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What We're Not Allowed To Teach: The Epistemic Suppression Of The Null Curriculum In American Formal Education, Monica Zheng

West Chester University Graduate Theses, Dissertations, and Final Projects

This thesis explores the history and impact of the null curriculum, which Eisner (1994) defines as "what schools do not teach" (p. 97). The null curriculum often contradicts the messages that the dominant white-supremacist patriarchy has indoctrinated into the explicit curriculum into the curriculum that American formal education uses, especially with the advent of high-stakes standardized testing. In order to overthrow this capitalist system, teachers must feel safe teaching the null curriculum. This thesis makes the case that internal reform of the American formal education system is not enough to create this liberated learning experience, and an external, full …

Robust Broadband Characterization Of Flexible Absorbers, Sheet Material, And Liquids Using A Coaxial Structure, Joseph Christopher Stecher

Masters Theses

Modern high-frequency measurement systems require reliable calibration and sample positioning to ensure measurement fidelity. This thesis presents three studies addressing practical limitations in broadband material parameter extraction and instrumentation.

The first study introduces a modified Nicolson–Ross–Weir (NRW) technique for flexible, compression-sensitive materials from 100 MHz to 18 GHz. Rigid 3D-printed spacers ensure precise sample positioning, and a T-matrix–based de-embedding procedure removes spacer effects. Validation using microstrip measurements and full-wave simulation confirms accurate permittivity extraction across compression levels.

The second study extends NRW to sheet materials enabling accurate material characterization. Independent validation using toroidal inductors with leakage correction and parallel-plate capacitors …

Analyzing Sleep Architecture And Brain State Transitions Via Hidden Markov Models On Fmri Data, Brileigh Jay Cates

Masters Theses

Sleep is associated with systematic changes in brain activity and functional connectivity observable in functional magnetic resonance imagining (fMRI) signals. Because subjects often fall asleep during resting-state experiments, the absence of vigilance monitoring can confound the interpretation of resting-state dynamics. Although electroencephalography (EEG) is the gold standard for sleep staging, simultaneous EEG-fMRI acquisition is not always feasible.

This study investigates whether sleep stages can be inferred directly from fMRI using a probabilistic latent-state framework. Hidden Markov Models (HMMs) are applied to blood-oxygen-level-dependent (BOLD) time series to identify latent brain states and their temporal transitions. Inferred states are aligned with EEG-derived …

Examining How Engagement Strategies Of Principals Influence Teacher Retention In Urban Title I Schools, Bridgette Allen

College of Graduate Studies: Theses & Dissertations

As the teacher shortage continues to rise, it is critical for educational leaders to focus on teacher retention. Principals play a significant role in teacher retention, teacher engagement, and job satisfaction; therefore, they must implement effective engagement strategies to improve teacher retention. The purpose of this basic qualitative study is to explore how engagement strategies employed by principals at urban Title I schools contribute to teachers’ decisions to remain at these schools. The research question for this study examines teachers’ perspectives on how the engagement strategies used by their school principals influence their decision to remain in an urban Title …

Pixel-To-World Mapping For Multi-Camera Warehouse Robot Localization, Mariam Faruque Sharif

College of Graduate Studies: Theses & Dissertations

This thesis presents a comprehensive framework for camera calibration and pixel-to-world coordinate mapping for multi-camera robot localization in a structured warehouse environment. The study is conducted in the APRN-ROWS laboratory, where four overhead cameras observe a planar grid of known barcode locations used as the reference coordinate system.

The proposed approach combines geometric modeling and optimization-based techniques to estimate camera parameters. Initially, camera extrinsic parameters, including position and orientation, are derived using physical measurements and geometric relationships. Principal point locations are estimated through a zoom-based alignment method, ensuring accurate correspondence between the optical axis and the world coordinate system. Intrinsic …

Optimization Of The Cmc Algorithm, Christopher Joseph Moner

Graduate Theses, Dissertations, and Problem Reports (ETD)

Cartridge cases recovered from discharged firearms contain tool marks produced by the internal mechanisms of said firearm. Firearm and tool mark examiners com pare these marks to determine whether two cartridge cases originated from the same firearm. Traditional comparison methods have been criticized for their subjective nature and reliance on examiner interpretation rather than objective decision thresholds. The Congruent Matching Cells (CMC) algorithm was developed as a quantitative, objective method for tool mark comparison. CMC is a surface topography correlation algorithm that partitions a tool mark into small regions, or cells, and evaluates their similarity using the areal cross-correlation function …

Exploring Excessive Absences In An Urban School Setting: Implications For Student Academic Success And High School Graduation, Tamieka Mclaughlin

Theses and Dissertations

This qualitative phenomenological study explored the perspectives of parents and teachers regarding excessive student absenteeism in an urban high school setting and the implications of persistent absences for students' academic success and high school graduation. Excessive absenteeism remains a major challenge for schools in urban communities where children experience multiple personal, family, school and community factors that may influence attendance. Understanding how parents and teachers perceive these factors can provide insight into the experiences and challenges associated with chronic absenteeism, as well as the strategies they believe may support improved student attendance, academic success, and progress towards high school graduation. …

Low Early Reading Skills In Children Entering Kindergarten In An Urban K-8 Center, Shelly D. Smith-Harding

Theses and Dissertations

This applied dissertation was designed to investigate the preparedness of kindergarten children in early reading skills, drawing comparisons from their experiences in comparable preschool programs and to gain insight about how to address the problem of low early reading skills among children entering kindergarten. Using archival data from i-Ready reading diagnostic tests over a 4-year period (2021-2022 to 2024-2025), the researcher compared students who attended an urban K-8 Center Head Start program (n=47) with students from other preschools (n=33).

The researcher conducted an independent t-test with SPSS, version 30 software, to analyze differences at the baseline (Assessment Period 1) and …

Evaluating The Potential Of Genomic Selection For Grain Yield And Yield Component Traits In South Dakota Winter Wheat, Dante Koupal

Electronic Theses and Dissertations

Wheat (Triticum aestivum L.) is a major cereal crop worldwide, but recent gains in grain yield (GY) have not kept pace with projected demand. GY is a highly quantitative trait with low heritability that requires multi-year, multi-location phenotyping, limiting selection efficiency. Targeting higher heritability yield component traits, such as kernel size and weight, and incorporating them into the genomic selection (GS) pipeline has the potential to accelerate genetic gain for GY. The objectives of this study were to (i) understand the relationship between GY and the kernel-size traits, including thousand kernel weight (TKW), kernel length (KL), kernel width (KW), and …

Improving Human Dimensions Of Conservation Planning: Challenges And Opportunities For Sustainable Conservation Outcomes, Vivian Hulugh

Electronic Theses and Dissertations

Conservation planning is important to ensure both ecological and social benefits of natural resources, including the maintenance of functional ecosystems and stable wildlife populations as well as the provision of resources that communities rely on. Yet, the integration of the human dimensions of conservation planning remains limited in practice. This thesis examines conservation planning in South Dakota and within Joint Venture (JV) partnerships, using qualitative methods to identify challenges and opportunities for more effective and coordinated planning. In chapter one, I examine how collaboration, public participation, and the use of climate information are integrated conservation planning in South Dakota and …

The Spacetime Finite Element Method For Investigations Into Physics Ghost Systems And Time Parallel Preconditioning, Jax Wysong

Electronic Theses and Dissertations

This work operates on two fronts, focusing on interesting physical phenomena before turning our attention to an interesting numerical math problem. First, using the spacetime finite element method (FEM), we investigate a PDE system consisting of two Klein Gordon equations, which are coupled nonlinearly through the potential energy. The system contains a ghost (negative kinetic energy term). Systems such as these are generally deemed physically unstable, resulting in infinite energy in finite time. However, recent work has shown that this is not always the case. We investigate multiple scenarios arising from different initial conditions to characterize if/when a ghost system …

Feasibility Study For Lithium Mining In South Dakota, Neha Karna

Electronic Theses and Dissertations

The increasing demand for lithium in the battery manufacturing industry, boosted by the growth of electric vehicles and smartphones, has led to concern over its sustainable supply chain in the United States. Historically, South Dakota has played a significant role in U.S. lithium production. The recent surge of interest in lithium exploration in South Dakota, specifically Black Hills, underscores the importance of evaluating the feasibility of lithium mining in Black Hills. This research aims to study the economic feasibility of a lithium mining operation in Black Hills, South Dakota. Our specific objective is to estimate cut-off grade using Lane’s model …

Chemical Load: An Unseen Herbicide Filter In Restored Prairies?, Rylie Franklin

Electronic Theses and Dissertations

Community Assembly Theory is a framework used to describe the process by which species from a regional species pool disperse and encounter various abiotic and biotic conditions that act as filters, limiting which species will populate a specific local community. Prairie restoration success can be improved by understanding abiotic and biotic filters. As agricultural practices have adopted integrated weed management plans, that include the use of both chemical and non-chemical techniques, another filter needs to be considered during restoration: the chemical load of soils, i.e., herbicide residue from recent on-site applications and herbicide drift from adjacent areas. To examine the …

Towards Energy Access For All: Developing The Lived Energy Experience Index (Leei), Kentina Annie Ishimwe

Electronic Theses and Dissertations

Energy is the fuel that powers the engine of civilization. Energy access metrics ensure that nations continuously work towards providing access for all. However, the prevalent binary indicator fails to consider that energy needs to be usable, accessible, affordable, and reliable. As a result, numerous tiered and multidimensional metrics, such as the Multi-Tier Framework, came about to bridge the gap but proved to be complex and complicated to implement. This study presents the existing literature review, assesses the limitations of current energy access measurement frameworks, and compares household energy needs with reported access statistics. Based on the findings, the Lived …

Finite Mixture Modeling Towards Applications In Material Science And Biomedical Data, Jason Hasse

Electronic Theses and Dissertations

This dissertation contains three chapters on different applications of mixture regression models, broadly in materials science and public health. We begin with a basic application of finite mixture models and regression mixture models. The materials science analysis was performed entirely using data from finite element simulations of the additive manufacturing process via powder bed fusion. Visualization of the clustering solution as applied to the additive manufacturing designs highlighted the intuitive patterns that could be found. These patterns simultaneously yield the regression coefficients and subgroups of the geometric regions, providing a way to predict stresses and strains in a new geometry …

Evaluating Supplementation Strategies Using Precision Livestock Technologies And Energy Based Models In Developing Beef Heifers Grazing Dormant Rangeland, Kali-Jo Bentz

Electronic Theses and Dissertations

Replacement beef heifer development in extensive grazing systems is challenged by variation in forage quality, supplement intake, and animal behavior, all of which influence the ability to achieve targeted growth prior to breeding. Precision livestock technologies (PLT) enable continuous monitoring of individual animal performance, while energy-based nutritional models support individualized supplementation. However, their application under extensive grazing conditions remains poorly understood. Therefore, the objectives of this thesis were to (1) evaluate heifer utilization of multiple precision livestock technologies and their relationship with animal performance and (2) evaluate the accuracy of an individualized energy-based supplementation model by comparing predicted supplement allotments …

Securing Smart Agriculture With Communication-Efficient Federated Unlearning, Ujjwal Pudasaini

Electronic Theses and Dissertations

This thesis addresses the data poisoning attack in smart agricultural systems using federated unlearning, where the contribution of compromised field devices must be removed from the global model under communication constraints. We propose FedSCAN, a three-phase framework that identifies critical layers based on parameter sensitivity, classifies active neurons within these layers through relative weight change analysis, and performs unlearning via sparse low-rank adaptation to active neurons while freezing base model parameters. FedSCAN limits computational overhead to a compact parameter subset, enabling devices to participate in a communication-efficient manner. Experimental results on four datasets demonstrate that FedSCAN achieves up to 426.3× …

Data-Driven Decision-Making Frameworks For Energy Procurement And Dynamic Pricing In Electric Vehicle Charging Networks, Pallavi Khanal

Electronic Theses and Dissertations

The continued growth of electric vehicles (EVs) is increasing the demand for charging infrastructure and creating new operational challenges for charging network operators (CNOs). Uncertainty in charging demand, electricity market prices, and user charging behavior can significantly impact both the economic performance and reliability of charging network operations. To address these challenges, this thesis develops an integrated data-driven framework that combines charging demand modeling, risk-aware energy procurement, machine learning, and reinforcement learning for intelligent EV charging network operation. The research begins by developing queueing-based models to characterize EV charging demand under time-varying and stochastic arrival conditions. Time-varying Mt/M/1 and Mt/M/c …

Spatio-Temporal Demand Forecasting For Optimizing Electric Vehicle Charging Network Operations, Subhamyu Mani Nepal

Electronic Theses and Dissertations

The primary objective of this thesis is to create a framework for modeling, forecasting Electric Vehicle load demand and optimizing the EV charging network operation for Charging network operators. As EV’s popularity grows accurate forecasting of EV charging demand and its effect on the distribution network is critical for the efficient planning and operation of charging infrastructure, as well as for enabling Charging Network Operators to participate effectively in wholesale electricity markets. The first part of the work develops Mt /M/1 & Mt /M/c queuing models calibrated using real-world EV charging data to characterize station-level operations under time-varying arrival rates. …

Effect Of Female Employment On Household Expenditure In Bangladesh, Fatema Binte Sharif

Electronic Theses and Dissertations

Female labor force participation (FLFP) in Bangladesh has increased from 29.2% in 2005–06 to 42.8% in 2022, raising important questions about household resource allocation. This study examines the impact of female employment on household expenditure patterns and challenges the traditional unitary model of decision-making. It focuses on how income controlled by women influences spending across essential and non-essential categories. The analysis uses data from the Household Income and Expenditure Survey (HIES) conducted by the Bangladesh Bureau of Statistics. This research employs Seemingly Unrelated Regression (SURE) approach to estimate budget shares for food, housing, health, education, clothing, and transport. The study …

Detecting And Characterizing Latent Subpopulations Of Classes Via Mixture Models, Andrew Simpson

Electronic Theses and Dissertations

A class of problems in statistical pattern recognition exists in which there is high-dimensional data with few realizations per class, commonly referred to as few-shot learning. Data that arises in forensic source identification, which deals with providing a probabilistic value of evidence with regard to the source of some object, falls into this class of problems. Namely, the data is sampled from a hierarchical sampling process, lives in a high-dimensional space, the number of sources (or classes) tends towards infinity, and there are few observations per source. This can be thought of as a few-shot learning problem. Because of these …

Mixed-Methods Study Of High School Teachers’ Perceived Training, Self-Efficacy, And Assessment Competencies In Online Courses, Chantell Radford

Theses and Dissertations

The problem in this study was that, in a large urban school district in South Florida, the online high school teachers’ training, self-efficacy, and assessment competencies in courses required enhancement. The purpose of this study was to examine the perceptions of high school teachers on their training, self-efficacy, and assessment competency in online courses.

Twenty high school online teachers participated in the study. Recruitment occurred through a link posted on Facebook and LinkedIn. The design (sequential explanatory mixed-methods design) aligned with the five research questions. Two instruments (survey and questionnaire) were used to collect data. Quantitative data analyis occurred with …

A Qualitative Study Of Teacher Perceptions Of Reading Proficiency, Latia Tyler

Theses and Dissertations

This applied qualitative dissertation was constructed to provide insight into the experiences of teachers who provide reading instruction for third grade students at the target school. Seven teachers engaged in semi structured interviews that sought to examine their perceptions on their abilities in teaching reading instruction, their perception on school supports, their perceptions on reading proficiency and factors that contribute to it. Additionally, comprehensive reading plans, published by the state of Florida, were examined to further understand the perceptions of teachers alongside district intended approach for reading instruction.

Thematic analysis of data revealed eight key themes including gaps in foundational …

Improving Middle School Students’ Scores On Math Word Problems Through Reading Comprehension, Diane M. Burgess

Theses and Dissertations

This applied dissertation was designed to address the poor performance of middle school students on math word problems attributed to the lack of reading comprehension skills. A review of standardized math assessments for middle school students confirmed that the greater proportion of questions is made up of word problems. Despite having strong mathematical skills, middle school students are likely to fail to find the correct solutions for math word problems. In the middle school classroom, the development of reading comprehension skills and mathematical abilities are tasks required of different teachers. Math teachers at a middle school in Florida did not …

The Implementation Of Small Group Direct Instruction For Reading Domains Of Second- Grade Students, Tarmeka Smith-Bennett

Theses and Dissertations

This applied dissertation explored how implementing small-group direct instruction in an elementary school setting affected the reading performance of second-grade students. The study examined how organized small-group direct instruction can elevate students’ reading achievement in phonics, vocabulary, and reading comprehension. Over a six week instructional period, a mixed-methods research design was used to collect quantitative and qualitative data.

Pretest and posttest students’ reading assessments were collected using quantitative data, while teachers' weekly reflections and surveys were collected using qualitative data. A total of 30 students identified as struggling readers, and three second-grade teachers who implemented small-group direct instruction participated in …

Teachers’ Perceptions Of The Decline In Reading Scores Among Fourth- And Fifth-Grade Students, Brigetta Foules-Sims

Theses and Dissertations

The purpose of this qualitative instrumental case study was to explore teachers’ perceptions of the factors contributing to the decline in reading achievement among fourth- and fifth-grade students in a rural elementary school in a southern state. The study explored teachers’ perceptions of the causes of declining reading performance, the instructional challenges they encounter when addressing reading difficulties, and the resources and supports they believe are necessary to improve student outcomes.

Data were collected through semi structured interviews with eight certified fourth- and fifth-grade teachers. Five themes emerged from the data: (a) increasing academic demands reveal foundational reading gaps, (b) …

Temporal Patterns Of Storm Surges: Event-Identification, Clustering, And Count Modeling, Ariadna Martin Oliva

Graduate Studies Theses and Dissertations 2026

Coastal regions face compounding risks when extreme events strike in rapid succession, yet most statistical frameworks treat such events as independent, a simplification that can critically underestimate hazard. This thesis addresses that gap through three interconnected contributions focused on the temporal clustering of storm surges at the global scale. A new automated method is developed to extract independent storm surge events from continuous tide gauge records. By leveraging event correlations and a soft-margin approach that accounts for local variability, the method identifies characteristic event durations across 1,485 global tide gauge stations, revealing the influence of both local site conditions and …

Advancing Multi-Modal Learning, Swetha Sirnam

Graduate Studies Theses and Dissertations 2026

Multimodal learning aims to develop systems that understand and reason across multiple sources of information such as images, videos, audio, and text. These capabilities are central to applications including visual search, digital assistants, robotics, and visual question answering. Despite recent progress in multimodal large language models, current approaches struggle to capture the structured complexity of real-world visual data. Fine-grained visual details are often lost during multimodal alignment, models frequently fail to capture nuanced human intent, and existing methods remain limited in understanding long-form videos with complex temporal dynamics. Furthermore, many evaluation benchmarks rely heavily on explicit visual cues, which can …

School Of Biological Sciences News, 2026, School Of Biological Sciences, Illinois State University

School of Biological Sciences News

Alumni newsletter of Illinois State University's School of Biological Sciences.

Selecting Plants And Informational Resources, Kat Kelleher

UNH Cooperative Extension

Considerations that go into plant selection on a site when thinking about creating resilient spaces that are able to provide more than one function.