outer Space Treaty, have established norms for space activities, and recent agreements, like the Artemis Accords, have advanced additional innovative principles. Despite this progress, these agreements fall short of offering organizational structures for cooperation and methods for legal enforcement. Growing geopolitical competition has led to the formation of new models for China’s and Russia’s cooperation with other States in space, which include the International Lunar Research …

Rapid Prototyping Of Low-Cost Sensor Systems Towards A Platform For Upper Limb Posture Estimation, Russell Rathbun

Electrical Engineering and Computer Science Undergraduate Honors Theses

Physical therapy requires patients to perform repeated actions to achieve meaningful results in rehabilitation. This thesis explores production methods and various sensor systems by utilizing rapid prototyping, inertial measurement units (IMUs), and capacitive sensor arrays (CSAs). CSAs can be made from a wide ar- ray of materials and techniques including 3d printing and laser ablation–to rapidly create CSAs that can be custom fit to enable proximity, force, and touch detection. IMU and CSA systems individually are able to track upper limb movements, ges- tures, and positions. This combination of sensors enables accurate upper limb pos- ture estimation of patients. This …

Understanding Bias And Fairness In Large Language Models: An Empirical Study, Joshua Johnson

Electrical Engineering and Computer Science Undergraduate Honors Theses

This thesis investigates demographic bias in large language models (LLMs) through the use of evaluating outcome disparities when utilized in decision making tasks as well as underlying associations that could contribute to furthering these disparities. Using profiles from the Adult dataset, we analyze how Gemini 2.0 Flash performs in an income prediction task using zero-shot and few-shot prompting methods. Our findings show that models exhibit measurable differences in demographic parity and false positive rates, with the use of few-shot prompting reducing these disparities. Alongside this line of testing, we tested associational bias in Qwen 2.5 using probability based association tests …

Exploring Hiring Managers’ Strategies For Recruiting Diverse Educators In A Southeastern State, Keisa K. Davis Ma

Dissertations

This dissertation examined the strategies applied by hiring managers within one state in the southeastern United States to recruit diverse teachers. The purpose of the study was to explore hiring managers’ experiences and knowledge of minority teacher recruitment. The primary research question for this study was: What strategies do hiring managers in the school district under study find most effective in overcoming barriers to recruiting minority educators, and how do they measure their success? Data was collected through semi-structured interviews, and thematic coding was used to arrive at emerging themes, patterns, and perceptions. The findings revealed that while hiring managers …

Language Learner Literature: A Mixed Methods Study, Esmeralda Mora

Dissertations

This dissertation, Language Learner Literature: A Mixed Methods Study, by Esmeralda Mora, Ed.D., of National Louis University, specializing in Curriculum, Advocacy, and Policy, investigated the impact of shifting a Midwest high school world language department from a traditional, grammar-focused model to a proficiency-based approach centered on Language Learner Literature (LLL). Employing a Modified Explanatory Sequential Mixed Methods Design, the study first analyzed longitudinal AAPPL proficiency scores from 1,134 high school students (2020–2025) using T-tests and Multiple Linear Regressions to establish measurable outcomes (the "what"). This quantitative phase demonstrated significant and consistent gains in expressive skills (Writing and Speaking) post-LLL implementation, …

Evaluating The Effectiveness Of A Fully Immersive Esol Elementary Program: A Mixed-Methods Study, Equitia D. Armour

Dissertations

With the enrollment of students who are English Language Learners (ELL) steadily rising across the United States, this research sought to understand how immersive models support both language acquisition and academic achievement. This study examined the effectiveness of a fully immersive English Speaker of Other Languages (ESOL) program in one elementary school. The purpose was to identify the qualities of successful ESOL programming, and the conditions needed for sustained growth. The primary research question for this study was: What are the qualities of a successful fully immersive ELL elementary program? Using a mixed-methods design, data were drawn from surveys, interviews, …

Caring For Others And Self Care: Examining “Good” Care Among The Older Vietnamese Community In San José, California, Chloe Nguyen

Master's Theses

In this thesis, I present a study of the older Vietnamese community in San José, California. I explore the concept of "good" care through the anthropology of care, a conceptual framework that examines how care is understood and practiced across different cultural and social contexts. Using ethnographic methods, such as interviews and participant observation, I examine caregiving practices and experiences, as well as community members' perceptions of what constitutes "good" care. I draw on concepts of "good" care, reciprocal caregiving, and self-care to analyze themes that emerge from their caregiving practices and experiences. I also discuss caregiving at a distance …

Machine Learning-Based Detection Of Covert Data Exfiltration Via Electromagnetic Side-Channel Emissions From Computer Memory In Air-Gapped Systems, Oladapo Akintoye Ajike

All Theses

Air-gapped computer systems are physically isolated from unsecured networks. Though isolated, they remain vulnerable to covert data exfiltration via electromagnetic side channels and other covert-channel attacks. This research presents a comprehensive approach to detecting electromagnetic data exfiltration by establishing a controlled laboratory environment using low-cost, readily available hardware components. The study shows a proof-of-concept covert data transmission system that exploits electromagnetic emissions from computer memory access patterns through software-controlled Random Access Memory (RAM) operations.

The research methodology involved developing a C++ transmitter program that modulates CPU and memory-intensive operations to generate detectable electromagnetic signals at 100 MHz frequency, and implementing …

Energy-Efficient Task Offloading Frameworks For Mixed Reality And Extended Reality In Edge Ai Environments, Mahin Khan Mahadi

All Theses

Mixed Reality (MR) and Extended Reality (XR) technologies are increasingly integrated into real-time applications such as remote maintenance, spatial navigation, and immersive learning. However, the computational intensity of deep learning workloads, especially object detection models like YOLO, poses significant challenges for wearable XR devices with limited processing power and battery life. To address these challenges, this thesis presents a comprehensive study of adaptive offloading strategies that optimize task execution between XR devices and edge servers.

We first proposed the Binary Spatial Allocation Framework (BSAF), which introduced a real-time binary decision mechanism for XR systems. The BSAF framework evaluates scene complexity, …

Design And Analysis Of Low-Cost Lora Mesh Network For Reliable And Secured Precision Agriculture, Yamini Swetha Nadella

All Theses

Rural precision agriculture requires reliable, low-cost, and energy-efficient communication systems that can cover large farmland areas. Traditional wireless technologies, such as Wi-Fi, cellular, and satellite communication, are either expensive, consume too much power or are even unreliable in maintaining connectivity in large farmlands, which is a common case in rural precision agriculture. LoRa-based networks support long-range communication with extremely low power consumption, making them an appropriate solution for precision agriculture applications in rural farmland areas. Current LoRaWAN systems employ star topology, which also limits their ability to offer efficient, multi-hop connectivity in rural environments.

This thesis presents the design, implementation, …

Integrating Semi-Supervised Learning And Ensemble Deep Learning For Low-Resource Deep Knowledge Tracing, Uchechukwu Melody Okechukwu

All Theses

As learning platforms scale, two obstacles prevent Deep Knowledge Tracing (DKT) from thriving in practice: the scarcity of labeled interactions and the opacity of predictions. We introduced a semi-supervised, ensemble DKT pipeline that trains diverse architectures, including Knowledge Proficiency Tracing (KPT), Exercise-Correlated KPT (EKPT), and Dynamic Key-Value Memory Networks (DKVMN) on a mixture of limited labeled and abundant unlabeled learner interactions, then aggregates predictions via majority voting to stabilize learning and reduce variance. Evaluated on benchmark datasets such as ASSISTments, the combined approach yields consistent gains in AUC, accuracy, and precision over strong supervised baselines while revealing influential interactions, surfacing …

The Influence Of Culture + Technology On Night-Time Economy, Jianping Xu

Dissertations and Theses Collection (Open Access)

As a vital component of modern urban economies, the night-time economy has emerged as a crucial pathway for stimulating domestic demand and promoting consumption upgrading. With the rapid development of digital technologies and increasingly diversified cultural demands, the deep integration of 'Culture + Technology' has provided new momentum for the innovative development of the night-time economy. This study focuses on how 'Culture + Technology' empowers the night-time economy, exploring its impact mechanisms, current status, and development pathways through theoretical analysis, case studies, and empirical surveys.

First, this paper constructs a theoretical framework for 'Culture + Technology' empowering the night-time economy …

Beyond The Csu Ai Initiative Rollout: Exploring The Continued Uses, Gratifications, And Literacy Of Generative Artificial Intelligence Integration At Cal Poly, San Luis Obispo, Marshall Piros, Kaylie Marrs

Communication Studies

This case study examines the use of ChatGPT on the California Polytechnic State University, San Luis Obispo (hereafter referred to as Cal Poly or Cal Poly, San Luis Obispo) campus as part of the system-wide CSU AI Initiative. This is a follow-up study to previous work in which the researchers examined AI usage and gratifications during the early rollout of the CSU AI Initiative during Spring 2025. Using a qualitative approach, we used semi-structured interviews (N = 24) to gather in-depth perspectives on AI usage, gratifications, concerns, and definitions of AI literacy from students and faculty. Findings indicate that while …

Mozgus, Damian Cerda, Madison Lopez

Computer Science and Software Engineering

The indie game market is flooded with genre experiments, yet few successfully combine fast-paced action with meaningful strategic decision-making. Our project aims to fill this gap by creating a game that fuses top-down action combat with resource-management tycoon mechanics. We found that in many games, the management phases lack mechanical stakes. Our goal was to intertwine these systems so that choices made in one phase meaningfully impact the other.

Psychological Effects Of Health Disparities: A Multi-Identity Understanding, Shayda Shokooh, Kiana Hosseinzadeh, Olivia Copeland, Katie Wong

Psychology and Child Development

The United States has a long history of public health inequities which continue to impact individuals based on their varying intersectional identities. These systemic obstacles often impede access to healthcare, comprehensive treatment by physicians, and preventative care, among other factors. Disparities within healthcare consequently result in decreased overall well-being and negative psychological impacts, based on identity. We reviewed a variety of academic peer-reviewed studies, both empirical and systematic, investigating three identity factors: racial and ethnic minorities, socioeconomic status, and cognitive disabilities, and examining how these facets influence a person’s mental state and experience of healthcare. We analyzed each of these …

Investigating Road Salt And Groundwater Contributions To Chloride Toxicity In Hart Brook, Hunter Jackson Houle

Standard Theses

This study investigates chloride loading mechanisms and contamination of Hart Brook, a Class B impaired tributary of the Androscoggin River in Lewiston, Maine. By examining the hydrologic and geochemical response to a precipitation event following one of Maine's most severe recorded droughts, I assessed whether specific conductivity serves as a reliable proxy for field-measured chloride concentrations and evaluated how Hart Brook responds to storm disturbances. Water samples collected from three sites (HB3, HB4, HB5) before, during, and after a 1.9-inch rainfall event on September 25–26, 2025, were analyzed using Mohr titration to quantify chloride concentrations and to validate its relationship …

Faculty Listing

MC Law Review

No abstract provided.

Looking At Teacher Knowledge, Skills, And Dispositions To Create School-Wide English Learning, Grace Elizabeth Allely

Theses and Dissertations

This dissertation-in-practice addresses the gap between teacher preparation and the rapidly growing multilingual learner population in U.S. public schools, where one in four students is classified as an English Learner yet only half of states mandate specialized teacher training for this population. Grounded in sociocultural learning theory, the know-do gap framework, and implementation science principles, this qualitative study investigates how the School-Wide English Learning (SWEL) peer coaching model bridges the divide between educators' theoretical knowledge and classroom application. Through focus group interviews with eleven general education teachers who participated in SWEL coaching for at least six months in Minnesota District …

Optimizing Virtual Reality User Experience With Balanced Integration Of Quality Attributes, Ananth Ramaseri

Theses and Dissertations

This dissertation presents a real-time adaptive framework for mitigating cybersickness and enhancing user experience in virtual reality (VR) environments by dynamically adjusting key visual rendering parameters in response to users’ head movements. Conventional VR systems typically rely on fixed or manually configured settings that do not account for individual motion patterns or varying susceptibility to discomfort, leading to suboptimal usability and degraded immersion. In response, this work integrates software architecture tactics with data-driven machine learning models to proactively manage cybersickness while preserving rendering performance.

The proposed system employs a client–server architecture based on the Model-View-Controller (MVC) pattern. We conducted a …

The Impacts Of Hydrometeor Centrifuging On Numerical Simulations Of Supercells And Tornado-Like Vortices, Ronald Stenz

Theses and Dissertations

Supercell simulations capable of resolving a tornado-like vortex (TLV) have typically ignored hydrometeor centrifuging, resulting in the unrealistic buildup of precipitation in the center of TLVs. To improve the realism of numerical simulations of supercells and their resulting TLVs, an algorithm to parameterize bulk hydrometeor centrifuging was incorporated into an idealized cloud model. Simple idealized vortex simulations and simulations of supercells producing TLVs were analyzed to determine the impacts of hydrometeor centrifuging on numerically simulated supercells and TLVs. The inclusion of hydrometeor centrifuging does not appear to directly impact the intensity and duration of supercell spawned TLVs. Although precipitation minima …

Enhancing Cryptocurrency Prediction: A Fusion Of Machine Learning And Neutrosophic Programming, Ahmad Yusuf Adhami, Mohammad Parvej, Nabil Ahmed Khan, Mohd Khalid

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Probabilistic Distribution Framework For Modeling Uncertainty In Political Learning Environments: Precision Delivery Models Evaluation For College Political-Ideological Education, Guangda Zhao

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Modeling Of Cognitive Political Dynamics For Teaching Effectiveness In University Thought And Politics Curriculum In Blended Learning Environments, Xiaoqin Chen

Neutrosophic Sets and Systems

No abstract provided.

Ne³-Dynamics: A Neutrosophic Dynamical Model For Measuring Performance In College Innovation And Entrepreneurship Education, Xuguang Dai, Ziwei Zhou, Jiachen Liu, Dun Hu

Neutrosophic Sets and Systems

No abstract provided.

Pythagorean Language Neutrosophic Number For Teaching Quality Analysis Of Dance Education And Performing Arts Programs Based On Multimedia Technology, Shifei He, Lizhu Fang

Neutrosophic Sets and Systems

No abstract provided.

Multi-Valued Complex Neutrosophic Uncertain Linguistic Sets For Indicators Construction And Influencing Factors Of Teachers' Informational Leadership, Huisi Chen

Neutrosophic Sets and Systems

No abstract provided.