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Editor's Introduction, Amy Mecklenburg-Faenger

Journal of the National Collegiate Honors Council Online Archive

Editorial for Journal of the National Collegiate Honors Council (2025) 26(1), special issue on Forum on AI and Honors.

Ai Responsibilization: Shifting The Burden Of Academic Integrity, Daniel A. Cryer

Journal of the National Collegiate Honors Council Online Archive

Because AI text generators like ChatGPT give students unprece-dented power to outsource their work, concerns about academic integrity are escalating among instructors. This essay suggests that the proliferation of generative artificial intelligence in teaching and learning dramatically shifts the burden of academic integrity, typically shared between teachers and students, onto students. The concept of responsibilization, a defining feature of neoliberal societies in which individuals become responsible for costs and tasks once shouldered collectively, is a useful lens through which to view this new reality. Rather than policing students’ work, educators should recognize the new responsibilities conferred onto students by learning …

Pull Up A Chair, Deep Blue: Ai In Honors Education, Betsy Greenleaf Yarrison

Journal of the National Collegiate Honors Council Online Archive

Generative AI is the latest in a succession of technologies that allow us to do with machines what we used to have to do by hand. This essay argues that the elements of teaching in honors that can be automated probably should be and that it is the role of honors faculty to teach students how to distinguish superior thought from mediocre thought, good questions from great ones, and solid supporting evidence from weak or biased counterparts. Large learning models (LLMs) only collate what is already known and cannot teach thinking. As an information delivery system, AI can narrow the …

Teaching Ai Literacy Through Science Studies, Rhetoric, And Ethical Reasoning, Michael J. Klein, Philip L. Frana

Journal of the National Collegiate Honors Council Online Archive

Building on the idea of productive troublemaking, this essay presents a team-taught interdisciplinary honors course that integrates science and technology studies, rhetorical analysis, ethical reasoning, and artificial intelligence policy. Rather than framing AI as a threat, this course invites honors students to experiment with AI technologies and develop competencies by analyzing AI as a social and subjectivity-shaping phenomenon—writing policy briefs, producing rhetorical analyses of science fiction, and completing self-paced AI literacy modules. Honors education is uniquely positioned to model responsible and human-centered uses of intelligent systems, thereby cultivating graduates who can both use and critically interrogate the AI tools that …

News From The Front: How To Win The Ai War, Christine Haverington

Journal of the National Collegiate Honors Council Online Archive

While artificial intelligence is currently and justifiably a hot topic among scholars and university administrators, students are way ahead of the curve in terms of its use and application. Calling for educators to stop trying to catch AI “cheaters,” this essay provides evidence from honors and other classroom observations, student research on peer and faculty usage and attitudes, course evaluations, and external sources to demonstrate how and why generative AI can be creatively and effectively incorporated into teaching. Toward this end, practical pedagogical strategies are shared describing teaching modalities and innovative curricular design, avoiding the cognitive degradation of students, and …

Another “Tone Test” Moment: Authenticity, Ai, And The Admission Essay, Peter Tschirhart

Journal of the National Collegiate Honors Council Online Archive

Debates about “authenticity” are not new but cyclical, and insights from music history and performance studies can illuminate how we evaluate student work in an age of machine collaboration. At the turn of the twentieth century, Edison’s “tone tests” blurred the line between human and machine by staging performances in which audiences were challenged to distinguish live singers from phonographic recordings. These events inaugurated a century-long debate about authenticity in music, one that resonates strongly today as educators confront new challenges posed by large language models (LLMs). Drawing on Auslander’s (2023) account of liveness, authenticity in writing—like authenticity in music—can …

Honoring Intellectual Risk-Taking: A Dialogue, Julie Bowman, Alexis Teagarden

Journal of the National Collegiate Honors Council Online Archive

Presented in the form of a Socratic dialogue, this piece considers what honors courses should strive to teach. Bowman, an experienced instructor of both non-honors and honors classes, notes that while universities’ honors colleges prize intellectual curiosity, her honors students might not. Teagarden, the other interlocutor and a writing program administrator, wonders whether curiosity is a sufficient end goal for honors or any teaching. The speakers turn to whether curiosity or courage is the more important virtue to instill, explore a classical difference between courage and audacity, and then discuss whether and how courage could be taught.

Generative Ai And The Honors Thesis: A Rhetorical Framework For Gai Policy, Pedagogy, And Equity, Sean Chadwick

Journal of the National Collegiate Honors Council Online Archive

This article offers a rhetorical framework for understanding how honors students engage with the capstone thesis following the emergence of generative AI (GAI) tools. Author reviews the nature of the honors thesis and analyzes some rhetorical models for thinking about GAI and literacy before offering a heuristic framework identifying four interdependent skill categories—writing, social, executive, and subject matter—that shape students’ thesis work. Drawing on findings from an interview study, this framework clarifies how GAI tools interface with existing thesis practices and pain points, allowing honors practitioners to better articulate our values, evaluate use cases, and craft GAI-informed policy. As a …

Journal Of The National Collegiate Honors Council (2025) 26(1): Front And Back Matter

Journal of the National Collegiate Honors Council Online Archive

Front and back matter for the Journal of the National Collegiate Honors Council (2025) 26(1).

Global Gender Inequality In Industry: A Systematic Review With Neutrosophic Analysis, Jimmy Hurtado Paspuel, Raquel Vera-Ortega, Angel M. Plaza, Bernardo Hubert Ovalle Correa

Neutrosophic Sets and Systems

This study examines gender inequalities in the worldwide sector via a systematic review employing a neutrosophic approach, focusing on income discrepancies, workplace harassment, preventative strategies, professional hurdles, and leadership representation. The neutrosophic methodology categorizes findings into components of truth, falsehood, and indeterminacy, assessing evidence via four metrics: neutrosophic score, reliability index, certainty level, and information quality index. In accordance with PRISMA 2020 standards, 282 studies published from 2020 to 2024 were examined. The findings indicate that workplace harassment exhibits the most substantial evidence (reliability=0.828, IQI=0.496), succeeded by wage disparities (reliability=0.813, IQI=0.400), whereas prevention policies reveal the greatest uncertainty (reliability=0.696). Robust …

Interval-Valued Neutrosophic Framework For Improving The Decision-Making On The Quality Evaluation Of English Classics Translation, Ying Du

Neutrosophic Sets and Systems

English translations of literary classics are a subject of interest for many scholars and evaluators. However, the evaluation of the translations is a complex and multifaceted task, which necessitates a balance between linguistic accuracy, cultural fidelity, and readability. This makes traditional methods often fall short of catching the uncertainties, ambiguities, and subjective judgments. In an attempt to bridge these gaps between computational linguistics and translation studies, we introduce a mathematically grounded IVNS approach to evaluate the translation of English classics by flexible modeling of the ambiguities inherent in translation decisions. Then, we introduced an extended version of the MULTIMOORA method, …

Neutrosophic Linguistic Rhotrix In Managerial Decision Making, R. Priya, Nivetha Martin, Florentine Smarandache

Neutrosophic Sets and Systems

The developments in rhotrix theory and their applications are unveiled at recent times. This research work proposes the notion of linguistic rhotrix conjoining the theories of linguistic matrix and rhotrix. The theory of linguistic rhotrix comprising fundamental definitions, operators and classifications is presented in this study. The algorithmic framework of applying linguistic rhotrix to decisioning problem is presented in this work. A managerial decision-making illustration is putforth to validate the proposed decisioning framework based on neutrosophic quantifications of linguistic rhotrix. The results obtained are compared with fuzzy and intuitionistic fuzzy quantifications to demonstrate the efficacy of neutrosophic quantifications of linguistic …

Classification Of Organizational Behavior At The National Agrarian University Of La Selva Based On Plithogenic Sets, Ketty Marilú Moscoso-Paucarchuco, Lucila Maribel Justiniano-Advincula, Monica Gisela Justiniano-Advincula, Manuel Michael Beraún-Espíritu, Inocente Feliciano Salazar-Rojas, Carlos Walter Mayta-Molina, Juan Dionicio Paz-Soldán Chávez

Neutrosophic Sets and Systems

In human organizations, there are group ways of conducting themselves, the interaction between members, and internal dynamics, among others that make the organization maintain a specific behavior as if it were an individual. This is the so-called Organizational Behavior, which is important to identify within a particular organization to improve the performance and efficiency of the entity. There are four types of organizational behavior models, namely, autocratic, custodial, supportive, and collegial. This paper aims to classify the organization that belongs to the office of the Academic Vice-Rector of the National Agrarian University of La Selva in Peru. To do this …

Neutrosophic Sets And Systems: A Decade Of Scientific Contribution And Growth, Muhammad Saqlain, José M. Merigó, Poom Kumam

Neutrosophic Sets and Systems

Neutrosophic Sets and Systems (NSS) has become an important Journal for neutrosophic theory and its applications in uncertainty modeling and decision sciences. In 2023, NSS celebrated its 10th anniversary, marking a decade of contributions to scientific literature. Motivated by this event, this paper provides a critical bibliometric analysis of NSS’s evolution as a leading academic journal in neutrosophy. This study explores the publication trends, citation impact, most productive authors, institutions, and global collaboration networks of NSS. The study maps bibliographic coupling, keyword co-occurrence and co-citation analysis using data from the Scopus database, secondary search using NSS webpage, and visualization tools …

Convolutional Interval-Valued Neutrosophic Network For Intelligent Evaluation Of Smart Clothing Design Choices, Fengfang Wu

Neutrosophic Sets and Systems

Smart clothing design turned out to be a set of complex decision-making processes requiring complementary aesthetics, functionality, as well as customer preferences. This, in turn, makes the traditional evaluation methods struggle to deal with uncertainty and subjectivity in customer feedback about smart clothing design. In an attempt to address this challenge, this research article proposes a novel Neutrosophic approach that integrates Interval-Valued Neutrosophic (IVN) with Convolutional Network to build an intelligent tool for the evaluation of smart clothing design choices. The Neutrosophic representation enables modeling uncertainty, inconsistency, and hesitancy in decision-making by assigning interval-ed membership degrees for different views of …

A Comparison Between Euler's Method And 4-Th Order Runge- Kutta Method For Numerical Solutions Of Neutrosophic And Dual Differential Problems, Ahmed Salem Heilat

Neutrosophic Sets and Systems

This paper is dedicated to study some numerical solutions of neutrosophic and dual differential problems through a numerical comparison between neutrosophic Euler's method and 4-th order Runge-Kutta neutrosophic and dual method, where we apply both methods on the same problems and compare the numerical results of solutions and numerical estimations of errors by using numerical tables.

Enhancing Medical X-Ray Image Classification With Neutrosophic Set Theory And Advanced Deep Learning Models, Walid Abdullah

Neutrosophic Sets and Systems

The classification of medical images presents significant challenges due to the presence of noise, uncertainty, and indeterminate information. Traditional deep learning models often struggle to manage this, leading to reduced diagnostic accuracy, especially when dealing with low-quality or ambiguous conditions. This paper proposes a hybrid approach that integrates Neutrosophic Set (NS) theory with deep learning models to enhance X-ray image classification under uncertain conditions. NS theory introduces three domains: True (T), Indeterminate (I), and False (F) to manage image uncertainty and noise, allowing deep learning models to better interpret complex, ambiguous visual information. To evaluate the approach, five state-of-the-art deep …

Neutrosophic Hypersoft Set (Nhss) For Teaching Quality Assessment In University Interior Design Courses, Ruijuan Zhang

Neutrosophic Sets and Systems

Teaching quality evaluation in university interior design courses have different criteria and values. So, we used the multi-criteria decision making (MCDM) approach to deal with various criteria. Two MCDM methods are used such as Entropy to compute the criteria weights and RAFSI method to rank the alternatives. Two MCDM methods are used under the neutrosophic-Z number (NZN) to deal with uncertain and vague information. This study uses the neutrosophic HyperSoft set (NHSS) to find the relationship between different criteria. Seven criteria and eight alternatives are used in this study. An empirical application is applied to show the validation of the …

1st Place Contest Entry: "The Chip Off The Block": The 21st-Century Legacy Of Schoolhouse Rock!, Megan Lewandowski

Kevin and Tam Ross Undergraduate Research Prize

This is Megan Lewandowski's submission for the 2025 Kevin and Tam Ross Undergraduate Research Prize, which won first place. It contains their essay on using library resources, their bibliography, and a summary of their research project on the legacy of Schoolhouse Rock! in the 21st century.

Megan is a fourth-year student at Chapman University, majoring in Music and Psychology. Their faculty mentor is Dr. Carrie Dike.

Next-Generation Biomedical Implants And Stimuli Responsive Soft Optical Arrays Via Surface Functionalized Elastomeric Materials, John M. Kapitan

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The demands of emerging technologies, such as soft robotics, stretchable electronics, and next generation biomedical implants, has led to the development of diverse polymeric and hybrid organic/inorganic materials specifically tuned to meet these challenges. These materials typically have low Young’s moduli and are inert with high chemical stability. However, this has led to materials that are static in nature, lacking any meaningful way of responding to changes in their environment and adapting to these changes. This has driven a shift towards the design, manufacturing, and characterization of various stimuli responsive surfaces, relying on precise control of surface chemical coatings and …

Ground-Arthropod Assemblage Response To Groundwater As A Metric Of Flooding In The Middle Rio Grande, Wesley J. Noe

Water Resources Professional Project Reports

Riparian zones are dynamic ecosystems, crucial for maintaining biodiversity and ecological balance, particularly in arid environments like the Middle Rio Grande (MRG). Ground arthropods, with their sensitivity to environmental changes, serve as bioindicators for assessing the impacts of water regime changes in the MRG, specifically flooding which was historically the main driver of the MRG ecosystem. This study investigated the responses of ground arthropod communities to fluctuations in groundwater and land management practices within MRG riparian habitats. Using a combination of pitfall trapping and habitat assessments, arthropod abundance was assessed in relation to depth to groundwater (DTG). Findings revealed shifts …

Analysis Of The Potential Impacts Of Brine And The Main Challenges Of The Water Importing Project From The Gulf Of California To Phoenix, Arizona (Arizona Water Project Solution), Alejandro Corral Hernandez

Water Resources Professional Project Reports

In December 2022, the Arizona Water Project Solution (AWPS) was presented to the Water Infrastructure Finance Authority of Arizona (WIFA). The project proposes to develop, construct, and operate a Seawater Reverse Osmosis (SWRO) plant in Puerto Peñasco, Sonora, Mexico, and transport potable water through a 200-mile pipeline to supply the city of Phoenix, Arizona, in the United States.

This study includes a cross-multiple-case analysis, incorporating expert data and information, to evaluate the brine impacts and challenges faced in developing the five operational SWRO plants in Israel and the Claude “Bud” Lewis Carlsbad plant in California, United States. By identifying patterns, …

Ground-Arthropod Assemblage Response To Groundwater As A Metric Of Flooding In The Middle Rio Grande, Wesley Noe

Water Resources Professional Project Reports

Riparian zones are dynamic ecosystems, crucial for maintaining biodiversity and ecological balance, particularly in arid environments like the Middle Rio Grande (MRG). Ground arthropods, with their sensitivity to environmental changes, serve as bioindicators for assessing the impacts of water regime changes in the MRG, specifically flooding which was historically the main driver of the MRG ecosystem. This study investigated the responses of ground arthropod communities to fluctuations in groundwater and land management practices within MRG riparian habitats. Using a combination of pitfall trapping and habitat assessments, arthropod abundance was assessed in relation to depth to groundwater (DTG). Findings revealed shifts …

Spatial And Equity Analysis Of The Xeriscape Conversion Rebate Program In Albuquerque, Nm., Claire Jordy

Water Resources Professional Project Reports

With increasing water scarcity concerns threatening water supplies, many cities in the Western U.S. are focusing more effort on their water conservation programs to reduce consumptive water use. The Albuquerque Bernalillo County Water Utility Authority (Water Authority) in Bernalillo County, NM has had several water conservation programs in place since the 1990s, and still, they aim to further reduce water consumption. The Xeriscape Conversion Rebate Program is one of the primary tools to achieve this goal, encouraging customers to convert their high water-use turfgrass lawns to desert-friendly xeriscaping by providing a one-time rebate on their water bill. This rebate program …

Empowered Or Replaced? Ux Designers’ Perceptions Of Ai In The Workplace Through The Lens Of Self-Efficacy, Christine Lee

Executive DBA Dissertations

Designers navigate uncertainty and opportunity as artificial intelligence (AI) reshapes the UX landscape. This dissertation presents an exploratory study investigating how UX designers perceive the increasing prominence of AI in their professional work. It also applies Albert Bandura’s self-efficacy theory to organize the findings and examine how performance accomplishments, vicarious experiences, verbal persuasion, and physiological states influence their adaptation to AI. Findings indicate multiple perspectives in the sample interviewed: In this study, junior designers predominantly express anxiety over job security, while senior designers tend to embrace AI as a strategic partner that grants them a "seat at the table." Designers …

Intersectional Predictors Of Early Mathematics Identity Among Underrepresented Engineering-Interested Students, Douglas D. Havard, Adriana Quirós-Arauz

Education Faculty Articles and Research

This study examines the intersectional factors influencing early mathematics identity development among underrepresented secondary students (grades 9-10) with aspirations in engineering. Mathematics identity is a well-established predictor of long-term persistence in engineering, making its early formation critical to understanding student retention in the engineering pipeline. Grounded in Bronfenbrenner's bioecological framework, this study situates learning within nested layers of influence. Using data form the nationally representative High School Longitudinal Study of 2009 (HSLS:09), which includes over 23,000 9th-graders, a hierarchical multiple regression analysis was conducted. The analysis examined intersections of race and gender identity across 16 variables spanning individual, micro-, meso-, …

Evaluating Open-Source Machine Learning Ransomware Detection Techniques, Sydney Steckart

Master's Theses (2009 -)

Ransomware remains one of the most disruptive and damaging form of cyber threat affecting both larger and smaller organizations. It is becoming increasingly more important to find tools to mitigate this threat, and one route that is much more prevalent is using machine learning techniques for detection. This work explores open-source work geared towards ransomware detection with the aid of artificial intelligence as a means to provide a cost-effective alternative for organizations that may not have the funding to purchase the commercial solutions. Many tools and malware repositories were investigated, and one was further analyzed with a dataset specifically catered …

Experimental And Computational Investigation Of Ethylene Oxide Hydrate And Its Mixed Hydrates With Propane And Isobutane, Adebayo Paul Adeleye

Master's Theses (2009 -)

Gas hydrates represent an important class of crystalline solids, where water molecules form cage-like frameworks that encapsulate gas molecules. They have garnered significant attention for their unique properties and diverse applications in energy and environmental science. This study investigates the formation and vibrational properties of the ethylene oxide (EO) hydrate (structure I, sI) and EO-seeded hydrates of propane and isobutane (structure II, sII) using matrix isolation Fourier-transform infrared (FTIR) spectroscopy, supported by Density Functional Theory (DFT) calculations at the B3LYP/6-311++G(d,p) level of theory. Under low-temperature and low-pressure conditions, EO hydrate was formed by co-depositing a premix of EO and argon …

Evaluating The Effectiveness Of Llm-Generated Phishing Campaigns, Nathan Sniegowski

Master's Theses (2009 -)

This paper investigates the effectiveness and security implications of Large Language Models (LLMs) in phishing campaigns. Existing research has explored using LLMs and AI for enterprise security tools and automating phishing email processes. However, few studies evaluated the effectiveness of fine-tuned LLMs in generating phishing email content and measuring real-world user interaction. This research used LLMs to produce the body content of phishing emails with phishing links manually inserted post-generation. The researcher performed three core experiments: (1) evaluating the success rate of jailbreaking three commercial LLMs to generate phishing content, (2) analyzing ChatGPT-4o mini’s phishing emails based on institution-specific context …

Successful Career Construction In The Fourth Industrial Revolution: Young Graduates In The Uae, Ayman Ahmed, Sami Mejri, Nada Rabie, Stephen Wilkins

Journal of Comparative & International Higher Education

No abstract provided.