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Ranking Of Non-Destructive Testing Methods For Ductile Iron Castings For Industry 4.0, Michael W. Jones Jan 2025

Ranking Of Non-Destructive Testing Methods For Ductile Iron Castings For Industry 4.0, Michael W. Jones

College of Graduate Studies: Theses & Dissertations

Non-destructive testing techniques provide a unique solution to provide quality assurance of parts rapidly and efficiently without altering the functional properties of the workpiece. The metal casting industry requires an elevated level of quality assurance, as castings are critical components to several industries. The wrong selection of non-destructive testing methods could increase production costs, quality costs, and potentially permit non-conforming castings to enter the market. The aim of this research is to develop a ranking model for non-destructive testing techniques for ductile iron castings within the context of the fourth industrial revolution. The ranking model analyzes the effectiveness of the …


Evaluating Multimodal Ai Systems: A Comparative Analysis Of Large Languagel Model-Based Models For Text, Image, And Video Generation, Azeezat O. Akinola Jan 2025

Evaluating Multimodal Ai Systems: A Comparative Analysis Of Large Languagel Model-Based Models For Text, Image, And Video Generation, Azeezat O. Akinola

College of Graduate Studies: Theses & Dissertations

In the era of rapid technological advancement, efficient content generation, application development, and data management are crucial for meeting the demands of dynamic digital environments. This thesis uses state-of-the-art models to explore three core areas: AI-driven video content creation, text-to-image-to-text consistency, and automatic text summarization. The first study investigates the potential of AI-powered text-to-video generation to democratize video production and enhance storytelling. By comparing the performance of three models—ModelScope, Text2Video (Zero), and Motion Consistency—this study assessed the quality of generated videos using CLIP scores. It evaluated statistical significance through t-tests and homogeneity tests. Results indicate that ModelScope outperformed the others, …


Comparative Analysis Of Eye-Metric Algorithms For Code Comprehension In Introductory Cs Course, Noushin Gauhar Jan 2025

Comparative Analysis Of Eye-Metric Algorithms For Code Comprehension In Introductory Cs Course, Noushin Gauhar

College of Graduate Studies: Theses & Dissertations

Eye-tracking technology offers a non-intrusive way to study cognitive processes by tracking where and how long individuals look. In computer science education, it provides valuable insights into how students understand source code—a task that requires intense visual and mental effort. This study investigates how eye-tracking can reveal differences in code comprehension strategies among students in an Introductory Programming course. By analyzing three key metrics—dwell time, gaze entropy, and the K coefficient—the research explores how students engage with code. Dwell time indicates cognitive focus on specific code elements, the K coefficient measures attentional shifts between scanning and focused reading, and gaze …


Enhancing Adhd Diagnosis In College Students Using Multimodal Integration Of Nicats And Iva-2 Tools, Rushmila Shabneen Jan 2025

Enhancing Adhd Diagnosis In College Students Using Multimodal Integration Of Nicats And Iva-2 Tools, Rushmila Shabneen

College of Graduate Studies: Theses & Dissertations

This study explores enhanced methods for accurately identifying Attention Deficit Hyperactivity Disorder (ADHD) indicators in college students. ADHD, a neurodevelopmental disorder, impacts attention, impulse control, and emotional regulation, often leading to academic and social difficulties. Many students remain undiagnosed due to symptom overlap with stress and other factors. Traditional tools like the IVA-2 assess behavioral responses but may not fully capture ADHD complexity. This research integrates IVA-2 data with multimodal metrics from the Non-Intrusive Classroom Attention Tracking System (NiCATS), which monitors facial expressions, eye movements, and computer interactions. Preliminary results show that combining these tools improves ADHD detection, reduces false …


An Infrared Thermography Assessment For Monitoring Aging Mse Walls, Charles Lawal Jan 2025

An Infrared Thermography Assessment For Monitoring Aging Mse Walls, Charles Lawal

College of Graduate Studies: Theses & Dissertations

Mechanically Stabilized Earth (MSE) walls play a vital role in ensuring the stability of transportation infrastructure, yet traditional inspection techniques often struggle to detect subsurface defects and demand significant labor. This research explores the application of Infrared Thermography (IRT) as a non-destructive, cost-effective approach for inspecting MSE walls across Southeast Georgia. By capturing thermal images under diverse environmental and operational conditions, the study aims to identify potential issues, including cracks, voids, delamination, and honeycombing, which can undermine integrity over time. Utilizing advanced image processing tools, the research implements specialized software to enhance the accuracy of defect detection, facilitating the generation …


Application Of Semantic Segmentation To An Automatic Target Recognition Problem, Bruce W. Rush Jr. Jan 2025

Application Of Semantic Segmentation To An Automatic Target Recognition Problem, Bruce W. Rush Jr.

College of Graduate Studies: Theses & Dissertations

Synthetic Aperture Radar (SAR) is an active remote sensing system commonly used in aerial reconnaissance. SAR penetrates cloud cover and vegetation by recording reflected energy pulses. The resulting information content is difficult to interpret due to vast clutter data and sparse target data. The time-consuming process of analyzing SAR imagery can be greatly reduced by implementing an Automatic Target Recognition (ATR) algorithm. Convolutional Neural Networks (CNN) are capable of extracting identification features from SAR data content. Further research in this field indicates that high performing models are insufficiently robust due to high clutter correlation among classes in the Moving and …


Digital Modeling Of Temperature-Dependent Processes In Industrial Wastewater: Advancing Ultimate Oxygen Demand Prediction For Treatment Optimization, Fatima Iqbal Jan 2025

Digital Modeling Of Temperature-Dependent Processes In Industrial Wastewater: Advancing Ultimate Oxygen Demand Prediction For Treatment Optimization, Fatima Iqbal

College of Graduate Studies: Theses & Dissertations

The pulp and paper industry is the third-largest consumer of freshwater globally and faces mounting pressure to optimize water usage and minimize environmental impact. Aerated stabilization basins are extensively utilized in the pulp and paper industry and play a crucial role in treating wastewater from these operations. The existing management practices fail to effectively optimize treatment processes due to the prolonged time required for testing key quality parameters. The utilization of models developed for treatment facilities presents a viable solution; however, existing open-source models often fall short in accurately predicting treatment efficiency across varying conditions and lack comprehensive accounting of …


Effects Of Perinatal Exposure To Lipopolysaccharide And Acetaminophen On Learning In Adult Long-Evans Rats, Lucy A. Sivils Jan 2025

Effects Of Perinatal Exposure To Lipopolysaccharide And Acetaminophen On Learning In Adult Long-Evans Rats, Lucy A. Sivils

College of Graduate Studies: Theses & Dissertations

The present study investigated the individual and combined effects of elevated perinatal inflammation, oxidative stress caused by acetaminophen (APAP) exposure, or elevated inflammation and oxidative stress on adult learning behaviors in Long-Evans rats. While prior studies have examined these factors independently, the combined effects of inflammation and oxidative stress via APAP exposure during early development on learning-related behaviors remain unexplored. The present research aimed to address this gap by the analysis of potential long-term neurodevelopmental consequences of lipopolysaccharide (LPS)-induced inflammation and APAP-induced oxidative stress. LPS, APAP, or LPS + APAP was administered during the perinatal period: postnatal days (PD) 9, …


Dynamic Modulus Of Sbs-Modified Asphalt Mixtures Added With Ground Tire Rubber Content, Azharul Islam Jan 2025

Dynamic Modulus Of Sbs-Modified Asphalt Mixtures Added With Ground Tire Rubber Content, Azharul Islam

College of Graduate Studies: Theses & Dissertations

The study investigates the improvement of the dynamic shear modulus in the base and styrene butadiene styrene (SBS) modified asphalt mixture by accumulating varying amounts of ground tire rubber through an Asphalt mixture performance tester (AMPT). This thesis specifically explores how different percentages of ground tire rubber (GTR) influence the mechanical properties and durability of the asphalt mixture articulated with two grades, PG 64-22 and PG 76-22. The experimental framework consisted of preparing asphalt mixtures blended with 10% to 15% of the binder for PG 64-22 and 3% to 8% of GTR for PG 76-22. The laboratory testing involved using …


Temporal Analysis Of Construction Safety Incidents In Southeastern U.S. Using Machine Learning Techniques, Mayowa O. Oladele Jan 2025

Temporal Analysis Of Construction Safety Incidents In Southeastern U.S. Using Machine Learning Techniques, Mayowa O. Oladele

College of Graduate Studies: Theses & Dissertations

Construction safety incidents remain a significant concern, particularly in the Southeastern U.S. due to the high-risk nature of the industry. Analyzing patterns in these incidents can help improve safety practices and reduce accidents. Machine learning (ML) techniques were employed in this study to identify temporal patterns in construction safety incidents, aiming to enhance proactive safety management. The machine learning methods used in this research included logistic regression, decision trees, random forest, support vector machine (SVM), and K nearest neighbors (KNN).

The objective of the study was to analyze temporal trends in safety incidents and identify the most effective machine learningtechnique …


What Is Reasonable? Effects Of Different Jury Instructions In A Fatal Police Use Of Force Case, Katherine M. Kaylor Jan 2025

What Is Reasonable? Effects Of Different Jury Instructions In A Fatal Police Use Of Force Case, Katherine M. Kaylor

College of Graduate Studies: Theses & Dissertations

Since the Supreme Court case Graham v. Connor, police officers charged with misusing force on duty are judged against a hypothetical reasonable officer. Graham focuses on split-second decisions police officers must make and states police should not be judged with the benefit of hindsight. California goes beyond the subjective language of Graham and instructs jurors to look at the totality of circumstances, meaning they must consider all events and actions of an officer and citizen when assessing cases. The current study investigated whether type of instruction (Graham vs. California) affected mock jurors’ verdicts. Participants in the California condition …


Motivating Students Through Problem-Based And Project-Based Learning, Dennis J. Moore Jan 2025

Motivating Students Through Problem-Based And Project-Based Learning, Dennis J. Moore

College of Graduate Studies: Theses & Dissertations

ABSTRACT

As educators, motivating students can be a difficult task.Sixteen eighth-grade students discuss their perceptions of what makes educational programs motivating. In teacher-centered classrooms, teachers lecture while their students take notes, quizzes, and tests and practice memorization skills in preparation for high-stakes testing. Is this a fair assessment of a student's knowledge, and does this type of instruction fulfill students’ needs for a successful future? Research for this case study focused on students' perceptions of an agricultural program that utilizes problem-based and project-based learning with a sustainability focus.

In problem-based learning (PBL) classes, students are given real-world problems and asked …


Metalepsis And Mental Castration: Doki Doki Literature Club As The Cerebral Monstrous-Feminine, Hannah Graham Jan 2025

Metalepsis And Mental Castration: Doki Doki Literature Club As The Cerebral Monstrous-Feminine, Hannah Graham

College of Graduate Studies: Theses & Dissertations

Doki Doki Literature Club! is a horror visual novel masquerading as a dating simulation game. Behind the thin veneer of pretty girls in tiny skirts and tight uniforms lurk horrors, glitches, and metaleptic events that take the player’s battle for agency beyond mere point-and-click interactions. This fight breaches containment to the level of the physical, as the player must literally wrestle for control with an in-game character who has commandeered their entire computer system. Players are led to believe that they are making the decisions that further the plot, but come to learn that in this world, there is no …


Majority Decision Using Top-Performing Neural Networks Models For Improved Credit Risk Prediction, Vincent Dey Jan 2025

Majority Decision Using Top-Performing Neural Networks Models For Improved Credit Risk Prediction, Vincent Dey

College of Graduate Studies: Theses & Dissertations

Credit risk prediction remains both a challenging and high-interest problem due to the inherently unbalanced nature of financial datasets and the continuous drive for higher pre- dictive precision. In this work, I build upon previous advancements in credit risk modeling and introduce an ensemble-based Artificial Neural Network (ANN) architecture designed to enhance classification performance. By leveraging a selective ensemble of decision net- works, this approach not only improves prediction accuracy but also mitigates the chal- lenges posed by imbalanced data distributions. While the primary focus is on credit risk prediction, my analysis demonstrates that the proposed model can be effectively …


Advocacy Across Divides: Attorney Aaron L. Buchsbaum In Savannah, Georgia, 1963-1969, Sydney Jolene Kelly Jan 2025

Advocacy Across Divides: Attorney Aaron L. Buchsbaum In Savannah, Georgia, 1963-1969, Sydney Jolene Kelly

College of Graduate Studies: Theses & Dissertations

This thesis explores the early life and career of Aaron Levy Buchsbaum, a Jewish lawyer from Savannah, Georgia. Buchsbaum's Jewish family upbringing, Southern childhood, and legal education all combined to mold him into an individual who used the profession to support those facing unjust treatment by the Savannah-Chatham County court system. By focusing on three of Buchsbaum's legal cases involving the Civil Rights Movement and his partnership with humanitarian organizations, this thesis contextualizes local conflicts in Savannah in the 1960s. Rather than safeguard the civil rights of all citizens, these cases demonstrate that the authorities, including judges, district attorneys, and …


Defect Detection In Extrusion-Based Bio-Printed Constructs Using Video-Based Vibration Analysis, Md Anisur Rahman Jan 2025

Defect Detection In Extrusion-Based Bio-Printed Constructs Using Video-Based Vibration Analysis, Md Anisur Rahman

College of Graduate Studies: Theses & Dissertations

Bio-additive manufacturing has emerged as a transformative advancement in biomedical engineering, enabling the fabrication of complex biological structures. However, maintaining the precision and quality of printed constructs remains a significant challenge, particularly in applications such as bioprinted organ transplants. Among the key factors affecting structural integrity, dimensional inconsistencies and interlayer defects present major obstacles, potentially compromising mechanical stability and functionality. This study explores the detection of defects caused by variations in dimensional accuracy and layer-to-layer adhesion. To address these challenges, a video-based motion estimation technique is employed as a non-contact and non-destructive evaluation method. Traditional approaches, such as contact-based and …


Visual Attention And Memory Performance On Advertisements Featuring Celebrities, Kyrho Callis Jan 2025

Visual Attention And Memory Performance On Advertisements Featuring Celebrities, Kyrho Callis

College of Graduate Studies: Theses & Dissertations

VISUAL ATTENTION AND MEMORY PERFORMANCE ON ADVERTISEMENTS FEATURING CELEBRITIES


Accuracy In Real World To Pixel Coordinate Conversion, Noredia O. Imudia Jan 2025

Accuracy In Real World To Pixel Coordinate Conversion, Noredia O. Imudia

College of Graduate Studies: Theses & Dissertations

The field of computer vision has numerous applications of the real-world to pixel coordinate conversion. Related fields of machine learning, artificial intelligence, virtual reality, and augmented reality share similar benefits. My contribution involves assessing the accuracy of multiple coordinate conversion methods through experimentation. The Focal Length Calibration method allows for manual calibration using the scale factor. I have concluded that manual camera calibration causes the greatest improvements to accuracy when the method focuses on every point in the image. Methods that localize accuracy still increase accuracy, but not to the same degree.


Long-Term Ichthyoplankton Monitoring Of The Moon River (Savannah, Ga) With A Focus On Climate Change, Bradley Cayson Jan 2025

Long-Term Ichthyoplankton Monitoring Of The Moon River (Savannah, Ga) With A Focus On Climate Change, Bradley Cayson

College of Graduate Studies: Theses & Dissertations

The presence of healthy fish populations is a cornerstone of many important ecological mechanisms. These populations are supported by the recruitment of ichthyoplankton, or the egg and larval stages of fishes, as the primary determinant of population growth. Increases in average global water temperatures can alter the composition of fish communities and thus the offspring found in planktonic stages. I compared a large data set of ichthyoplankton surveys completed from 2009-2011 to a replicated six-month sampling period from May – November of 2024. Collection was conducted weekly to biweekly during night flood tides using a fixed suspension ichthyoplankton net (1mm …


Community And Decomposition Dynamics Along A Saltwater Intrusion Gradient On Sapelo Island, Georgia, Zach Gordon Jan 2025

Community And Decomposition Dynamics Along A Saltwater Intrusion Gradient On Sapelo Island, Georgia, Zach Gordon

College of Graduate Studies: Theses & Dissertations

Saltwater intrusion, the movement of ocean water into freshwater, is a significant global threat to coastal freshwater ecosystems linked to both climate change and anthropogenic influences. Alterations to coastal landscapes can increase intrusion. Sapelo Island has an extensive history of agricultural landscape alteration, but freshwater flow decline increased the movement of saltwater inland by tides. Intrusion is expected to increase in frequency and magnitude due to rising sea levels and storms. Salinization puts inland habitats and the humans relying on them at risk. As saltwater is denser than freshwater, more pressure is placed on benthic organisms (i.e., macroinvertebrates) that will …


Seafloor Magnetic Alteration Through Time Across The Northern Mid Atlantic Ridge, Jelil Olamide Olaoye Mr Jan 2025

Seafloor Magnetic Alteration Through Time Across The Northern Mid Atlantic Ridge, Jelil Olamide Olaoye Mr

College of Graduate Studies: Theses & Dissertations

The magnetic properties of oceanic crust evolve with age due to chemical alteration, changes in magnetic mineralogy, and physical processes associated with seafloor spreading. This study investigates how magnetic properties change over time in basaltic rocks from the northern Mid Atlantic Ridge, with a focus on two V-shaped ridge sites (VSRs; U1562 and U1563), two V-shaped troughs (VSTs; U1554 and U1555) and a normal crust site formed during episodic mantle upwelling. Magnetic analyses including anisotropy of magnetic susceptibility (AMS), natural remanent magnetization (NRM), alternating field demagnetization (AF) and hysteresis loops, was performed with optical microscopy and scanning electron microscopy (SEM) …


Microbial Community Stabilization By Restored Oyster Reefs: Implications For Blue Carbon Storage, Natalie Boydstun Jan 2025

Microbial Community Stabilization By Restored Oyster Reefs: Implications For Blue Carbon Storage, Natalie Boydstun

College of Graduate Studies: Theses & Dissertations

Coastal ecosystems provide critical carbon sequestration services, yet the microbial mechanisms underlying carbon storage remain poorly understood, particularly in non-vegetated habitats. This study investigated whether restored oyster reefs (Crassostrea virginica) enhance sediment carbon storage potential by stabilizing microbial communities and promoting efficient organic matter processing. I hypothesized that reef-mediated sediment stabilization and organic deposition would create conditions favoring microbial degradation of complex carbon compounds into stable soil organic matter, ultimately supporting anaerobic carbon storage. To test this, I compared sediment biogeochemistry, enzyme activity, and microbial community structure between three restored oyster reef sites and two unstructured control sites …


The School Of Becoming: Speculative Essays On Existential Possibility And Humanity In Education, Timothy A. Holman Jan 2025

The School Of Becoming: Speculative Essays On Existential Possibility And Humanity In Education, Timothy A. Holman

College of Graduate Studies: Theses & Dissertations

This dissertation reimagines public education through an existential lens, advocating for a humanitarian approach that resists the prevailing dominance of standardized, data-driven systems. Drawing primarily from the philosophy of Jean-Paul Sartre (1936, 1940, 1943, 1947, 1965, 1992), it contends that education should honor freedom, nurture authenticity, embrace encounters with others, and cultivate imagination as essential to human development. Influenced by the works of William Ayers (1998, 2004, 2008, 2016, 2024), Maxine Greene (1967, 1973, 1978, 1988, 2000, 2001), Paulo Freire (1970, 2001, 2004), Christopher Emdin (2010, 2016, 2021), and Byung-Chul Han (2018, 2024), speculative essays—each focused on an existential theme—are …


Experimental Study Of Deformation Behavior For A Novel Elastohydrodynamic Seal For Supercritical Carbon Dioxide Power Cycles, William A. Adams Jan 2025

Experimental Study Of Deformation Behavior For A Novel Elastohydrodynamic Seal For Supercritical Carbon Dioxide Power Cycles, William A. Adams

College of Graduate Studies: Theses & Dissertations

Supercritical carbon dioxide (sCO2) Brayton cycles are a strong contender for future power generation systems due to their high thermal efficiency and compact nature. Sealing is one of the key challenges presented by such systems that has a direct impact on the system's overall efficiency. This research is the first experimental study to investigate the deformation behavior of an elastohydrodynamic (EHD) seal made from bearing-grade polyether ether ketone (PEEK). A testing apparatus was developed to integrate four strain gauges positioned along the seal to quantify the deformation occurring up to pressures of 13 MPa. Mass flow rate measurements …


Fresh Eyes: Viewing Education Through A Critical Lens, Glennda Shealey-Griffiths Jan 2025

Fresh Eyes: Viewing Education Through A Critical Lens, Glennda Shealey-Griffiths

College of Graduate Studies: Theses & Dissertations

This dissertation confronts neoliberal ideology in public education, where standardized testing and market-driven accountability systematically undermine teacher autonomy and creative learning. Moving beyond critique to action, this study develops a practical pedagogical framework empowering educators to resist these dehumanizing forces and cultivate democratic learning spaces through arts-integrated professional learning as critical aesthetic pedagogy. Drawing on Henry Giroux, Maxine Greene, Paolo Freire, and Jacques Rancière, this qualitative case study examines a professional learning initiative with public school teachers through interviews, classroom observations, and analysis of participants' photographic projects. These visual works function not merely as documentation but as catalysts for Giroux's …


Bringing A Missing Minority Into Focus: Foster Parents’ Voices And Their Impact On Foster Children’S Academic Experiences, Clair Rutherford Jan 2025

Bringing A Missing Minority Into Focus: Foster Parents’ Voices And Their Impact On Foster Children’S Academic Experiences, Clair Rutherford

College of Graduate Studies: Theses & Dissertations

Foster children face persistent educational inequities shaped by trauma, frequent placement changes, and systemic barrierswithin schools. This dissertation investigates how foster parents perceive and influence the educational experiences of the children in their care, emphasizing the intersection of advocacy, trauma-informed teaching, and institutional response. Grounded in trauma-informed pedagogy, critical ecology and curriculum studies, the study interrogates how schools both support and constrain foster children’s educational opportunities. An arts-based methodology was employed, combining fictionalized portraiture and digital ethnography. Data sources included foster parent social media posts, reflexive journalling, and researcher positionality as both teacher and foster parent. Composite narratives were constructed …


Viscoelastic Property Analysis Of A Magnetorheological Elastomer Micropump For Insulin Delivery In Type 1 Diabetes, Victor Buitimea Jan 2025

Viscoelastic Property Analysis Of A Magnetorheological Elastomer Micropump For Insulin Delivery In Type 1 Diabetes, Victor Buitimea

College of Graduate Studies: Theses & Dissertations

Over two decades, there has been a significant rise in awareness regarding Type 1 Diabetes (T1D), leading to a deeper comprehension of numerous variables, including hereditary factors, patterns of occurrence, and health challenges. According to the Type 1 Diabetic Index, around 8.7 million people worldwide are affected by this chronic autoimmune illness marked by a lack of insulin and hyperglycemia. The introduction of artificial pancreas systems could save more than half a million patients by 2040. Despite the availability of various insulin delivery technologies that are offered to diabetic patients, many still are skeptical of this modern system. The issues …


Machine Learning For Automated Classification Of Tree Species Based On Color-Texture Fusion, Brandon C. Jones Jan 2025

Machine Learning For Automated Classification Of Tree Species Based On Color-Texture Fusion, Brandon C. Jones

College of Graduate Studies: Theses & Dissertations

This study aimed to develop robust machine learning tools for the classification of southeastern United States tree species based on bark images, addressing challenges posed by significant intraspecies variation in bark texture and color. The primary objectives included constructing specialized machine learning libraries and classification models, identifying optimal algorithms and parameters to maximize accuracy, and integrating the best-performing texture and color classifiers into a unified system to enhance the overall classification performance. The methodology involved collecting a dataset of 360 field images, extracting hue and saturation histograms for color features, and employing Histogram of Gradients (HOG) and Histogram of Binary …


An Investigative Study Of Thermal Fluid Properties When Introducing Metallic Nanoparticles Through A Heat Exchanging System, Levi P. Mckinney Jan 2025

An Investigative Study Of Thermal Fluid Properties When Introducing Metallic Nanoparticles Through A Heat Exchanging System, Levi P. Mckinney

College of Graduate Studies: Theses & Dissertations

Heat-exchanging systems are essential in applications ranging from automobiles to air-conditioning units, and ongoing improvements aim to enhance efficiency while reducing system size. Conventional coolant upgrades often rely on ethylene glycol, which increases thermal stability and lowers freezing point but reduces water’s inherent heat-transfer capability. Advances in nanotechnology provide an alternative approach: suspending nanoparticles in base fluids can significantly modify thermal properties, with some formulations exhibiting conductivity increases of up to 60%. This thesis examines the thermal and tribological performance of three working fluids—distilled water, a 50:50 water–ethylene glycol mixture, and the same mixture enhanced with Al₂O₃ nanoparticles. Distilled water …


Beyond The Possible: Climate Justice, Global Citizenship, And Classrooms – Speculative Essays, Amanda C. Fanelli Jan 2025

Beyond The Possible: Climate Justice, Global Citizenship, And Classrooms – Speculative Essays, Amanda C. Fanelli

College of Graduate Studies: Theses & Dissertations

This dissertation examines the potential of speculative essays as pedagogical tools to inspire K-12 educators to integrate climate justice education within their classrooms, utilizing the framework of Global Citizenship Education (GCE). While climate change is often presented in schools as a scientific or technical issue, the literature on environmental justice demonstrates that climate change is inextricably linked to systemic inequities rooted in race, gender, colonialism, and economic oppression (Bullard, 2000; Shiva, 1988; Whyte, 2017). Yet educators frequently lack accessible, integrative frameworks for addressing these intersections in their teaching without overhauling existing curricula. This study addresses that gap by triangulating ecopedagogy, …