Digital Commons Network^™

Remote Reality: Exploring The Outcomes Of Psychological Contract Breach On Telecommuting Employees, Karen L. Ng

Master's Theses

The purpose of this study was to investigate the relationship between psychological contract breach (PCB) and attitudinal outcomes, specifically job satisfaction, organizational commitment, and turnover intent, within the telecommuter population. Results of an online survey administered to 213 participants revealed strong support of all hypotheses: PCB was negatively associated with job satisfaction and organizational commitment and positively associated with turnover intent. Exploratory analyses revealed moderating effects of remote work frequency and organizational tenure with PCB and attitudinal outcomes. High-frequency remote workers and longer-tenured employees showed stronger negative reactions to PCB, indicating their amplified vulnerability to breaches. Age and gender showed …

The Zeal Instruction Set Architecture, Joseph A. Gerani

Master's Theses

The Instruction Set Architecture of a CPU (Central Processing Unit) determines what type of instructions the CPU is able to understand, how those instructions are encoded, and what it should output upon receiving those instructions as input. There are currently three popular ISAs meant for the consumer market: x86, RISC-V, and ARM, as well as a fourth that mostly now exists in the server market by the name of Power. One of the most important parts of an ISA is for engineers to be able to understand it and make use of it. If an ISA is too complicated, nobody …

The Moderating Role Of Flexible Work Styles On The Relationship Between Relational Identification And Affective Organizational Commitment, Justine Lee

Master's Theses

The purpose of this study was to explore the moderating role of flexible work styles (in-person, hybrid, and remote) on the relationship between relational identification and affective organizational commitment (AOC). The study utilized an online survey to collect data from 69 respondents. The results demonstrated that although relational identification and AOC were related, this relationship was not moderated by flexible work styles. The three different work styles of in-person, hybrid, and remote work did not show differing affects for a subordinate’s relational identification and the strength of their AOC. The results emphasize that organizations can foster strong relational identification to …

Data Augmentation For Vision-Language-Action Models: Bridging Vision And Language, Miaosen Zhou

Master's Theses

This thesis focuses on real-time task execution and object detection for autonomous robots through dataset augmentation. We propose a data augmentation approach to address dataset imbalance in Vision-Language-Action (VLA) models across both image and text modalities during the fine-tuning process. The proposed method takes an image as input and generates a structured textual description using a prompt engineering strategy to augment the textual input. The generated augmented text includes key elements such as the task goal, scene description, reasoning, and execution plan, along with other relevant contextual information. This enriched representation improves the quality of the training data and supports …

Towards Neural Network Optimization: Addressing Issues With Corrupted Weights Within Models, Nick Najafizadeh

Master's Theses

Neural networks are a recent popular technology inspired from human brains. Much of their popularity arises from how they excel in reasoning and logic, and are generally rather efficient in their tasks. With those strengths, they are frequently used in transportation and business among many other fields. However, neural networks have many factors that can deteriorate their performance, one of the most critical being weight corruption. Therefore, it is of utmost importance to detect and handle them as soon as possible so as to minimize the negative impact on a network’s performance. The optimization of neural networks would be especially …

Accessibility Fairness Practices In Ai Applications For People With Disabilities, Megan Gross

Master's Theses

Advancements in artificial intelligence (AI) improve the lives of people every day with tools like the auto-captioning of videos, improved screen-reader capabilities, and advanced mobility control through speech. However, are all groups of people benefiting from AI or are some being overlooked and left out? Although AI tools made for people with disabilities (PWDs) have improved their lives, AI for the general population generally ignores the experiences of PWDs, making them unable to interact with and benefit from technology. This research evaluates ChatGPT and Gemini in Gmail for usability fairness and analyzes how current regulations and development processes fail to …

Diagrammatic Methods For Calculating Correlation Functions In Low-Dimensional Quantum Gravity, Nicholas A. Parrilla

Master's Theses

This thesis investigates connections between random matrix theory and low-dimensional quantum gravity through the spectral form factor (SFF), a well-studied function that characterizes correlations in the eigenvalue spectrum of an operator. In random matrix ensembles, a feature of the SFF known as the “ramp” is governed by universal spectral correlations, and in Jackiw–Teitelboim (JT) gravity this regime is due to the double-trumpet wormhole geometry. We study the connected correlation functions underlying the SFF using combinatorial, diagrammatic methods from a mathematical formalism known as second-order free probability theory, where they are expressed in terms of annular noncrossing permutations. To access a …

Rewriting The Calculus 3 Workshop At San José State University, Moorea Lippert

Master's Theses

Calculus 3 at San José State University is a very important course for any student pursuing a STEM degree. However, the course is very challenging, so the university offers a supplemental workshop course for Calculus 3 students. Unfortunately, this workshop has not aligned with modern research in math education. This thesis documents efforts to recreate the workshop to better align with this modern research.

Pipeline Optimization Of Agentic Llms For Text-To-Sql, Peter Conant

Master's Theses

Current database interfaces limit users’ interaction to those with technical skills, creating timely roadblocks for non-technical professionals. Text-to-SQL aims to simplify database interactions by translating natural language questions into database queries, but long-standing challenges like question understanding, question-schema linking, and SQL generation have held the field back. In the AI era, foundational LLMs prove to be very capable of question understanding SQL, perform well in Schema Linking, Generation, and Evaluation tasks. However the cost to run these model is a hurdle for many organization with low funds and resources. Text-to-SQL solutions often operate across large enterprise size databases with, and …

Early Failure Detection In Web Navigation Agents Via Closed Sequential Pattern Mining, Sergio Talavera

Master's Theses

LLM-based web navigation agents fail on the majority of tasks while consuming substantial computational resources before failure becomes apparent. This thesis investigates whether closed sequential pattern mining on the first K steps of agent execution traces can predict task failure early enough to enable meaningful computational savings with interpretable justification. We develop a two-phase system: an offline pipeline that symbolizes agent traces, extracts K-step prefixes, mines closed patterns via BIDE+, and ranks them by failure precision; and an online detector that matches live executions against the resulting pattern library. We evaluate on 1,544 MiniWoB++ traces across three open-weight language models …

The Great Return In Higher Education: Employee Perspectives Survey, Tonya P. Person

Master's Theses

The COVID-19 pandemic transformed traditional workplace structures across higher education, accelerating the adoption of hybrid and remote work arrangements. In the post-pandemic period, as universities implement or refine mandatory return-to-office (RTO) policies, understanding employee perspectives remains critical for informed decision-making. The present exploratory study investigated staff experiences with hybrid work, anticipated reactions to a five-day in-office mandate, and preferences for future work models within a large public university. Data were collected from 155 university staff members through a 12-item survey assessing perceived benefits of hybrid work, expected impact of a mandatory in-office requirement, and preferred work arrangements when given a …

Probabilistic Metric Dimension, Kyle Worley

Master's Theses

The metric dimension of a graph G is the smallest number of unique vertices (often called “marked vertices” or “landmarks”) such that each vertex has a unique distance to the marked vertices. If a set of vertices S ⊆ V (G) when marked gives all vertices unique distances, it is called a resolving set. Hence if G is a graph with a resolving set S, then for all v, u ∈ V (G) there exists s ∈ S such that d(v, s) ̸= d(u, s). The metric dimension dim(G) = min(|S|). Two widely studied variants exist, one where edges are …

Adaptive Task-Driven Lidar Point Cloud Compression For Autonomous Driving, Su Hyun Kim

Master's Theses

Autonomous-driving systems generate large LiDAR point clouds, but compression can damage the sparse object-support structure needed by 3D detectors even when reconstructions appear visually plausible. This thesis asks whether adaptive LiDAR compression can preserve downstream detection better than uniform compression by allocating more fidelity to detector-relevant regions. The main study builds a mask-aware range-image codec with an encoder-decoder bottleneck, an importance head, and an adaptive quantization variant. It compares this adaptive variant package with a confirmed masked uniform baseline under one fixed RangeDet evaluation surface and one fixed KITTI validation subset. Two supporting studies bound the result: a projection-reconstruction PointPillars …

"Girl I'Ll Figure It Out": First-Generation Women Of Color Navigating Higher Education, Prisilla Cortez

Dissertations

This qualitative study focused on understanding the experiences of first-generation women of color at a California public four-year institution and how their intersecting identities shape their academic experiences and overall well-being. Women of Color Feminist (Crenshaw, 1991), and intersectionality frameworks guided this study. Semi-structured interviews were used to collect data, and thematic analysis was used to identify patterns in participants’ experiences. Findings revealed three central themes, collective orientation and familial expectations, faculty interactions and sense of belonging, and institutional resources and access. Participants described navigating higher education while balancing family responsibilities, financial pressures, and academic demands. Although they demonstrated resilience …

Examining Beliefs Of State Department Of Education Directors Of Assessment Regarding Standardized Testing, Sara L. Kendallen

Dissertations

Directors of assessment in state departments of education are tasked with the planning and oversight, including development, field-testing, validation, and operationalization of statewide assessments. At the state level, directors of assessment are pivotal to a department of education’s ability to meet state and federal testing requirements. Directors of assessment hold their own opinions and beliefs, which may or may not be aligned with current adopted policies. The beliefs of those in state level educational bureaucracies about standardized testing has not been well-researched. It is hoped that this research will add to the greater understanding of statewide assessment. The goal of …

Can Curriculum Improve Confidence? Examining The Impact Of The Implementation Of The California Math Framework On Math Anxiety Levels Of Preservice Teachers In California, Amanda Lubbs

Dissertations

In 2010, the state of California adopted the Common Core State Standards (CCSS) as an effort to ensure students were graduating high school as college and career ready. Shortly after, in 2013, the California Board of Education adopted the California Math Framework (CMF) as a tool for schools to implement the CCSS for Mathematics (CCSSM). Its recommendations incorporated research-based techniques to alleviate math anxiety through the use of explorative learning experiences that help students understand math skills in applied contexts, and by de-emphasizing rote practice and memorization. This study inquires about the framework’s effectiveness in mitigating math anxiety among pre-service …

"A Door To The Future." A Case Study In Exploratory And Culturally Sustaining Theater Curriculum, Verónica Meza

Dissertations

This study addresses the persistent inequities in access to quality arts education for Latino immigrant and linguistically diverse communities in California. Despite progressive initiatives such as Proposition 28 (The Arts and Music in Schools Act) and the California Arts Council's Racial Equity Statement, systemic barriers prevent Latino and immigrant students from benefiting equitably from the arts. The central objective of this project is to understand how an exploratory, culturally sustaining theater curriculum can serve as a transformative and healing vehicle for adult immigrant Latino students, providing emotional protection, cultural affirmation, and language preservation within a U.S. educational context. This qualitative …

An Untouched Gem: Understanding Parental Perceptions On Community College Attendance, Harshdeep Singh Nanda

Dissertations

Community colleges serve as critical entry points into higher education, yet they continue to carry stigma, particularly within affluent communities where four-year institutions are often positioned as the expected pathway. While existing research has examined student and public perceptions, little attention has been given to how parents in affluent regions shape and transmit these narratives. This study investigated how parents in an affluent region of the San Francisco Bay Area perceive community college as a starting point for their children’s academic careers and how parents may contribute to shifting those perceptions. Using a convergent parallel mixed methods design, survey data …

Understanding The Impact Of Transfer Orientation Leadership: Student Leader Perspectives At A Mid-Sized California University, Kaci Taylor Turpin

Dissertations

Community college transfer students represent a vital source of diversity for public four-year institutions; at the same time, declining enrollments heighten the need for stronger, more functional transfer pathways between community colleges and four-year universities, especially given the significant vertical transfer gap and the unique barriers transfer students face in student leadership roles. This semi-structured interview study explored the experiential knowledge of 14 first-generation transfer student orientation leaders to understand how they navigate institutional barriers in their on-campus employment. Findings reveal that these leaders navigated institutional barriers by relying on peer networks and drawing heavily on their navigational capital. Furthermore, …

Application Of Machine Learning For Correcting Defect-Induced Neuromorphic Circuit Inference Errors, Vedant V. Sawal, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

This paper presents a machine learning-based approach to correct inference errors caused by stuck-at faults in fully analog ReRAM-based neuromorphic circuits. Using a Design-Technology Co-Optimization (DTCO) simulation framework, the study models and analyzes six spatial defect types - circular, circular-complement, ring, row, column, and checkerboard - across multiple layers of a multi-array neuromorphic architecture for handwritten digit recognition tasks. It is demonstrated that the proposed correction method, which employs a lightweight neural network trained on the circuit's 10 output voltages, can improve inference accuracy from 55% to 90% (+ 35 percentage points) in highly degraded defective scenarios. Results show that …

Determinants Of The Abuse Of Artificial Intelligence For Academic Purposes Among Nigerian University Undergraduates, A.M. Adegbore, Solomon Oluwaseun Ojedeji, Ihezie Donatus Ukpabi, Taofeek Gbolahan Muibi, Bamikole Abel Fashogbon, Adebola Kehinde Ojo

Library Philosophy and Practice (e-journal)

Abstract

Rationale

The misuse of Artificial Intelligence (AI) is becoming prevalent in academia, particularly among undergraduates. This situation could undermine the main objective of education at the university level, which is aimed at building future professionals for general development. This study examined the determinants of the abuse of artificial intelligence (AI) for academic purposes among Nigerian university undergraduates, with particular focus on federal universities in Southwestern Nigeria.

Material and method

A descriptive survey of the correlational type was adopted. The population comprised 233,454 undergraduates, from which a sample size of 1,593 students was selected using a multi-stage sampling technique involving …

Prepration And Characterization Of Alginate Biocomposite Films From Natural Seaweed Containing Glycerol And Silica, Bahareh Ebrahimi Mojaveri

Master's Theses

This study focuses on the development of sodium alginate, a seaweed-derived biopolymer, as a sustainable alternative to conventional food packaging films. The alginate is extracted from natural brown seaweed with a yield of 31% and is formed into alginate films by the solution casting method. This study discusses the alginate extraction and film formation techniques as well as the conditions that affect film properties. Additionally, it explores using composite formulations to enhance alginate properties through additives such as glycerol and silica. Glycerol, tested at different concentrations (15, 25, and 50 wt.%), works as a plasticizer to enhance the flexibility of …

Pick Up The Pieces: Multicultural Men’S Experiences Of Represenentation And Belonging In Higher Education, Lucion Armani Fuller

Master's Theses

To examine how multicultural students experience identity, representation, and belonging within U.S. higher education structured around monoracial classification systems, the present study interviewed six self-identified multicultural male college students. Drawing on Frantz Fanon’s concept of identity fragmentation and Critical Multiracial Theory, the study explored how institutional categorization and racialized perception shape lived experiences of identity formation and misrecognition. Using semi-structured interviews and reflexive thematic analysis informed by interpretive phenomenology, participant narratives were analyzed to understand how identity is negotiated within institutional spaces. The study has three themes. The first is experiencing imposed identity and racial misrecognition. The second is navigating …

Broadening Replication Standards For Vignette Studies: Introducing Contextually Appropriate Replications, Birgit Schyns, Gretchen Vogelgesang Lester, Michelle M. Hammond

Faculty Research, Scholarly, and Creative Activity

Vignette studies present specific challenges for replications, yet vignettes are a popular choice for replication studies in leadership. In our review of eight vignette-based leadership publications, only two were able to fully replicate the original study's findings. We suggest that part of the failure to replicate the results of vignette studies may be due to a misalignment between the vignettes and social reality at the time of data collection. This paper highlights the challenges vignettes present due to societal progression and includes recommendations regarding potential methodological artifacts including the appropriateness of the sample, vignette content, and modality. We first discuss …

A Step-By-Step Shor's Algorithm Walkthrough: From Theory To Implementation, Trung Nguyen, Samuel Petruescu, Shrikant Jadhav, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Quantum computing is inherently abstract and often counterintuitive from the perspective of classical physics. For learners to develop a deeper understanding, it is useful to study a practical example thoroughly, from its mathematical formalism to quantum circuit implementation. Shor's algorithm for period finding, which can then be used for prime factorization, is demonstrated in this paper due to its practical significance. While numerous publications on Shor's algorithm exist, they tend to focus on advanced theoretical analysis, specific implementation details, or narrowly defined research aspects; consequently, they are often not well-suited for educational purposes for beginning and intermediate learners. This paper …

Visual-Motor Coordination In Automated Driving: Effects Of Temporal Urgency And Motor Demand On Intervention Behavior, Kailin Cui, Jonathan Chiu, Pranav Meda, Gaojian Huang, Yue Luo

Faculty Research, Scholarly, and Creative Activity

Occupational Applications: This study shows that time-critical automation intervention requests increase drivers’ visual-motor demands, reflected in measurable changes in driving performance and posture (i.e., limb engagement and trunk positioning) during transitions of control. These responses indicate that maneuver urgency and takeover timing can place elevated biomechanical and coordination demands on drivers, particularly in work-based automated driving. For ergonomics and human factors practice, the findings underscore the need to design automated transportation systems (e.g., ridesharing services) that align request timing with operators’ physical and perceptual capabilities. In occupational settings such as automated shuttles and fleet-supervised vehicles, intervention requests should provide adequate …

Lost Spirits: An Interactive Encounter With A Fractured Soul, Angela Wu

Faculty Research, Scholarly, and Creative Activity

Lost Spirits is a game prototype developed in the Godot engine, utilizing Gemini Pro, a Large Language Model (LLM) for rapid code generation and a local Small Language Model (SLM), Gemma 3 4B, to power AI-driven NPCs (non-player characters). The study investigates whether LLMs can democratize game development for non-technical artists and if real-time AI-driven character interaction can sustain a meaningful narrative arc without traditional branching scripts. Preliminary results suggest that AI significantly accelerates the technical pipeline—enabling the development of a functional 3D prototype within a two-month window—and facilitates rich, responsive character interactions.

Advancing Data-Driven Health Research From The All Of Us Data Training And Engagement Program, Kristi Sadowski, Debran Tarver, Jennifer Burnette, Allissa Dillman, Regina Renfro, Lafrancis Gibson, Kelli Bursey, Laura Bartlett, Nadine Bonds-Bishop, Lisa Connor, Efraín Flores-Rivera, Sarah Joseph, Yuqi He, Margaret Henderson, Savannah L. Kelley, Maletta Payne, Brett Porter, Kimberly Prosper, Melissa Rethlefsen, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Background: Fulfilling a recognized need in data skills training for academic librarians, the National Library of Medicine and the National Institutes of Health All of Us Research Program collaborated to enhance academic library workers’ skills in biomedical and public health data, as well as their library's research capacity, through the awareness and use of the All of Us Researcher Workbench. Case Presentation: The All of Us Data Training and Engagement Program for Academic Libraries (ALP) blended professional development training, hands-on learning, and peer-to-peer networking that focused on increasing knowledge of the All of Us Researcher Workbench. Activities were designed to …

Fostering Collaboration Through Learning Communities: A Case Report On Engaging With All Of Us Data Among Library Professionals, Faculty, And Students, Zachary Mcniece, Dawn Hackman, Nick Szydlowski, Yuqi He

Faculty Research, Scholarly, and Creative Activity

Background: Research data services (RDS) have expanded in academic libraries but can be challenging to develop, particularly in teaching-intensive and less-resourced institutions. Learning communities offer a promising model for building skills, fostering collaboration, and aligning services with local needs. Case Presentation: This case report describes the development and implementation of three learning communities—a library group, a faculty group, and a student group—at a teaching-focused institution. These communities brought together library professionals, faculty, and students from diverse disciplines—including health sciences, education, data science, and engineering—to collaboratively explore the All of Us dataset. By working with the same dataset, participants were able …

An Automated Surrogate-Assisted Optimization Framework For Rapid Microfluidic Channel Design Of Point-Of-Care Diagnostic Devices, Ronald Jose, Yunjian Qiu, Lin Jiang, Yun Wang

Faculty Research, Scholarly, and Creative Activity

Saliva-based point-of-care diagnostic devices provide accessible, non-invasive health monitoring but face engineering challenges in ensuring reliable, cost-effective performance outside laboratory settings. Traditional design approaches rely heavily on repeated cycles of simulation, design, and prototyping, creating computational bottlenecks that slow innovation. This work introduces an automated surrogate-assisted optimization framework that integrates multiphysics simulation data, surrogate modeling, and multi-objective optimization to accelerate microchannel design. Synthetic datasets generated through multiphysics simulations are used to train a neural network surrogate model capable of predicting flow performance metrics, including the Dean number and pressure drop. This trained model achieved a mean squared error of 0.000012 …