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From In-The-Head To In-The-World: Frameworks For Understanding And Applying Computational Thinking, Justin Olmanson, Gretchen K. Larsen, Azadeh Hassani May 2025

From In-The-Head To In-The-World: Frameworks For Understanding And Applying Computational Thinking, Justin Olmanson, Gretchen K. Larsen, Azadeh Hassani

Department of Teaching, Learning, and Teacher Education: Faculty Publications

In the five decades since Papert coined the term Computational Thinking (CT), it has become a core framework for thinking about learning, problem-solving, design, and creativity. Although CT is most commonly, and initially, associated with the cognitive orientations involved in coding and learning to code, it also includes situated and critical processes related to computational problem solving. Herein we unpack ways researchers in different fields and points in time have organized CT. We include creative coding as a uniquely generative lens for rethinking CT, outlining its potential as an expressive, constructionist, and culturally situated practice. In doing so, we explore …


Autonomous Search And Rescue: Real-Time Drone And Robotic Dog Integration, Robert Alexander May 2025

Autonomous Search And Rescue: Real-Time Drone And Robotic Dog Integration, Robert Alexander

Electrical Engineering and Computer Science (MS) Theses

Common robotic navigation techniques often utilize GPS to set up the robot’s reference frame, which is not possible in environments, such as indoor facilities, underground passages, and disaster zones, where GPS is not available. This research explores the integration of a Boston Dynamics Spot robot with a Tello drone to form a non-GPS-based autonomous navigation system. By leveraging coordinate transformation logic, this study enables real-time aerial reconnaissance and ground-based waypoint navigation without reliance on GPS. The methodology includes software development using the Spot SDK and Tello APIs, a virtual networked solution for integration, and an experimental setup to validate navigation …


Reducing Stigma Around Neurodiversity Through The Use Of Celebratory Technology Ice Breakers In First-Year Undergraduate Classrooms, Briana Craig May 2025

Reducing Stigma Around Neurodiversity Through The Use Of Celebratory Technology Ice Breakers In First-Year Undergraduate Classrooms, Briana Craig

Electrical Engineering and Computer Science (MS) Theses

Celebratory technology for Neurodiversity is a new paradigm in the field of human computer interaction; it focuses on reducing stigma surrounding neurodivergent labels and behaviors. Celebratory technology aims to highlight the strengths of neurodiversity rather than fixing socially undesired traits, shifting the responsibility for change from neurodivergent individuals to society's attitudes. Stigma reduction can be accomplished through providing high quality interactions, where anyone can meet and learn about positive traits in others as well as learn of interests' others have in common, thus reframing neurodivergence as inclusion in human diversity rather than a condition to be stigmatized or objectified. This …


From Seasonality To Causality: Understanding Urban Water Usage Using Statistical And Machine Learning Models, Kelsey Hawkins May 2025

From Seasonality To Causality: Understanding Urban Water Usage Using Statistical And Machine Learning Models, Kelsey Hawkins

Electrical Engineering and Computer Science (MS) Theses

This study examines the relationship between climate conditions and residential water usage, focusing on how seasonal and environmental changes influence water consumption. Utilizing data from over 100,000 households across three micro-climate zones for over a five-year period, we apply statistical analysis and machine learning techniques to assess the impact of temperature, precipitation, evapotranspiration, and location on water usage. By integrating climate and billing data, this research provides a data-driven approach on water usage behaviors in Irvine, CA, in collaboration with Irvine Ranch Water District (IRWD).

Our analysis utilizes time series modeling, including a Seasonal Autoregressive Integrated Moving Average (SARIMA) and …


Implementation Of Residual Tandem Neural Networks For Photonic Inverse Design, Ponthea A. Zahraii May 2025

Implementation Of Residual Tandem Neural Networks For Photonic Inverse Design, Ponthea A. Zahraii

Electrical Engineering and Computer Science (MS) Theses

Deep-learning approaches can greatly benefit the modeling and design of nanophotonic and optical structures. Traditional full-wave simulations are time and resource-intensive, which can act as a bottleneck in photonic design. On the other hand, deep-learning approaches for designing the response of nanophotonic geometries can be computationally inexpensive and produce accurate and efficient results. In this project, we specifically investigate the case of optical forces near meta-structures. We propose using an inverse design approach with residual blocks to account for the deep nature of this architecture and inherently address the non-uniqueness problem. A tandem approach, which consists of two interconnected models, …


Connecting The Montessori Philosophy Through Edtech, Olivia Chilvers May 2025

Connecting The Montessori Philosophy Through Edtech, Olivia Chilvers

Electrical Engineering and Computer Science (MS) Theses

This thesis explores the evolving landscape of Educational Technology (EdTech) and examines how the Montessori educational philosophy is translated into digital learning environments. The study aims to identify design implications for children’s educational applications (apps) that seek to align with Montessori principles and what aspects of a Montessori-based application excel over a non-Montessori-based application. A qualitative thematic analysis was conducted using a custom-developed codebook to analyze user reviews posted by guardians of children on the Apple App Store. These reviews pertained to apps identified as Montessori-based, either through explicit labeling or meta-data. In addition to this review analysis, a user …


An Analysis Of Bias Towards Women In Large Language Models Using Likert Scale Evaluations, Sarah T. Fieck May 2025

An Analysis Of Bias Towards Women In Large Language Models Using Likert Scale Evaluations, Sarah T. Fieck

Electrical Engineering and Computer Science (MS) Theses

Closed-source large language models (LLMs) developed by large technology companies continue to grow in popularity. However, ethical conversations surrounding the safety of model outputs have been a prominent topic of discussion. This project aims to assess three leading closed-source LLMs: OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude, to analyze how their outputs perform when treated as a subject of several psychological evaluation scales measuring biased behaviors against women. The Ambivalent Sexism Index, Modern Sexism Scale, and Belief in Sexism Shift evaluations were used to get descriptions of how the LLMs respond to traditional and modern prompts involving sexism and gender …


A Narrative-Focused Machine Learning Approach To Predicting Feature Film Success, Arisa T. Trombley May 2025

A Narrative-Focused Machine Learning Approach To Predicting Feature Film Success, Arisa T. Trombley

Electrical Engineering and Computer Science (MS) Theses

For decades, the field of film production has been driven by marketability, and it has relied on gut feelings and subjectivity to produce feature films. The analysis of the relationship between a screenplay’s narrative and a film’s success has been widely overlooked due to the challenges involved in data acquisition and complexity. This study investigates the predictive power of narrative structure on film success and aims to build evidence for hypothesized narrative principles. The results suggest that narrative structural elements exhibit moderate predictive power, with strong support for the alignment of the 2nd act crucial moments and the 2nd act …


Standardizing Wind Energy Project Bid Process, Phillip Ilarion Pletnikkoff May 2025

Standardizing Wind Energy Project Bid Process, Phillip Ilarion Pletnikkoff

Student Projects for Graduate Degrees

The SWEPP initiative addressed critical inefficiencies in STG Inc.'s wind energy project bidding. Previously, fragmented practices led to unpredictable outcomes and ineffective knowledge utilization. The project developed two key deliverables through stakeholder analysis: a Comprehensive Bidding Guide and a Lessons-Learned Integration System. The Bidding Guide establishes standardized templates and processes while maintaining flexibility for customization. The Lessons Learned System captures and applies insights from past projects, transforming individual experience into organizational knowledge. Despite initial resistance from experienced professionals, an inclusive approach incorporating their expertise helped overcome implementation challenges—the modular design balanced standardization with flexibility to address diverse requirements. Early results …


Application Of Project Management To Develop A Multifunctional Wheelchair Mount In The Non-Profit Sector, Ruger Johnsen May 2025

Application Of Project Management To Develop A Multifunctional Wheelchair Mount In The Non-Profit Sector, Ruger Johnsen

Student Projects for Graduate Degrees

There are currently few commercially available multi-function accessory mounts for electric wheelchairs that are practical for high-level quadriplegics. Consequently, an individual user must design and create one for themselves, an undertaking that requires significant resources in the form of expertise, time, and money. Wes Price, a quadriplegic, has developed a concept mount for operating a hunting rifle. This project optimized the proof-of-concept by building a prototype and completing a design that can be offered to the public. The primary tasks and deliverables of this project include: 1) Research and develop improvements to the proof-of-concept and prototype 2) Fabricate prototypes 3) …


Survey On Application Of Large Language Models In Network Attack And Defense, Prisha Purohit May 2025

Survey On Application Of Large Language Models In Network Attack And Defense, Prisha Purohit

Honors Theses

The emergence of Large Language Models (LLMs) has significantly transformed the technological and cybersecurity landscape, introducing both unprecedented opportunities and formidable challenges. With the public release of ChatGPT in 2022, LLMs have gained global prominence, redefining natural language processing capabilities and enabling advancements across various fields. In cybersecurity, these models represent a dual-use technology: while they offer powerful tools for threat detection, automated analysis, and security training, they also pose risks when leveraged by malicious actors for phishing, social engineering, and the creation of evasive malware. This thesis presents a comprehensive literature review exploring the dual roles of LLMs in …


Bridging The Nature Gap: Understanding Barriers And Promoting Outdoor Engagement Among African Americans In Chattanooga, Kennie Almonor May 2025

Bridging The Nature Gap: Understanding Barriers And Promoting Outdoor Engagement Among African Americans In Chattanooga, Kennie Almonor

Honors Theses

This paper outlines my process of writing a physical guidebook for outdoor engagement in Chattanooga. It explores the historical context of Black exclusion from outdoor spaces and examines the health disparities that disproportionately affect Black communities. The physical connection between outdoor activity and overall well-being will also be explained. Additionally, this paper details my methodology for conducting focus groups to better understand barriers to outdoor engagement and how participant insights could inform the guidebook’s development. This paper also outlines my research on best practices for structuring an effective guide, writing process, challenges faced, and considerations for extending this project in …


Synthesis Of Single Chain Polymer Nanoparticle Networks By Reinitiating Raft Polymerization, Dallas Donovan May 2025

Synthesis Of Single Chain Polymer Nanoparticle Networks By Reinitiating Raft Polymerization, Dallas Donovan

Honors Theses

Hydrogel materials, which are polymer networks comprised mostly of water, hold significant promise for biomedical applications due to their compatibility with biological systems. Conventional hydrogel materials are often brittle and weak, but most applications in biomedical systems require materials to be strong and tough. The topology of a polymer network dictates its mechanical properties. An important strategy for designing tougher hydrogels is the release of stored length, such as from the unfolding of polyprotein cross-linkers. Inspired by the success of the strategy, we report progress towards a fully synthetic design using single chain nanoparticles (SCNPs) into a hydrogel. SCNPs, which …


Arthroscopy And The Future Of Surgery: Personal And Public Health Benefits, Preston T. Koski May 2025

Arthroscopy And The Future Of Surgery: Personal And Public Health Benefits, Preston T. Koski

Honors Thesis

Arthroscopy focuses on operating on the body using probes and working through keyhole incisions on the skin. This rapidly evolving field has seen many innovations in its technology, aided by advances in optical and surgical capabilities. Moreover, it presents many advantages over traditional surgery that directly impact the patient. Shorter recovery time and lessened scarring, reduced postoperative pain and opioid dependence, and less risk of infection are key benefits over open surgery. These benefits can also be applied to areas of public health. Minimizing the burden on hospital resources, reducing the environmental impact of surgery, and improving cost-effectiveness in healthcare …


Sonochemically Synthesized Zno Nanowires (Nws)-Based Sensor For Non-Invasive Glucose Detection In Sweat, G. M. Mehedi Hossain, Ahmed Hasnain Jalal, Hasina Huq, Nazmul Islam, Karen Lozano, Nezih Pala, Fahmida Alam May 2025

Sonochemically Synthesized Zno Nanowires (Nws)-Based Sensor For Non-Invasive Glucose Detection In Sweat, G. M. Mehedi Hossain, Ahmed Hasnain Jalal, Hasina Huq, Nazmul Islam, Karen Lozano, Nezih Pala, Fahmida Alam

Electrical and Computer Engineering Faculty Publications

Glucose is a crucial metabolic marker, providing critical insights into energy regulation and insulin sensitivity, making its monitoring essential for managing diabetes and overall metabolic health. In this context, flexible biosensors have gained considerable attention for their potential to enable real-time and non-invasive glucose monitoring. One promising advancement in this domain is using Zinc-Oxide (ZnO) nanostructures through sonochemical synthesis. ZnO has a wide bandgap of ∼3.37 eV and a large binding energy of 60 meV. This research focuses on ZnO-Nanowires' growth for the first time on a flexible polymer substrate. The average length and diameter of the nanowires are 2.5µm …


Improving Research Software Engineering In Mathematics, Abram Miller May 2025

Improving Research Software Engineering In Mathematics, Abram Miller

Honors Theses

Research Software Engineering is critical to modern mathematical research, enabling the creation, maintenance, and dissemination of computational tools that bridge theory and practice. However, the field faces systemic challenges, including insufficient funding, lack of institutional recognition, and gaps in training and infrastructure. This thesis investigates these challenges through two approaches: (1) a comparative survey study focused on mathematicians and (2) hands-on contributions to an open-source research software project.

The Improving Research Software Engineering in Mathematics survey, conducted from September 2024 to January 2025, adapts the survey framework developed by Carver et al. in A survey of the state of the …


Reconfigurable Python Autopilot Software For Rc Aircraft, Kate Doiron May 2025

Reconfigurable Python Autopilot Software For Rc Aircraft, Kate Doiron

Honors Theses

No abstract provided.


Adversarial Voltage Transients In Multi-Tenant Fpga Environments, Andrew J. Gerber May 2025

Adversarial Voltage Transients In Multi-Tenant Fpga Environments, Andrew J. Gerber

All Graduate Theses and Dissertations, Fall 2023 to Present

A Field Programmable Gate Array (FPGA) is a special type of computer chip that can be reconfigured to implement a nearly unlimited number of functions. Recent trends have led some companies to offer cloud-based FPGA solutions. Researchers are exploring how to properly secure multi-tenant environments where the designs from two or more customers are placed on the same FPGA with logical and spatial isolation, though multi-tenancy is not yet commercially available in cloud FPGAs. The digital circuits within an FPGA require a clock to synchronize timing within the design. The maximum speed that this clock can run at is determined …


Scheduling Charging For Fleets Of Battery Electric Vehicles: Techniques For Modeling And Real-Time Operation, Justin J. Whitaker May 2025

Scheduling Charging For Fleets Of Battery Electric Vehicles: Techniques For Modeling And Real-Time Operation, Justin J. Whitaker

All Graduate Theses and Dissertations, Fall 2023 to Present

While electric vehicles (EVs) are becoming increasingly popular and can provide cost, maintenance, and environmental benefits, they present unique challenges for regular operation, especially in fleets of vehicles. The limited range, long charging times, and high power requirements of EVs complicate the operations of fleets comprised of EVs. Additionally, the charging costs of EVs can be complex, depending on the time of charging, the energy charged, and the power level of the charging session. These complex charging costs can be significantly affected by the presence of uncontrolled loads. These challenges are further complicated by the inevitable variations in the real …


Quantifying The Threshold For Fragmentation Of Newtonian And Non-Newtonian Drops, Aditya Parik May 2025

Quantifying The Threshold For Fragmentation Of Newtonian And Non-Newtonian Drops, Aditya Parik

All Graduate Theses and Dissertations, Fall 2023 to Present

This dissertation investigates how the properties of liquid drops influence the minimum aerodynamic forces needed to cause the drop to fragment (breakup). For this work, we focus only on aerodynamic forces that are applied on a stationary drop by a sudden, uniform flow, a process called impulsive acceleration. Previous studies have largely focused on the fragmentation of spherical drops of Newtonian fluids (liquids with constant viscosity, like water), when impulsively accelerated in air-like ambient medium. Such systems only capture a limited range of drop and ambient properties (described by non-dimensional groups). Many real-world applications, such as aerial fire retardant delivery, …


Calculation Of Aerodynamic Surface Sensitivities Using The Adjoint Method In A Subsonic/Supersonic Panel Code, Nathan H. Hoch May 2025

Calculation Of Aerodynamic Surface Sensitivities Using The Adjoint Method In A Subsonic/Supersonic Panel Code, Nathan H. Hoch

All Graduate Theses and Dissertations, Fall 2023 to Present

An aircraft’s shape has a direct impact on the lift and drag it produces. In the early stages of designing an aircraft on a computer, engineers work to improve aircraft performance and efficiency by considering various shapes and configurations. Engineers use computer programs to analyze different designs and predict how each would perform in real-world conditions. Once an approximate aircraft shape is selected, adjustments to the shape can further improve the aircraft’s lift and drag characteristics. Engineers calculate a set of values called sensitivities that indicate which parts of the geometry should be changed to increase lift or reduce drag. …


Contrastive Representation Learning For Highly Imbalanced Multivariate Time Series With Extreme Instance Strategy, Onur Vural May 2025

Contrastive Representation Learning For Highly Imbalanced Multivariate Time Series With Extreme Instance Strategy, Onur Vural

All Graduate Theses and Dissertations, Fall 2023 to Present

Time series data refers to a sequence of data points collected or recorded at regular time intervals. In many fields including space weather, healthcare, and finance, predicting events from such data is crucial because these predictions can help protect infrastructures, improve healthcare outcomes, and forecast financial trends. However, one challenge in working with time series data is the presence of rare events, which are often underrepresented in the data. This imbalance makes it difficult for traditional prediction methods to provide accurate results, as they tend to focus more on the more frequent events and overlook the rare ones. To tackle …


Quantifying Buoyancy-Driven Exchange Flows Over Obstacle At The Great Salt Lake Using Rans Cfd, Mohammad Ikram Hossain Talukdar May 2025

Quantifying Buoyancy-Driven Exchange Flows Over Obstacle At The Great Salt Lake Using Rans Cfd, Mohammad Ikram Hossain Talukdar

All Graduate Theses and Dissertations, Fall 2023 to Present

This study examines how barriers, such as berms, affect the movement of water in the Great Salt Lake in Utah. The lake experiences two types of water flow: one, called a unidirectional gravity current, where denser water flows in a single direction, and another, known as buoyancy-driven exchange flow, where water flows in two opposite directions due to differences in both water density and surface elevation. These flows are important for understanding how water mixes and moves between the northern and southern parts of the lake. Using computer models, we simulated how these two types of water flows behave when …


Investigating Stability Of Cone-Derived Hypersonic Waverider Vehicles Via Design Space Exploration, Adam S. Weaver May 2025

Investigating Stability Of Cone-Derived Hypersonic Waverider Vehicles Via Design Space Exploration, Adam S. Weaver

All Graduate Theses and Dissertations, Fall 2023 to Present

It may come as no surprise that man-made objects flying at 5, 10, or even 25 the speed of sound (termed hypersonic) are difficult to design, inefficient in flight, and expensive to deploy. Most hypersonic vehicles are effectuated in ballistics, which simplify aerodynamic considerations owing to their fixed trajectory. However, maneuverable hypersonic vehicles can revolutionize commercial flight, national defense, and space travel. One candidate for such missions are waverider vehicles. Waverider vehicles cruise on a cushion of air generated by its own shock wave, essentially enjoying extra lift without any extra drag penalties (which are usually inherent to extra …


Nursing Faculty Experiences Of Teaching Dementia Care: A Transcendental Phenomenological Study, Jeannie Simpson May 2025

Nursing Faculty Experiences Of Teaching Dementia Care: A Transcendental Phenomenological Study, Jeannie Simpson

Doctoral Dissertations and Projects

The purpose of this phenomenological study was to explore the experiences of nursing faculty teaching dementia care to nursing students in Texas. The theory guiding this study was Kolb’s experiential learning theory as it offers a structured framework for examining how experiences lead to learning. This theory also introduced the concept of the Experiential Educator profile, specifically delineating the role of educators in facilitating knowledge acquisition (Kolb, 2014). This study bridged the gap in existing literature regarding the experiences of nursing faculty in teaching dementia care to nursing students and provided a comprehensive look at dementia education in nursing schools. …


Researching Research Leaders: A Qualitative, Phenomenological, Transcendental Study Of University Institutional Official Relations With Stakeholders Using The Competing Values Framework, Sara Grano May 2025

Researching Research Leaders: A Qualitative, Phenomenological, Transcendental Study Of University Institutional Official Relations With Stakeholders Using The Competing Values Framework, Sara Grano

Doctoral Dissertations and Projects

The purpose of this qualitative, phenomenological, transcendental exploratory study was to understand institutional officials’ (IO) lived relational leadership experiences with internal and external stakeholders with competing values in U.S. research universities. The competing values framework guided the study to investigate IOs’ lived experiences when relating to diverse stakeholders in research universities. The central research question asked was what are the experiences of IOs in research universities when practicing relational leadership with diverse stakeholders with competing values? Ten participants were recruited for this qualitative study using the purposeful sampling and then snowball method of recruiting. The elite participants had experience serving …


Transitions Of Faith: Navigating Pastoral Changes In Small African American Churches, Joshua O. Dixon May 2025

Transitions Of Faith: Navigating Pastoral Changes In Small African American Churches, Joshua O. Dixon

Doctoral Dissertations and Projects

This phenomenological study explored the lived experiences of African American pastors aged 65 and older as they navigate leadership transitions within small churches in Florida. These churches, characterized by the absence of formal succession planning support from a parent organization, serve as critical pillars in their communities. Guided by Bridges' Transition Theory, this research investigated the emotional, psychological, and spiritual dimensions of pastoral transitions, focusing on the stages of 'Ending, Losing, and Letting Go,' 'Neutral Zone,' and 'New Beginning' (Bridges, 1980). Data collection methods included a pre-qualifying survey, individual interviews, and focus group discussions, analyzed through thematic analysis supported by …


The Use Of Intellectual Humility As A Framework For Elementary School Teachers In The Development Of Positive Parent-Teacher Relationships, Ralinda Aspey May 2025

The Use Of Intellectual Humility As A Framework For Elementary School Teachers In The Development Of Positive Parent-Teacher Relationships, Ralinda Aspey

Doctoral Dissertations and Projects

Although the educational and psychological communities have identified the importance of the parent-teacher relationship to the academic success and social benefit of students, difficulties continue to persist in identifying specific strategies for building positive relationships between parents and teachers. This phenomenological study explored the lived experiences of seven elementary school teachers in public schools to examine whether intellectual humility manifested in their reported ability to develop positive relationships with parents. A semi-structured interview with participants revealed seven overarching themes evident in their experiences with parents which align with the construct of intellectual humility. These themes include Proactive Communication, Openness to …


Technological Attitudes, Social Media Usage, And Work Ethics Among Educators, Roshani Kundaria May 2025

Technological Attitudes, Social Media Usage, And Work Ethics Among Educators, Roshani Kundaria

Doctoral Dissertations and Projects

This study examines the relationship between social media use, technological attitudes, and work ethics among K-12 educators in the United States. With the COVID-19 pandemic forcing many educators to transition to remote work and online teaching, individuals have more online presence and social interactions. Understanding how these interactions influence the values associated with work is essential. The decision to utilize a particular social media platform for personal use depends on educators’ individual needs, preferences, and circumstances. Positive and negative attitudes toward technology usage and dependence on technology were examined. The researcher found a negative correlation between technological attitudes and social …


Citizenship Christian Values Education Empowerment In Papua New Guinea Through Integration Of Curriculum, Funding, And Professional Training, Timothy Hawes May 2025

Citizenship Christian Values Education Empowerment In Papua New Guinea Through Integration Of Curriculum, Funding, And Professional Training, Timothy Hawes

Doctoral Dissertations and Projects

Since 2018, the Papua New Guinea Education Department has opened the door for Christian Citizenship Value Education, but previously, no organization has successfully addressed this opportunity. The problem is that the CCVE program in PNG does not integrate curriculum, funding, and professional training. The purpose of this DMIN action research project is to develop and deploy the CCVE Empowerment plan. Through a survey given to CCVE teachers and multiple focus groups with six different CCVE leaders, the CCVE Empowerment plan was developed. The plan included a new organizational structure, the prayer model, the self-teaching student journals, sufficient funding, and applied …