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Dordt University 2025-26 Catalog, Dordt University. Registrar's Office

Academic Catalogs

Academic Catalog for 2025-26

Iere Annual Report 2025, Erin Largo-Wight, Heather Barnes Truelove, Kelly Rhoden, Nicole Lowe, Ruby Cox

Annual Reports

2025 Annual Report of the Institute for Environmental Research and Education

A Delaware Bay Field Season; Shorebirds And Scientists, Sally O'Byrne

Delaware Ornithologist

No abstract provided.

Examination Of Cooperative Extension As A Bridging Organization To Enhance Cross-Boundary Collaborative Water Management, Mark E. Burbach, Stephanie M. Kennedy, Weston M. Eaton, Kathryn J. Brasier, Daran R. Rudnick, Walt Whitmer

School of Natural Resources: Faculty Publications

We explored stakeholders’ familiarity with, trust of, perceived competence of, and shared vision with Cooperative Extension on water-related issues in two states to determine the degree to which Extension is positioned to be an effective bridging organization. Results of surveys in Nebraska and Pennsylvania showed that, overall, neither agricultural producers nor non-farm households were very familiar with Extension. However, both stakeholder groups perceived Extension to be trustworthy, competent, and have similar goals on water-related issues. Extension should renew efforts to bolster its familiarity among these groups to enhance its effectiveness as a bridging organization.

Analysing Nontraditional Students' Chatgpt Interaction, Engagement, Self-Efficacy And Performance: A Mixed-Methods Approach, Mohan Yang, Shiyan Jiang, Belle Li, Kristin Herman, Tian Luo, Shanan Chappell Moots, Nolan Lovett

STEMPS Faculty Publications

Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how nontraditional higher education students interact with ChatGPT in multiple courses and examined relationships between ChatGPT interactions, engagement, self-efficacy and performance. Data were collected from 73 undergraduate and graduate students through chat logs, course reflections and artefacts, surveys and interviews. ChatGPT interactions were analysed using four metrics: prompt number, depth of knowledge (DoK), prompt relevance and …

Analyzing Acid Rain And Industrial Activity, Jooyoung Jeon

Open Educational Resources

This assignment by Jooyoung Jeon asks students to explore the relationship between acid rain occurrences and industrial activity by analyzing open datasets. It was created as part of a workshop on OER-based Active Learning at John Jay College in 2025.

"Expert" Versus "Subjugated" Knowledge In Political Sociology, Marisa Tramontano

Open Educational Resources

In this assignment, created for a 2025 seminar on OER-based Active Learning, Dr. Marisa Tramontano made an open, "low-tech" active learning module comparing excerpts from the book, "Poverty of Philosophy" by Karl Marx with the song of the same name by Immortal Technique. The assignment uses a remixable Google doc to guide students' analyses and comparisons of these texts. The assignment can easily be adapted to other courses or disciplines.

Improving Understanding And Connections For Preparedness, Mitigation, Response, And Recovery For Tornado And Straight-Line Wind Events In Virginia: Summary Of The Inaugural Virginia Tornado And Straight-Line Wind Summit, Wie Yusuf, Monica Arul, Joshua Behr, Kaleen Lawsure, An Huy Pham, Henry Attivor

School of Public Service Faculty Publications

Background

The Virginia Tornado and Straight-Line Wind Summit, the first of its kind in the Commonwealth, was held on October 15, 2025 in Isle of Wight County, Virginia. The Summit had several goals, including:

• Understanding Virginia’s wind risk and learning the science behind it.
• Hearing lessons learned from emergency managers who have experienced extreme wind events.
• Learning about practical steps to prepare, mitigate, and respond to severe wind events.
• Learning best practices for timely and actionable communication with the public before and after events.
• Strengthening interagency coordination and connecting with others to share resources, align priorities, and coordinate resilience planning. …

Ai-Generated Messaging For Life Events Using Structured Prompts: A Comparative Study Of Gpt With Human Experts And Machine Learning, Christopher Lynch, Erik Jensen, Ross Gore, Virginia Zamponi, Kevin O'Brien, Brandon Feldhaus, Katherine Smith, Joseph Martínez, Madison H. Munro, Timur E. Ozkose, Tugce B. Gundogdu, Ann Marie Reinhold, Hamdi Kavak, Barry Ezell

VMASC Publications

Large Language Models (LLMs) play an increasingly integrated and pivotal role in generating diverse types of texts, such as social media messages, emails, narratives, and technical reports, among other textual communication forms. As AI-generated messaging filters into human communication, a systematic exploration of their effectiveness for mimicking human-like communication of life events is needed. In this study, we employ a zero-shot structured narrative prompt to generate 24,000 life event messages for birth, death, hiring, and firing events using OpenAI's GPT-4. From this dataset, we manually classify 2880 messages and evaluate their validity in conveying these life events through the form …

Guiding Evolutionary Algorithms With Large Language Models To Learn Fuzzy Cognitive Maps, Ryan Schuerkamp, Philippe J. Giabbanelli

VMASC Publications

Fuzzy Cognitive Maps (FCMs) are interpretable simulation models that represent causal relationships between concepts as a weighted digraph with labeled nodes. They serve to examine a system’s structure (e.g., what concepts are critical to spreading an intervention’s effects?) and long-term behavior (e.g., if we increase fruit availability, how will its consumption change?). When modelers build FCMs by leveraging participants’ knowledge, the resulting participant-built FCMs can be analyzed and interpreted since participants report perceived causality. However, engaging enough knowledgeable participants to construct an FCM can be challenging. Alternatively, machine learning algorithms derive FCMs from data by selecting relationships to maximize a …

Artificial Intelligence And Constitutional Interpretation, Andrew Coan, Harry Surden

University of Colorado Law Review

No abstract provided.

Boy Whose Head Was Filled With Stars: A Life Of Edwin Hubble (2021) By Isabelle Marinov, Maughn Rollins Gregory

Picture Books

Barely a hundred years ago, Edwin Hubble changed the way we understand the universe and our place in it more dramatically than almost anyone else has ever done. As this picture book biography shows, his mind-boggling discoveries can be traced back to childhood questions. The discovery that the world is bigger than we had imagined happens in many ways, and learning that we have some choices in deciding how new facts, new experiences, and new perspectives can matter to us is a necessary part of education.

Facial Chick Sexing: An Automated Chick Sexing System From Chick Facial Image, Marta Veganzones Rodriguez, Thinh Phan, Arthur F.A. Fernandes, Vivian Breen, Jesus Arango, Michael T. Kidd, Ngan Le

Computer Science and Computer Engineering Faculty Publications and Presentations

Chick sexing, the process of determining the gender of day-old chicks, is a critical task in the poultry industry due to the distinct roles that each gender plays in production. While effective traditional methods achieve high accuracy, color, and wing feather sexing is exclusive to specific breeds, and vent sexing is invasive and requires trained experts. To address these challenges, we propose a novel approach inspired by facial gender classification techniques in humans: facial chick sexing. This new method does not require expert knowledge and aims to reduce training time while enhancing animal welfare by minimizing chick manipulation. We develop …

Revascularization Strategies For Multivessel Disease In Acute Coronary Syndrome: Network Meta-Analysis, Khaled M. Harmouch, Mohammad Hamza, Nomesh Kumar, Zarghoona Wajid, Neel Patel, Masooma Naseem, Jawad Basit, Prakash Upreti, Manoj Kumar, Waqas Ullah, Yasar Sattar, Timir K. Paul, Emmanouil Brilakis, M. Chadi Alraies

Abington Jefferson Health Papers

BACKGROUND: The optimal revascularization strategy for patients with acute coronary syndrome (ACS) and multivessel disease (MVD) remains debated. This study compares the efficacy and safety of different revascularization strategies in these patients.

METHODS: We included 20 studies comparing staged, complete, and culprit-only (CO) revascularization strategies in patients with ACS and MVD. We divided the revascularization strategies into 3 distinct strategies: CO, complete index procedure (CIP), and complete staged procedure (CSP). We then compared CIP and CSP with CO. Outcomes studied are all-cause mortality, cardiac death, recurrent myocardial infarction (MI), need for revascularization, bleeding, contrast-induced nephropathy (CIN), stroke, bleeding, and stent …

High Voltage Circuit Breaker Arc Modelling State Of Art, Raghdaa I. Elbahy, Ahmed M. Abdelbaset, Ebrahim A. Badran, Mansour H. Abdel-Rahman

Mansoura Engineering Journal

High-voltage (HV) circuit breakers (CBs) are critical for safe and reliable power system operation. However, electric arcs formed during current interruption pose a challenge due to their complex, non-linear behavior. These arcs can hinder CB efficiency and cause equipment damage. To address this, understanding and modeling arc properties are essential. This paper explores existing methods for modeling and simulating electric arcs in HV CBs, including physical, black box, and parameter models. By analyzing these approaches, the paper emphasizes the importance of arc modeling for CB optimization and outlines the physical, mathematical, and software requirements for effective modeling and simulation.

Fire And Mammal Herbivory On Arthropods In The Protected Savannas: A Systematic Review, Ludzula Mukwevho, Mduduzi Ndlovu, Frank Chidawanyika

All Peer-Reviewed Publications

Protected areas in the savannas are key global reserves for biological diversity, including arthropods. Fire and mammal herbivory disrupts the diversity of biological organisms that alternately affects the functioning of the ecosystem. The study presents a global synthesis review of arthropod responses to varying intensities of fires and mammal herbivory in the protected savannas. We hypothesise that the intensity of predetermined fires and mammal herbivory has cascading impacts on abundance, species richness and diversity of terrestrial arthropods in the protected savannas. A minimum selection criteria was used to collate relevant literature from electronic databases of previous studies performed in the …

Innovative Teaching Strategies And Lesson Plans To Support Students With Adhd, Celeste Grantham

Theses and Dissertations

This thesis explores how creativity, imagination, and problem-solving can be harnessed to improve student outcomes – specifically engagement, motivation, and academic achievement – for students with Attention-Deficit/Hyperactivity Disorder (ADHD) in elementary classrooms. Rather than conducting a data-driven study, this project draws upon interdisciplinary research from educational psychology, cognitive science, and pedagogy to design inclusive research-informed teaching strategies. The cognitive processes underpinning creativity and imagination – such as divergent thinking, mind-wandering, and creative incubation – are examined as potential strengths often underutilized in traditional classrooms. A comprehensive literature review establishes how these variables interact and influence the learning experiences of students …

Advanced Placement Classes And Its Racial Gap – Teachers’ Beliefs And Perceptions, Hema Keerthi

Theses and Dissertations

This mixed-methods study focused on teachers’ beliefs about Advanced Placement (AP) equity and access policies within the ABC School District in Middle Georgia. The purpose of this study was to examine the relationship between the beliefs held by AP teachers regarding the implementation of equity and access policies and the extent to which these beliefs may have supported or hindered the execution of such policies and procedures. This research employed a mixed-methods design incorporating both quantitative and qualitative methods. The first phase involved an online survey of teachers and counselors in the ABC district in Middle Georgia. The second phase …

Purification Of Recombinant His6-Gfp-Preptin Fusion Protiens, Apoorva Kollaram

Theses and Dissertations

Preptin, a 34-amino-acid peptide derived from proinsulin-like growth factor II, has emerged as a promising therapeutic candidate for both Type 2 diabetes mellitus and osteoporosis. Its dual functionality—stimulating insulin secretion without inducing hypoglycemia and promoting osteoblast proliferation—positions it as a unique alternative to traditional sulfonylureas and osteogenic agents. In this study, we developed a purification protocol for green fluorescent-preptin fusion proteins. These fusion proteins will be used to investigate the functional significance of residues Pro17, Val18, Gly19, Trp27, Lys28, and Gln29 in rat preptin, which shares high sequence similarity with the human form. Site-directed mutagenesis was performed using NEB Q5 …

Qlorax: Heuristic-Guided Fine-Tuning Of Llama-2 For Domain Adaptation In Entrepreneurship, Gaurob Saha

Theses and Dissertations

This thesis presents a study on the fine-tuning of large language models (LLMs) for domain-specific applications using limited data. We fine-tuned the LLaMA-2 (7B) model on a curated entrepreneurial dataset containing 3,545 human-written question-answer pairs, of which 3,095 were used for training and 450 were reserved for evaluation. A complete fine-tuning and evaluation pipeline was developed, which included clustering human-written answers, generating centroid-based summaries for each cluster, and evaluating the model's generated responses through cosine similarity.

Training was carried out over five epochs, with model performance evaluated after each epoch. The fine-tuned model demonstrated strong semantic alignment with human-written content, …

Exploratory Data Analysis (Eda) And Predictive Machine Learning (Ml) For Buildings’ Energy Fault Detection, Akshith Nukala

Theses and Dissertations

Building energy load fault detection is a critical challenge in energy usage analysis. It helps uncover energy wastage, machinery/appliance degradation or inefficiency, and failures or faults in buildings’ HVAC (heating, ventilation, and air conditioning) systems. Early identification of machinery failure and energy wastages due to operational maintenance negligence in large sites such as campus buildings is indispensable for achieving energy efficiency. This is crucial for saving patrol and minimizing the response time to restore the building appliances or systems to their optimal state.

Advancements in state-of-the-art AI/ML data-driven algorithms and techniques enabled us to build accurate, efficient and scalable fault …

The Impact Of Pre-Kindergarten Programs On Literacy Achievement In Primary Grades In Rural Southeast Alabama Title I Schools, Courtney Sonntonya Thorton

Theses and Dissertations

The purpose of this study was to examine how pre-kindergarten impacts the literacy achievement of students in Alabama Title I schools. This quantitative study employed a causal-comparative (ex post facto) research design to examine the impact of Alabama’s First-Class Pre-K (FCPK) program on early literacy and school readiness, as measured by the Dynamic Indicators of Basic Early Literacy Skills (DIBELS) and the Alabama Early Learning Inventory (AL ELI). The design was selected due to its appropriateness for studying naturally occurring groups and its capacity to explore potential cause-and-effect relationships without researcher-controlled intervention.

The independent variable was Pre-K attendance (attendee vs. …

Exploring Brent-Kung Adders In Balanced Ternary Cmos Logic, Astrea J.C. Rojas

Theses and Dissertations

The modern computer operates on a 64-bit architecture. These devices can store large numbers and precise decimals, but more advanced devices are needed to support progressing technologies every day. A more efficient system with higher speeds and larger operable numbers would be a key to optimization of computation as we know it. The ternary device, operating in base-3, has the potential to be that optimization. However, binary technology has such precedent and research that it is a difficult gap to span to compare the ternary system to the modern binary system. With a more advanced adder and optimized gates using …

An Analysis Of Coal Ash Pollution In The State Of Georgia, Mick W. Etchison

Theses and Dissertations

This social science paper will explore the factors contributing to the prevalence of coal ash in specific regions of Georgia and its impact on local ecosystems and human health. It provides an analysis of the current environmental and political issues surrounding the containment and spread of coal ash throughout the State. Coal ash is primarily found in the central, southwestern, and northeastern regions where coal-fired power plants and coal ash storage sites are located. The paper will then discuss the political, economic, and legal reasons behind the lack of effective regulation and mitigation of coal ash spread. Coal ash illustrates …

Cultivating Mindsets And Transformative Practices Of Beginning Alternative Certified Teachers: A Teacher Perception Study, Rodney Keith Wilkerson

Theses and Dissertations

The shortage of qualified teachers in the United States has been a persistent issue for decades. The number of qualified candidates to fill teaching vacancies has fallen short as the number of teachers needed to educate today continues to increase (Carothers et al., 2019). Traditionally, teacher preparation programs were the primary source of certified teachers. However, these programs have been decimated by declining student enrollment and by criticisms that they do not meet the needs of prospective teaching candidates today (Darling-Hammond, 2020). In recent years, the shortage has become even more acute, with some regions facing severe teacher shortages (Carothers …

The Relationship Of Preschool Variables To Kindergarten Early Literacy Skills, Michele Davis Thomason

Theses and Dissertations

This dissertation examines the impact of Pre-K experiences on kindergarten early literacy skills in Alabama. A convergent parallel mixed-methods research design was utilized to analyze assessment data from My Teaching Strategies AlaKiDS and Renaissance STAR Early Literacy for kindergarten students in a rural Alabama district. The students were divided into three groups for comparison: students who attended Alabama First Class Pre-K, those in private programs using the Abeka curriculum, and students with no formal Pre-K experience. The dissertation utilized Vygotsky’s constructivist theory to assess the influence of early educational environments on the cognitive development through scaffolding and the Zone of …

Saferespirator: Comprehensive Database For N95 Filtering Facepiece Respirator Leak Detection Including Infrared, Rgb Videos, And Quantitative Fit Testing, Geoffrey Marchais, Mohamed Arbane, Barthelemy Topilko, Jean Brousseau, Clothilde Brochot, Yacine Yaddaden, Ali Bahloul, Xavier Maldague

Études primaires

The COVID-19 pandemic underscored the challenges of performing mandatory Quantitative Fit Tests (QNFT) for healthcare professionals and the limitations of self-administered fit checks. To address this, it is crucial to develop faster and more efficient methods for detecting, locating, and quantifying leaks in Filtering Facepiece Respirators (FFRs), providing wearers with immediate feedback on their safety. Infrared (IR) technology, which relies on temperature variation analysis around the face seal, has proven effective for locating leaks but has not yet achieved automated quantification. This paper introduces a validated protocol for creating a comprehensive database to advance automatic leak detection. The database includes …

Utilizing Artificial Intelligence As A Strategic Risk Management Tool For Public Sector Operations And Auditing Processes, Oğuz Ümit Tamer, Bruce D. Mcdonald Iii, Farouk Hemici, Georgia Kontogeorga

School of Public Service Faculty Publications

Symbolizing a significant turning point in the historical landscape, AI is becoming an effective tool in today's public administration, not only for increasing capacity, quality, and speed in services, but also for strategic risk management. Regulators and algorithmic auditing play a central role in implementing fairness, transparency, and persistent controls against risks in AI systems. Discussing modern applications of AI, such as anomaly-based fraud detection, resource estimation, and continuous auditing, and their respective strengths and weaknesses, this study concludes that AI significantly enhances efficiency and oversight but also poses the risk of enshrining bias, opacity, and accountability gaps. By considering …

Characterization Of Actin Capping Protein Beta Isoform Specific Dynamics In Metastatic Cells, Etinosa Osamudiamen

All Graduate Theses, Dissertations, and Other Capstone Projects

To gain insight into the mechanism of cancer progression, we examined the isoform-specific roles of actin capping protein (CPβ1 and CPβ2) related to actin cytoskeletal dynamics and metastatic progression in human uterine epithelial cells (HeLa). We employed qPCR to determine the relative expression levels of CPβ1 and CPβ2 in actively growing HeLa cells. Our findings confirmed that CPβ1 and CPβ2 are differentially expressed, with CPβ2 being the predominant isoform, two-fold higher, consistent with its expression in other non-muscle tissues. To extend our expression studies, the localization and spatial distribution of the isoforms were visualized via immunolocalization studies using isoform-specific monoclonal …

The Military’S Constitutional Role, Brenner M. Fissell

North Carolina Law Review

No abstract provided.