Digital Commons Network^™

An Evaluation Of Reading Proficiency Examination College Completion Among Black Neurodiverse Women, Makayla J. Graham

Theses (2016-Present)

This study establishes the college completion experiences of Black neurodiverse women (n=53), a population historically rendered invisible in higher education research. Grounded in Dis/ability Critical Race Studies (DisCrit), Black Feminist Thought, the Black Feminist Disability Framework, and the Neurodiversity Paradigm, the research documents how intersectional identity, structural barriers, and mental health outcomes shape degree attainment. Data was collected through a mixed-methods online survey targeting this specific demographic. The findings demonstrate that college completion for this population is an act of resistance against racialized sexist ableism. Thematic analysis identified six central themes: Systemic Barriers in Higher Education, Intersectional Identity Burdens, Internal …

What Students Really Think: Unpacking Ai Ethics In Educational Assessments Through A Triadic Framework, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong

Research Collection School Of Computing and Information Systems

The rise of AI in educational assessments has significantly enhanced efficiency and accuracy. However, it also introduces critical ethical challenges, including bias in grading, data privacy risks, and accountability gaps. These issues can undermine trust in AI-driven assessments and compromise educational fairness, making a structured ethical framework essential. To address these challenges, this study empirically validates an existing triadic ethical framework for AI-assisted educational assessments, originally proposed by Lim, Gottipati and Cheong (In: Keengwe (ed) Creative AI tools and ethical implications in teaching and learning, IGI Global, 2023), grounded in student perceptions. The framework encompasses three ethical domains—physical, cognitive, and …

Seeing 3d Through 2d Lenses: 3d Few-Shot Class-Incremental Learning Via Cross-Modal Geometric Rectification, Tuo Xiang, Xuemiao Xu, Bangzhen Liu, Jinyi Li, Yong Li, Shengfeng He

Research Collection School Of Computing and Information Systems

The rapid growth of 3D digital content necessitates expandable recognition systems for open-world scenarios. However, existing 3D class-incremental learning methods struggle under extreme data scarcity due to geometric misalignment and texture bias. While recent approaches integrate 3D data with 2D foundation models (e.g., CLIP), they suffer from semantic blurring caused by texture-biased projections and indiscriminate fusion of geometric-textural cues, leading to unstable decision prototypes and catastrophic forgetting. To address these issues, we propose Cross-Modal Geometric Rectification (CMGR), a framework that enhances 3D geometric fidelity by leveraging CLIP’s hierarchical spatial semantics. Specifically, we introduce a Structure-Aware Geometric Rectification module that hierarchically …

Exploring Undergraduate Early Childhood Education Students' Conceptualizations Of Stem In Early Learning Contexts, Melany Spiehs

Educational Leadership Theses, Dissertations, and Student Creative Activity

Early childhood is widely recognized as a critical stage for STEM (science, technology, engineering, and mathematics) learning, yet many teachers feel underprepared to support children’s foundational knowledge and skills. This study examines how undergraduate students in early childhood education conceptualize STEM within early learning environments through an analysis of their coursework and field experiences. The investigation explores both students’ articulated beliefs about STEM (espoused theories) and how they enacted STEM teaching and learning in practice (theories-in-use). Data were drawn from course artifacts including journals, reflections, learning stories, lesson plans, and field observation notes. While much of the existing literature emphasizes …

Record Number Of Students Enter Top Stem Phd Programs, Anthony Bosman

Lake Union Herald

No abstract provided.

Serious Games And Complex Thinking: A Study On Gender Differences And Study Discipline In University Students, María Soledad Ramírez‑Montoya, Carolina Alcantar-Nieblas, Leonardo David Glasserman-Morales

Artículos científicos

Serious games are a fundamental tool to promote learning in a playful way and to develop a wide range of cognitive skills such as complex thinking. In this study we sought to first analyze the perceived achievement of complex thinking sub-competencies by majors, and we also aimed to investigate mean differences in the group of students coming from computer science and engineering related majors and by gender of the participants in complex thinking subcompetencies. 417 learners were part of this study, of which 65.7% were male and 34.3% were female. It was found that medical students perceived higher achievement in …

Environmental Bankers: States Are Billing Fossil Fuel Companies For Extreme Weather Disasters, Kelly A. Adam

William & Mary Environmental Law and Policy Review

For decades, common law has been the pathway to remediation for environmental tragedies. Victims of traditional environmental harms can pursue justice through legal challenges like nuisance, negligence, and violations of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA). However, climate change–induced natural disasters have led to the normalization of the “Act of God” exception; a policy provision commonly used in insurance law that excludes coverage for damage caused by unforeseeable natural disasters. Even so, real cities suffer the consequences of the real harm, whether insurance accepts it or not; so, who bears the burden of funding the recovery?

Maryland, …

Leveraging Machine Learning And Causal Inference For Loan Default Prediction, Luca Guida

Doctoral Dissertations and Master's Theses

This research explores a systematic application of machine learning techniques combined with causal inference to predict loan defaults in peer-to-peer lending. Accurately forecasting loan defaults is crucial for mitigating financial risk and optimizing lending strategies. This analysis is based on multiple datasets of loan applications spanning over a decade, containing detailed financial and credit information about borrowers. Beginning with extensive Exploratory Data Analysis (EDA) coupled with scaling strategies, the research identifies key trends in loan performance across a large number of factors, such as interest rates or borrower creditworthiness, and one objective is to determine from the many available predictors …

Meshless Discrete Velocity Boltzmann Model For Porous Media Flow, Amandine Maidenberg

Doctoral Dissertations and Master's Theses

This dissertation explores the combination of two sophisticated techniques for addressing computational fluid dynamics: the discrete velocity Boltzmann equation (DVBE) and the localized collocation meshless model with upwinding (U-LCMM). The DVBE is a high-level model that describes the foundations of transport phenomena by addressing the microscale motions of particles themselves and the effect of their aggregate behaviors on continuum principles. This equation integrates multiple scales of phenomena; while it can be used for fluid flow at Navier-Stokes scales, it can also resolve fine features that can only be described at the molecular level. This type of model is necessary for …

Autonomous Landing Of An Unmanned Aerial Vehicle On An Unmanned Surface Vessel Using Model Predictive Control With An Adaptive-Covariance Extended Kalman Filter, Jorge Estupinan

Doctoral Dissertations and Master's Theses

This thesis presents the development of vision-based estimation and model predictive control (MPC) strategies to enable an Unmanned Aerial Vehicle (UAV) to land autonomously on an Unmanned Surface Vessel (USV) subjected to wave-induced motion. An innovative Adaptive-Covariance Extended Kalman Filter (AEKF) implementation was developed for the estimation of the 6 degree-of-freedom USV states using GPS and vision-based measurements of AprilTag markers on the USV landing platform. The AEKF employs an uncontrolled 6 degree-of-freedom nonlinear model augmented with second-order harmonic wave-induced motion dynamics. The AEKF implements two correction techniques: an adaptive covariance adjustment and an artificial covariance inflation regulated by a …

Unresolved Image Simulation For Space Situational Awareness Applications, Fox Coniglario

Doctoral Dissertations and Master's Theses

The knowledge of what lies in orbit around Earth is at best a guess. Decades of spaceflight, debris buildup, and vehicle collisions have contributed to a large number of objects that are simply not able to be catalogued. Ongoing efforts to catalog debris in orbit have reached limits by conventional measures and as such, research is active in the field of in-orbit space situational awareness. This thesis intends to help fill a hole in the development of such orbital platforms by assisting the development of image processing software pipelines though the simulation of unresolved space imagery. The simulation uses accurate …

Active Measurement Of A Micron-Order Gap Under High-Speed And High-Temperature Conditions, Andrew Becker

Doctoral Dissertations and Master's Theses

The hypersonic regime poses numerous challenges that researchers face in the development of hypersonic flight vehicles. Due to their excellent thermomechanical properties, ultra-high-temperature ceramics (UHTCs) have risen as a promising solution to act as a protective barrier between the harsh environment and surface materials of these flight bodies. The mechanical operation of a portable hypersonic simulation device was developed in-house and tested at Argonne National Laboratories (ANL) to gather in-situ material response of prospective UHTC samples when exposed to a hypersonic regime. An edge detection-based algorithm was developed and used in LabVIEW to monitor the health and operation of the …

Monte Carlo Simulation Models To Enhance Air Cargo Network Resilience And Sustainability, Shereen Marie Hashemi

Doctoral Dissertations and Master's Theses

This dissertation focuses on developing and validating an empirical set of simulation models for an air cargo network under large-scale disruption to test recovery strategies that improve resilience. Understanding and quantifying network resilience and recovery strategies is critical for ensuring sustainable operations. These operations become essential during disruptive events as air cargo is used to transport time-sensitive and critical goods. The collective research steps result in a Monte Carlo simulation framework to evaluate air cargo network resilience and identify strategies that enhance performance during disruptions.

The modeled system is a hub-and-spoke network centered on Memphis (MEM) with 23 domestic airports …

Active Learning: Eight Models That Shape Instructional Practice, A.E. Dreyfuss, Ana Fraiman, Karmen T. Yu

Publications and Research

Developed since the mid-20^th century, several instructional models have provided practical means to shift the emphasis in learning from lecture to engagement by students. The snapshots of models presented in this paper include Cooperative Learning, Problem-Based Learning (PBL), Supplemental Instruction (SI) (also PALS, PASS), Team-Based Learning (TBL), Emerging Scholars Program (Mathematics Workshop, MathExcel), Peer-Led Team Learning (PLTL), Process Oriented Guided Inquiry Learning (POGIL), and Learning Assistants (LA). These models have been well-disseminated, widely adopted, and incorporated in disciplines beyond their origins. For purposes of exploration and consideration of implementation, these “snapshots” provide an overview. Features of each model are …

The Influence Of Academic Outcomes On Academic Achievement: A Quantitative Study In Grades 3-12, Kelli R. Helle

Doctor of Education (Ed.D)

The purpose of this predictive study was to examine the relationship between social and emotional learning (SEL) subskills and academic performance among students in grades 3–12. Using the Collaborative for Academic, Social, and Emotional Learning (CASEL) framework, the study sought to identify which specific subskills were most strongly associated with student grade point average (GPA). A quantitative predictive correlational design was employed with a sample of 737 students representing diverse grade levels and backgrounds. Data were collected through the Satchel Pulse SEL assessment platform, and hierarchical multiple regression analysis was conducted to determine the predictive value of SEL subskills while …

A Comprehensive Pipeline For Autonomous Surface Vehicle Navigation In Challenging Aquatic Environments, Mingi Jeong

Dartmouth College Ph.D Dissertations

The primary objective of this thesis is to develop and validate innovative and robust navigation methods for autonomous surface vehicles (ASVs) in challenging scenarios. These efforts aim to establish a complete autonomy pipeline for robotic decision-making systems, enabling high-level tasks such as environmental monitoring and autonomous transportation with broader impacts. The ocean economy contributes over 1.5 trillion USD annually, supporting diverse cultures and economies through tourism, fisheries, shipping, and renewable energy. The global marine industry handles over 90% of the world’s cargo transportation, underscoring its critical importance. Despite this significance, current maritime navigation relies heavily on human decision-making, which is …

Physical Education's Importance In Education, Tyler Phelan

Master's Theses & Capstone Projects

School districts are looking to connect students with courses that will impact their futures. Research shows that physical activity is a key component of healthy well-being and sense of self. Physical education supports other areas of the curriculum, enhancing student learning and their learning experience. It also provides opportunities to improve self-control and reduce behaviors that can affect the student body. This study aims to identify the relevance of physical education to student achievement and disruptive behavior. Based on the literature, data were collected to examine the relationship between students' time in physical education courses, their GPA, and referrals to …

Student Perceptions Of Standards-Based Grading In High School Biology, Scott Bohlman

Master's Theses & Capstone Projects

Standards-based grading (SBG) redefines the reporting of student achievement by focusing on proficiency in explicitly defined learning standards rather than the accumulation of points. Although SBG has the potential to improve student learning, variation in implementation can create student confusion and hinder effectiveness. This inquiry-based research project investigated student perceptions of SBG in high school biology classrooms at Cedar Falls High School in Iowa to determine whether the system helps students gain the necessary skills and accurately measures their academic ability. The researcher utilized a mixed-methods approach, collecting quantitative data through surveys of 23 high school biology students and qualitative …

Improving Teacher Expectations For Students With Disabilities, Noah Kullmann

Master's Theses & Capstone Projects

Disability labels for students are indicators that are made known to classroom teachers before the beginning of the year and have the possibility to impact what a teacher might expect from a specific student. The purpose of this study was to better understand how disability labels impact the expectations that teachers have for students, and how providing training to teachers by informing them about the characteristics of a disability or research-based practices to use when teaching students with a specific disability impacts their initial expectations. The researcher administered five different surveys to a group of 31 high school and middle …

Engaging Young Writers In The Early Childhood Classroom Setting, Andrea Rubel

Master's Theses & Capstone Projects

Emergent writing is essential component of early childhood growth and development. Preschool students can struggle to engage in early writing activities. Research shows that scaffolding, explicit teaching, and meaningful connections help students' growth in emergent writing skills. This inquiry-based study aims to determine the effectiveness of these strategies in the early childhood classroom and evaluate any other effective strategies. This study included a mixed methods approach including reflective journals and scored student journals. The findings revealed that most students showed improvement towards the learning objective being observed and documented. The study also found that girls performed better than boys on …

Teacher Feedback And Its Impact On Student Achievement And Motivation, Aubrey Schmidt

Master's Theses & Capstone Projects

Effective teacher feedback is a key component of meaningful learning, yet many students do not consistently receive feedback that clearly guides improvement. This inquiry-based study examined how intentional, process-oriented feedback influenced elementary students’ perceptions of their learning over a six-week period. The research focused on feedback that emphasized effort, strategies, and next steps, aiming to support students’ resilience, motivation, and confidence as writers. Findings showed steady increases in students’ understanding of what to do next, their motivation to try harder, and their belief in their own abilities. Writing scores also rose gradually, suggesting that consistent, growth-focused feedback may contribute to …

Centered? The Growing Role Of Centers In Intelligence Studies Programs, Jonathan Smith

Journal of Strategic Security

In recent years, civilian higher education programs in the area of Intelligence Studies have begun adding academic centers as a complement to their existing curriculum offerings. This study traces the development, operations, and impact of four such centers in the United States. Through a comparative case study approach, it is found that while centers in this subject area may focus on different educational objectives, each works toward this goal with an interdisciplinary approach and a desire to grow their capabilities in the area of cybersecurity. The development of such centers in the field of Intelligence Studies raises questions about the …

The Cost Of Quantum Wars: Small State Standpoint, Gayane Harutyunyan

Journal of Strategic Security

As an emerging technology, quantum technology claims to have a tremendous impact on all spheres of social activity, as well as to significantly change the perception of war and peace, diversify the nature of security threats, opening up new, previously unknown layers in them. The development of quantum technologies is of exceptional importance for small states in terms of defense and security, because due to some important features (efficiency, speed, accuracy, dataflow security) it can offset the scarcity of resources (financial, material and human) typical of small countries, enabling the opportunity to address the issues of low efficiency due to …

Gulf Coast Faculty Council Minutes - September 23 2025, Eric A. Saillant

Gulf Coast Faculty Council Minutes

No abstract provided.

Science Education News, Fall 2025, University Of Northern Iowa. Science Education Program.

Science Education News

Contents:

--- A Message from the Director of Science Education, Lawrence Escalada
--- Faculty Profile: Jesse Wilcox
--- Staff Profile: Lori Wurtz
--- Student Profile: Graduate student Caleb Christine
--- Student Profile: Undergraduate student: Eliana Nava
--- Yager Science Education Resources & Outreach
--- OpenSciEd
--- Next Gen Full Option Science Systems (FOSS)
--- UNI Student Chapter of the National Science Teachers Association
--- UNI Science Education Update Conference
--- NSTA Student Chapter
--- Yager Science Education Resources & Student Profiles
--- Statewide Iowa Department of Education Professional Learning Events
--- State of Iowa Physics Competition
--- Physics Day at …

Rethinking Gifted Education: An Improvement Science Study On Differentiation And Academic Growth, Mabra Herlong Wayman

Theses and Dissertations

This Dissertation in Practice addresses the problem of inconsistent academic growth among gifted and talented (GT) students in grades 3–5 at Riverview Elementary, where local STAR data show a persistent pattern of GT students falling into the Low Growth, High Proficiency category. Using improvement science as a framework, the study employed empathy interviews, a fishbone analysis, and a driver diagram to identify root causes and guide the development of a professional development (PD) intervention. The PD focused on building teacher capacity for differentiation through high-impact strategies such as problem-based learning, acceleration, independent study, curriculum compacting, and flexible grouping. The intervention …

The Complexity Of Long-Distance Dependencies And Their Impact On Language Models, Abhijit Shrikant Mahalunkar

Doctoral

Sequential data modeling is an important challenge in various fields and in particular in natural language processing. Building effective sequential models faces a notable challenge in the form of Long-Distance Dependencies (LDDs) within the sequence data. Hence, successfully overcoming this challenge is imperative for developing robust and accurate sequential models across various domains and applications. To tackle this challenge, the first step is to conduct a detailed analysis of the complexity of LDDs observed in various sequence datasets. This thesis offers a thorough exploration and documentation of this analysis. An important finding from this thesis is the consistent patterns of …

Tall And Goodchild: In Memoriam David Tall (1941-2024) & Simon Goodchild (1950-2024), Bharath Sriraman

The Mathematics Enthusiast

I offer some remembrances of David Tall and Simon Goodchild, their impact on the mathematics education community, in addition to the aims and scope of this particular journal issue.

Part 3: Mathematical Thinking And Rigor, First Steps, Luis Moreno-Armella, Corey Brady

The Mathematics Enthusiast

Agustín thus sought to abandon the unsafe use of inductive methods in algebra, as Leonardo had employed them, and to rather recover Euclid's ideal that is crystallized in the Elements of Geometry. Nevertheless, his idea of a limit is grounded in the dynamism of motion or a process: It is an embodied idea. From here, a conceptual exploration of functions and their possible properties begins. The effort of conceptual reorganization that Agustín undertakes is remarkable, and it prepares the ground for the in-depth research suggested by his work. With this arose a tangible need need to review the forms of …

David Tall (15 May 1941 – 15 July 2024), Ian Stewart

The Mathematics Enthusiast

Ian Stewart’s remembrances of David Tall as a colleague at the University of Warwick.