Digital Commons Network^™

Growing Our Own Garden: The Implementation Of Cross Curricular And Cross Grade Level Teacher Rounds To Increase Professional Learning Individualization And Feedback, Logan Greene

All Dissertations

Educators are constantly faced with balancing the demands of teaching and professional learning expectations from their districts. Concurrently, administrators are routinely prevented from providing adequate feedback for classroom instructional practices with observations instead focused upon generic and formulaic checks for classroom activities. This results in a gap of intentional professional learning and growth for educators.

The idea of instructional rounds sought to provide teacher-to-teacher feedback for educators to grow their practice together. The original theory focused on groups of teachers operating under a school or district goal of improvement. Instructional rounds have shown positive effects for teacher happiness and student …

Teacher Self-Efficacy And Student Engagement In Rural Science, Technology, Engineering, And Mathematics Magnet Schools: A Correlational Study Within An Improvement Science Context, Deirdre L. Appleby

All Dissertations

Teacher self-efficacy in magnet-themed integration represents a critical, district-influenceable condition shaping instructional experiences in rural Science, Technology, Engineering, and Mathematics (STEM) magnet programs. Persistent under-enrollment of Black, Latinx, and economically disadvantaged students in these settings highlights ongoing inequities in access and participation that may be influenced by upstream instructional conditions. Grounded in Bandura’s Social Cognitive Theory and situated within an improvement science framework, this study examines teacher self-efficacy as a key system-level factor associated with student engagement.

This study employs a correlational research design within an improvement science context to examine the relationship between changes in teacher self-efficacy and changes …

Technology Enhanced Math Instruction And Student Achievement, Barbara Warren

All Dissertations

ABSTRACT

This study examines how one teacher in a large rural high school in South Carolina integrates an AI technological intervention as a supplemental tool, specifically as part of blended learning, to help increase math achievement for students in Geometry with Statistics.  Evidence-based interventions, such as technology enhanced math instruction, encompass a diverse range of tools used by teachers, including an AI-driven high-dose tutorial which is a tool that educators use to diagnose, teach, and assess targeted skills.  The key to the success of the AI tutorial is that it is programmed to use evidence-based practices (Fesler et al., 2026) …

From Passive To Active Learning: How Building Thinking Classrooms (Btc) Strategies Shape Teacher Perceptions Of Student Social-Emotional Development, Diane Maria Leja

Doctor of Education (Ed.D.)

This qualitative Improvement Science Dissertation in Practice examined how Building Thinking Classrooms for Social-Emotional Learning (BTC-SEL), an instructional approach adapted from Liljedahl's (2021) mathematics framework, could strengthen SEL instruction in Connecticut elementary schools. The study addressed a persistent problem of practice in which traditional SEL delivery fails to engage the students most in need of support, particularly Black and Hispanic/Latino students, students with disabilities, and students from economically disadvantaged backgrounds. Grounded in engagement theory, cognitive load theory, and social constructivism, the three-month intervention supported six elementary teachers across three Connecticut districts, including schools from District Reference Groups I and D …

Confronting Founding Injustices: Reconstructive Constitutional Adjudication And Constitutional Legitimacy In Postcolonial States, Mutasim Abuzeid

International Studies (MA) Theses

Why do some postcolonial constitutions achieve higher constitutional legitimacy than others? Across the Global South, constitutions have proliferated while legitimacy remains uneven and contested. Existing scholarship explains variation in constitutional legitimacy in postcolonial states through three dominant paradigms. Institutionalist theories equate legitimacy with procedural design and endurance, presuming that stable institutions generate compliance and, over time, diffuse support. Transformative constitutionalism locates legitimacy in social justice, emphasizing judicial doctrines such as proportionality and reasonableness to advance equality and material inclusion. Transitional justice approaches, by contrast, locate moral repair largely outside constitutional law—through truth commissions, reparations, and memory projects—often leaving the constitutional …

Agent-Based Modeling Of Cellular Dynamics In Adoptive Cell Therapies, Yujia Wang

Dissertations and Theses (Open Access)

Adoptive cell therapies (ACT) have shown promising progress in combating cancer, but clinical responses remain heterogeneous. Key determinants, including the functional states of infused cells, tumor–immune interactions, and dosing strategies, are difficult to resolve experimentally in the dynamic and heterogeneous tumor microenvironment, limiting optimization of ACT products and treatment regimens. To address the gap, we developed ABMACT (Agent-Based Model for Adoptive Cell Therapies), a computational framework that reconstruct key cellular functions, interactions, and molecular signatures to recapitulate cell population dynamics associated with differential treatment responses. ABMACT encodes autonomous “virtual cells” using literature-informed rules calibrated with experimental data, enabling simulation of …

Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta

Dissertations and Theses (Open Access)

In liver-directed radiotherapy (RT), liver regions receiving higher doses typically undergo atrophy while contralateral/adjacent lower-dose regions may exhibit compensatory hypertrophy through regeneration of healthy tissue. Optimizing the RT plan to promote regional hypertrophy while minimizing the risk of developing atrophy has the potential to enhance post-RT liver function and long-term survivorship. However, current clinical practice largely relies on global liver dose-volume metrics during RT-planning, which may obscure favorable dose-response correlation and limit actionable guidance for clinicians. Therefore, we hypothesized that post-RT regional liver response is governed by a combination of region-specific dose-volume and patient clinical features, and that these responses …

Oxidative Stress Mediated Glutamate Release And Nmda Receptor-Dependent Synaptic Remodeling In Radiation-Induced Cognitive Dysfunction, Thanh Lam

Dissertations and Theses (Open Access)

In children younger than 14 years old, the brain and other parts of the central nervous system are the most common sites for solid tumors. Radiotherapy is an effective treatment for central nervous system (CNS) tumors. However, it often causes a progressive decline in cognitive functions, which is especially devastating for pediatric patients. Although post-mitotic neurons are generally considered resistant to radiation-induced immediate cell death, ionizing radiation causes complex neurochemical and structural changes that damage synaptic integrity. In this study, we examined the molecular cascades following a 10 Gy radiation dose applied to mouse cortical neurons. We found that radiation-induced …

Mutational Analysis Of Domain Functions In The Yeast Decapping Enzyme Dcp2, Jellisa Ewan, Ambro Van Hoof

Dissertations and Theses (Open Access)

In yeast, the major mRNA decay pathway involves deadenylation of the 3’ poly-A tail, followed by decapping of the 5’ m7Gppp cap and subsequent 5’ to 3’ degradation or 3’ to 5’ degradation. This is carried out by Pan2/Pan3 and Ccr4/Not deadenylases, the decapping enzyme Dcp2, and Xrn1 and  RNA exosome exoribonucleases, respectively. The eukaryotic mRNA decapping enzyme complex, Dcp1/Dcp2, is essential in yeast, and deletion of either gene is lethal. However, the deadenylases that act upstream and the 5’ exoribonuclease that act downstream of the decapping step are not, even though they are all highly conserved with no known …

Endotyping Obstructive Sleep Apnea In Infants With Micrognathia, Alexis Dominic, Zarmina Ehsan, Baha Al-Shawwa Md, Karishma Rao, Blake A. Welker, Meghan Tracy, Andrew Li, Alessandra Manoylova-Vedder, Shiyuan Chen, Shu-Ching Chen, Members Of The Data Science And Analytics Innovation Center (Dsaic), John P. Dahl, Janelle Noel-Macdonnell

Posters

No abstract provided.

Effects Of Peer-Mediated Constant Time Delay Instruction On Science Vocabulary Acquisition For Students With Moderate Intellectual Disabilities, Amy S. Roberts

Electronic Theses and Dissertations

This study examined the effectiveness of combining peer-mediated embedded instruction with constant time-delay (CTD) procedures to improve Agriscience vocabulary learning among secondary students with moderate intellectual disability who were educated in an inclusive Agriscience classroom. A multiple-probe across participants design was conducted with three students with moderate intellectual disability. Trained peer tutors provided embedded vocabulary instruction during naturally occurring classroom activities. Results showed an increase in independent correct responding for all participants following the implementation of the intervention. Procedural fidelity, interobserver agreement, Tau-U effect size, and social validity data further demonstrated that the intervention was implemented consistently and was viewed …

Technique-Level Normalization For Cybersecurity Intelligence: An Empirical Evaluation Of Att&Ck Attribution From Hids Alerts Using Fine-Tuned Transformers And Metadata Re-Ranking, Emad Sherif

International Journal of Cybersecurity Intelligence & Cybercrime

Cybercrime investigations increasingly depend on the ability to interpret large volumes of automated security events. For organizations without dedicated security operations centres, a situation common among small and medium enterprises, the manual translation of raw alerts into structured threat intelligence represents a critical bottleneck that slows investigative triage and limits cross-case comparability. This paper evaluates an automated enrichment pipeline designed to address this bottleneck by mapping security events to standardised adversary behaviour labels drawn from the MITRE ATT&CK framework, supporting both operational response and cybercrime investigation workflows. We compare three pipeline configurations, a general-purpose encoder model, a cybersecurity domain-adapted variant, …

Evaluation Of Dredged Sediments As A Partial Replacement For Fine Aggregate In Mortar And Concrete, Ashish Gautam

Graduate Theses and Dissertations (2019 - present)

The feasibility of using dredged sediment from the Mobile River as a partial replacement for fine aggregate in mortar and concrete was investigated through a series of laboratory characterization and performance evaluation. Three dredged sediment samples (A, B and C) were initially examined, and Sample A was selected for further evaluation due to its closer resemblance to natural fine aggregate. This sample exhibited lower moisture content, higher sand equivalent values, higher specific gravity, and lower absorption. Mortar mixtures with 0, 10, 20, 30, 50, 75 and 100% dredged sediment replacement showed decreasing workability as the replacement level increased. The 20% …

Alfred Russel Wallace Notes 42: How Accurate Are The Transcriptions Presented At The Alfred Russel Wallace Page Website?, Charles H. Smith

Faculty/Staff Personal Papers

A look is taken at the level of accuracy displayed by the transcriptions of Wallace writings offered at the Alfred Russel Wallace Page website, as determined by a ChatGPT analysis.

University Of Central Florida Undergraduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Indigenous Community Research Opportunities, Sharon Hausam, Aaron M. Canter

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

Opportunities For Leadership In Indigenous And Tribally Engaged Research At The University Of New Mexico, Sharon Hausam

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

Llm-Assisted Task-Adaptive Semantic Communication Over Non-Ideal Channels For Vision–Language Systems, Oluwagbenga Oluwapelumi Orimoogunje

All Theses

The growth of intelligent wireless systems and bandwidth-limited edge devices has created a need for communication methods that move beyond bit-level data transmission. Semantic communication addresses this by transmitting task-relevant meaning, which reduces bandwidth usage while preserving task performance. However, existing approaches often rely on frozen encoders without task feedback and are trained under fixed or ideal signal-to-noise ratio (SNR) conditions. These limitations lead to poor generalization in realistic noisy channels.

This thesis proposed a task-adaptive semantic communication framework for Visual Question Answering (VQA) over bandwidth-constrained Additive White Gaussian Noise (AWGN) channels. The system transmits a compact 16,384-dimensional semantic feature …

A Comparison Of Survival, Growth, And Stress Resilience In Three Different Lineages Of The Pacific Oyster (Crassostrea Gigas) Farmed On The California Central Coast, Victoria F. Hanshaw

Master's Theses

Aquaculture of Pacific oysters on the US West Coast is routinely impacted by seasonal unexplained mortality events. To better understand these large-scale mortality events in oyster aquaculture, shellfish growers and scientists in California have partnered together to conduct comparative, multi-estuary farm trials of discrete Pacific oyster (Crassostrea gigas) lineages. In this thesis we investigate how the more recently imported Midori lineage performs compared to the historically used Miyagi lineage, as well as a Hybrid (Midori x Miyagi) lineage. As part of a 7-month long field study from April-November of 2024 in Morro Bay and Tomales Bay, California, we evaluated …

Electromagnetic Enhancement Of A Potassium-Seeded Rotating Detonation Engine, Anthony Joseph Presto Jr.

Master's Theses

Rotating detonation engines offer a route to pressure-gain combustion by sustaining one or more detonation waves in an annular chamber supplied by continuous propellant injection. This thesis evaluates whether potassium seeding can make the high-temperature product flow of a hydrogen–air rotating detonation engine conductive enough to serve as the working fluid for magnetohydrodynamic acceleration. To the author’s best knowledge, the complete configuration modeled here has not been reported previously in open literature. This configuration consists of a hydrogen–air RDE with KOH-based potassium seeding, local conductivity estimates, and imposed Lorentz-force acceleration. The thesis therefore develops an initial computational model for this …

Sentinel: Evaluating Occlusion-Centered Next-Best-View Selection Using Rgb-Derived Pseudo-Geometry, Paul Nassar

Master's Theses

Three-dimensional cameras provide direct geometric measurements, but their cost, weight, power requirements, and calibration constraints can limit their use in various lightweight or large-scale sensing systems. A potential alternative is to use conventional two-dimensional RGB cameras together with geometric reconstruction models that infer a partial three-dimensional representation from images. This thesis evaluates that possibility for next-best-view (NBV) selection through Sentinel, an occlusion-centered system for static, object-centric scenes with known camera poses and intrinsics. Sentinel converts source RGB observations into pseudo-geometry using monocular depth or point-map predictions, combines those predictions with camera-ray evidence, identifies occluded unknown regions, and selects a candidate …

Predicting Student Belonging In Computing Education: A Multimodal Machine Learning Approach Using Eeg And Survey Data, Hannah Moshtaghi

Master's Theses

Measuring students’ sense of belonging, characterized by feelings of acceptance, inclusion, and encouragement from teachers, remains a significant challenge in computing education. Prior research has associated this multidimensional construct with positive academic outcomes and has identified instructors’ growth- and fixed-mindset messaging as a potential influence. However, belonging is a complex and deeply personal experience that is difficult to capture through direct observation alone. Current measurement methods rely on self-report surveys, which may not capture every aspect of an experience that can also involve emotional and cognitive responses.

This thesis investigates whether combining EEG data recorded during a belonging questionnaire with …

A Maintainable Extensible And Performant Compiler Toolchain For The Trustguard Architecture, Ethan N. Emery

Master's Theses

TrustGuard is a hardware architecture implementing a CAVO (Containment Architecture with Verified Output) model, which provides security guarantees by bootstrapping trust of a system to a hardware component known as the Sentry. Rather than verifying an entire system, TrustGuard re-executes trusted computation on the Sentry and validates the host system's execution before allowing values to pass to the outside world, thereby containing the effects of erroneous computation. Implementing this architecture in practice without hardware modifications to a host CPU requires a compiler toolchain capable of automatically generating instrumented binaries for both the untrusted host and the trusted Sentry from C …

Synthesis And Characterization Of Carbon Quantum Dots And Gold Nanoparticles For Norovirus Biosensing Applications In Water Systems, Breanne Evans

Master's Theses

Rapid, reliable detection of viral pathogens remains a significant challenge across water-treatment and environmental monitoring systems, including drinking-water, wastewater, water reuse, and environmental surveillance applications. Waterborne viral contamination can pose substantial public-health risks, making early detection essential for protecting water quality and responding quickly to treatment failures or contamination events. Direct potable reuse (DPR) is one particularly demanding example because it requires continuous verification of treatment performance and the broader need for rapid virus monitoring extends across many water-treatment and environmental surveillance applications. Norovirus is a priority target because of its widespread occurrence in wastewater, environmental persistence, and exceptionally low …

Comparing 3-Connectedness And Roundness In Matroid Theory, Blanca Delia Larios

Electronic Theses, Projects, and Dissertations

A matroid is a discrete mathematical object that abstracts and connects the various notions of independence found throughout mathematics. Such notions of independence include linear independence, algebraic independence, as well as notions of independence that arise in graph theory. There are many broad classes of matroids. Important examples include binary matroids, graphic matroids, regular matroids, uniform matroids, and various levels of connected matroids. Some of the most important problems in matroid theory involve characterizing classes of matroids so that such characterizations can be used to prove results concerning these matroid classes. This thesis is a study of two important classes …

Impact Of Repeated Serotonin 6 Receptor Activation On Weight And Anxiety In C57bl/6j And Btbr Mice, Pedro Flores

Electronic Theses, Projects, and Dissertations

Selective Serotonin Reuptake Inhibitors (SSRI) are the most common form of medication prescribed to people with anxiety disorders. One of the most common side effects is weight gain. This weight gain often leads to the suspension of treatment. This has led to studies focusing on specific serotonin (5-HT) receptor targets for modulating depression and anxiety. Studies examining 5-HT6 antagonist treatment have shown that they reduce body weight as well as produce brain specific changes. Less is known regarding 5-HT6 receptor agonists, although previous literature has shown that exposure to high doses produces weight loss but not at lower doses, while …

The Relativity Of Education: Student Perspectives On Artificial Intelligence In Community College, Ashley Greta Magana

Electronic Theses, Projects, and Dissertations

This hermeneutic phenomenological study examined how diverse community college students experience and make meaning of the integration of generative artificial intelligence (AI) into their educational contexts. Although AI is quickly transforming higher education through automated grading, personalized learning systems, and new models of assessment, the discourse surrounding its implementation remains dominated by administrators, faculty, and institutional stakeholders, while the perspectives of students, specifically community college students who are often historically underrepresented and economically marginalized, are systematically excluded. Most existing research is quantitative and centered on universities, leaving a critical gap in qualitative understanding of the most diverse population in higher …

Asm And A Culture Of Sharing, Caring, And Fun In Education, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

One doesn't always equate a professional scientific society with sharing, caring, and fun, but in this age of public distrust, public engagement with science and active student learning are ways to regain trust. ASM holds a leadership position in promoting and recognizing the value of education in the future of our profession and is there to support your educational journey. From K12 outreach and public engagement, to professional development, to presenting and publishing scholarship of teaching and learning, ASM has been at the forefront of biology education. Under the leadership of visionary directors such as Amy Chang and now Irene …

Laplace Factor Models In High-Dimensional Data, Siqi Liu, Xuerong Meggie Wen, Akim Adekpedjou, Guangbao Guo

Mathematics and Statistics Faculty Research & Creative Works

Laplace factor models (LFMs) provide a heavy-tailed alternative to Gaussian factor models by representing high-dimensional observations through a low-rank common component and Laplace-distributed idiosyncratic errors. This paper develops an assumption-consistent finite-sample analysis of matrix concentration, covariance estimation, and Monte Carlo integration under this model. We first formulate the model with explicit dimensional, independence, covariance, and identifiability conditions. Standard matrix Laplace-transform and matrix Bernstein inequalities are then recalled with their precise applicability conditions. Because untruncated Laplace variables are neither almost surely bounded nor strongly log-concave, these standard results cannot be applied directly in the forms commonly used for bounded or Gaussian-like …

Modeling Mean And Variability Of Anxiety In Ecological Momentary Assessment Data Using Mixed-Effects Location–Scale Models, Trenzy Odero

Electronic Theses and Dissertations

Ecological Momentary Assessment is a method of collecting repeated measures of people in real time within natural environments. This results in hierarchical data that has a significant amount of variation at the person level. The traditional linear mixedeffects models assume that the residual variance is constant, which might not be true when the residual variance varies among individuals as well as in time. This thesis uses mixed-effects location-scale (MELS) models to model the mean and variance of an EMA outcome together. By introducing the possibility of variability in residual variance within and across individuals and with covariates, the MELS framework …