Digital Commons Network^™

Trustworthiness And Trust: Identifying Factors That Drive Successful Human-Ai Interaction In Nuclear Power Plant Applications, Yusuke Yamani, Austin Jackson, Casey Kovesdi, Jeffrey Joe, Jeremy Mohon

Psychology Faculty Publications

Emerging technologies such as artificial intelligence (AI) and machine learning are rapidly evolving and promising tools for efficient and continued safe operations of the U.S. nuclear power plants (NPPs). Emerging AI techniques like large language models (LLMs) are one such technology that may help personnel at existing NPPs perform work more efficiently. For example, operators may query the current operational status of a power plant via a chat interface, leveraging LLMs to access plant-related information in an interactive manner rather than manually collecting various sensor data for surveillance or work order tasks. This is a fundamental shift in the way …

Exploring Institutional Stratification: Minority-Serving Institutional Pathways To Medical School Acceptance In The United States, Amanda K. Burbage, Eushekia Y. Hewitt

EVMS School of Health Professions Faculty Publications

Introduction

Recruiting and training a diverse pool of physicians from historically excluded groups is vital to solving complex scientific problems and increasing access to patient care. Disparate educational and health outcomes of COVID-19 amplified this need. In stratified higher education systems, underfunded institutions that serve greater numbers of underrepresented in medicine (URM) students face unique barriers to entering physician training. However, pathways from historically underfunded minority-serving institutions (MSIs) in the United States to medical school (MD) are not well understood.

Method

A hierarchical logistic regression analysis of 328 488 de-identified applicants to US MD-granting medical schools for academic years 2017-2018 …

How Personalized Chatbots Win Customer Loyalty, Jaeha Lee, Dooyoung Choi

Educational Leadership & Workforce Development Faculty Publications

The study applies affordance theory to investigate how perceived personalization influences loyalty through cognitive, affective, and social drivers. Data was collected from 220 participants who watched a video of a chatbot interaction and then assessed their loyalty intentions. While all paths were significant between personalization and consumer’s willingness to stay, the effects of personalization on consumer’s willingness to recommend the retailers to others were slightly different. If companies aim to capitalize on word-of-mouth marketing, it will be better to prioritize cognitive and affective qualities of chatbot over social qualities, because the latter did not contribute significantly to word-of-mouth intentions about …

Student Perspectives On Universal Design For Learning (Udl): Q-Methodology, Taylor Rodriguez, Michelle Bartlett, James Bartlett

Educational Leadership & Workforce Development Faculty Publications

This study aims to examine community college students’ unique viewpoints of the Universal Design for Learning (UDL) 3.0 guidelines through Q-methodology. This study will provide the unique perspectives students bring toward UDL to better inform faculty when implementing UDL into the instructional process and instructional designers when designing learning for community college students. The findings revealed student viewpoints toward UDL. Due to the findings, it is recommended that curriculum designers and instructors consider these viewpoints when communicating about the course and the design of the learning.

The Launch Of An Undergraduate Accelerated Program: Initial Quantitative Data, C. Tomovic, M. Bartlett, M. Tomovic, V. Jovanovic, S. Bawab

Educational Leadership & Workforce Development Faculty Publications

The launch of an accelerated Training Specialist undergraduate program at a U.S. public university began with a pilot course in Fall 2024. This paper presents initial quantitative findings from pre- and post-course surveys designed to assess students' perceptions of the benefits of accelerated courses, as defined in the literature, as well as their self-perception as self-directed learners. The survey results revealed significant changes in students' views on the advantages of accelerated courses, particularly in terms of completing their degree more quickly and better managing family obligations. Additionally, the surveys showed a notable shift in students' perceptions of themselves as self-directed …

Debt Decisions: The Effects Of Paying For College In The United States With Student Loans, Kim E. Bullington, David J. Thomas, Minghui Hou, William L. Nuckols, Dennis E. Gregory, Joshua L. Howell, Kaycee L. Bills, Amy-Leah Joaquim

Educational Leadership & Workforce Development Faculty Publications

Student loans have increasingly become a burden on individuals. This qualitative analysis explores how structural inequities and financial literacy gaps influence U.S. student loan borrowers’ decisions to finance postsecondary education. The study highlights racial and economic disparities examining participants’ reflections on debt aversion and systemic barriers to equitable access. We asked why participants took out Federal student loans, asked about their decision processes when taking on debt, whether participants took any action to reduce accumulated debt, and if they’d made any discoveries about their decisions to take on student loan debt. After coding and a thematic analysis, five themes and …

Self-Efficacy And Stem Education: A Study Of Family And Consumer Science Teachers In Pennsylvania, Charlene Smith, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

Science, technology, engineering, and mathematics (STEM) education has become widely promoted. Family and Consumer Sciences (FCS) uses science to improve home life while reinforcing technology, engineering, and mathematics principles. However, FCS is not usually recognized as a STEM subject. The purpose of this study was to determine what factors may affect FCS teachers’ level of self-efficacy in teaching STEM to provide supports that improve teaching practices. This quantitative study surveyed secondary FCS teachers in Pennsylvania using the T‐STEM Survey for Elementary Teachers. Results were analyzed using descriptive statistics and simple linear regression analysis was performed to determine the predictive …

Feel Bad To Discard A Fashion Product: How Ai Designers Influence Individuals' Sustainable Consumption, Ha Kyung Lee, Dooyoung Choi

Educational Leadership & Workforce Development Faculty Publications

This study explores how AI technology in fashion design influences consumers' sustainable consumption behaviors, focusing on emotional attachment to products. By comparing AI-generated and human-designed fashion items, the study examines how designer type impacts negative emotions about discarding products, mediated by emotional attachment. Results from two experimental studies reveal that designer type significantly affects negative emotions toward discarding human-designed items, but emotional attachment was not influenced by designer type in the first study. This lack of difference may be due to personal characteristics that moderate the effect. The second study found that individuals who perceive AI as human-like form stronger …

Voices From The Field: A Q Methodology Study In Postsecondary Cte Faculty Retention, Brandon Hensley, James E. Bartlett, Michelle Bartlett

Educational Leadership & Workforce Development Faculty Publications

The postsecondary career and technical education (CTE) faculty shortages intensify challenges in recruiting and retaining qualified faculty. This study examines the viewpoints of faculty regarding workplace experiences and values concerning retention using Q methodology. Grounded in Herzberg’s Two-Factor Theory and Job Embeddedness Theory, the research identifies viewpoints toward remaining in the profession. A Q-set of 64 statements was developed through an academic literature review, contemporary publications, social media, and expert input. Thirty-four CTE faculty from multiple institutions sorted the statements on −7 to +7 forced distribution under the condition of “statements that influence their desire to stay in their roles”. …

Influence Of Faculty-Derived Concept Maps On Student Study Strategies, Kaitlin P. Hardy, Amanda K. Burbage, Julie A. Kerry

EVMS School of Health Professions Faculty Publications

Background

Concept mapping is a well-established tool for students to actively organize information into a visual and spatial framework. However, some students are resistant to adopting concept mapping as a study strategy due to the time and effort involved in generating the maps. In this study, we explored student perceptions of faculty-derived concept maps (FD-maps) developed to accompany content within a Foundational Science module in a medical school curriculum. We subsequently investigated whether student use of FD-maps helped overcome resistance to adoption of concept mapping.

Methods

Student evaluation data was analyzed using a mixed methods approach to explore student perceptions …

In Search Of The Rational Voter In The 2020 Presidential Election: Understanding The Impact Of Voter Costs And Benefits On Turnout, Norou Diawara, Tiffany Henley, Samuel L. Brown, Md Iqbal Hossain

Mathematics & Statistics Faculty Publications

The ability to vote is one of the most valuable rights and privileges afforded by the Constitution of the United States to its citizens. For many, voting is not just a civic duty; it is also a choice. Voting is crucial to our democracy, and any changes to it may affect the efficiency of the democratic process. The bigger question is whether voters behave rationally by engaging in a cost-benefit calculus in deciding whether or not to vote. Using data science, this paper will examine the probability of voting and investigate its impact via cost and benefit among other variables …

Reduced Set-Shifting Processing Speed In Male Rats Following Low Dose (10 Cgy) Proton Exposure, Hui Ho Vanessa Chang, Gyutae Kim, Kyu-Sung Kim, Richard A. Britten

Center for Integrative Neuroscience and Inflammatory Diseases (CINID) Faculty Publications

Space radiation (SR) exposure poses significant biomedical risks, including effects on the central nervous system (CNS). These risks are particularly relevant to cognitive function during long-duration space missions. One critical cognitive skill is decision-making, which requires attentional set-shifting (ATSET)—the ability to quickly assess problems, evaluate options, and select the best actions. Previous studies have shown that exposure to However, the impact of low LET (< 1 keV/μm) protons, which significantly contribute to the total radiation flux astronauts encounter within spacecraft, on ATSET performance is unknown. To address this gap, we evaluated the effects of cranial irradiation with 10 cGy of 100 MeV/n protons (LET = 0.732 keV/μm) on ATSET performance in male Sprague-Dawley rats. We also investigated whether concurrent exposure to variable gravity (hypergravity step-up, step down, purported to have the same effect as exposure to microgravity (another major spaceflight stressor) exacerbated SR-induced cognitive deficits. Our findings indicate that proton exposure alone significantly impaired ATSET performance, as evidenced by decreased processing speed while performing compound discrimination reversal and extra-dimensional shifting. Notably, no additive or synergistic effects were observed when hypergravity was combined with proton exposure. The impact that low-dose proton exposure has on CNS functionality, particularly in reducing processing speed during complex tasks, warrant further investigation. If similar cognitive deficits were to occur in astronauts exposed to galactic cosmic rays, mission success and safety could be significantly compromised.

Neuroinflammatory Signaling And Immune Cell Infiltration Differ In Brains Of Rats Exposed To Space Radiation And Social Isolation, Austin M. Adkins, Zachary N. M. Luyo, Alea F. Boden, Riley S. Heerbrandt, Richard A. Britten, Laurie L. Wellman, Larry D. Sanford

Center for Integrative Neuroscience and Inflammatory Diseases (CINID) Faculty Publications

Astronauts on the proposed Mars missions will be exposed to extended periods of social isolation (SI) and space radiation (SR). SI and SR-induced immune dysregulation can result in persistent neuroinflammation and neuronal damage which could negatively impact an astronaut’s health and ability to maintain adequate levels of performance. The synergistic effects of combined SI and SR on immune system functionality and the brain remain unknown. Determining how single and combined inflight stressors modulate the immune system is crucial for fully understanding pathways impacting astronaut health and performance. We used ground-based analogs of SI and SR in rodent models to investigate …

Predicting Mental Health Disparities Using Machine Learning For African Americans In Southeastern Virginia, Ismail El Moudden, Michael C. Bittner, Matvey V. Karpov, Isaac O. Osunmakinde, Akosua Acheamponmaa, Breshell J. Nevels, Mamadou T. Mbaye, Tonya L. Fields, Karthiga Jordan, Messaoud Bahoura

Department of Obstetrics & Gynecology Faculty Publications

This study examined mental health disparities among African Americans using AI and machine learning for outcome prediction. Analyzing data from African American adults (18–85) in Southeastern Virginia (2016–2020), we found Mood Affective Disorders were most prevalent (41.66%), followed by Schizophrenia Spectrum and Other Psychotic Disorders. Females predominantly experienced mood disorders, with patient ages typically ranging from late thirties to mid-forties. Medicare coverage was notably high among schizophrenia patients, while emergency admissions and comorbidities significantly impacted total healthcare charges. Machine learning models, including gradient boosting, random forest, neural networks, logistic regression, and Naive Bayes, were validated through 100 repeated 5-fold cross-validations. …

Mobile Health Intervention Tools Promoting Hiv Pre-Exposure Prophylaxis Among Adolescent Girls And Young Women In Sub-Saharan Africa: Scoping Review, Alex Emilio Fischer, Homaira Hanif, Jacob B. Stocks, Aimee E. Rochelle, Karen Dominguez, Eliana Gabriela Armora Langoni, H. Luz Mcnaughton Reyes, Gustavo F. Doncel, Kathryn E. Muessig

Department of Obstetrics & Gynecology Faculty Publications

Background:

In 2022, 3100 adolescent girls and young women in sub-Saharan Africa experienced new HIV infections each week. HIV pre-exposure prophylaxis (PrEP) is effective at preventing HIV but has limited uptake and persistence. Mobile health (mHealth) interventions can improve medication adherence; however, their utility to improve PrEP adherence among adolescent girls and young women is not well established.

Objective:

This scoping review synthesizes evidence supporting mHealth for PrEP among adolescent girls and young women in sub-Saharan Africa and identifies strategies for further evaluation.

Methods:

We searched PubMed and Google Scholar databases, expert referrals, and reference lists using the following eligibility …

Racial Disparities In Maternal Mortality Before, During, And After The Covid-19 Pandemic In The United States: A Difference-In-Difference Analysis, Kyosuke Kamijo, Misa Hayasaka, Tetsuya Kawakita

Department of Obstetrics & Gynecology Faculty Publications

Background

This study aimed to examine changes in racial disparities in pregnancy-related and maternal mortality before, during, and after the COVID-19 pandemic in the United States.

Methodology

This was a cross-sectional study using the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) data from January 2018 to June 2024. We focused on pregnancy-related and maternal mortality among Black and White individuals to examine racial disparities. The study periods were defined as pre-pandemic (January 2018-March 2020), pandemic (April 2020-March 2022), and post-pandemic (April 2022-June 2024). We applied interrupted time series analysis and difference-in-difference (DID) models …

Treatment Effects Of Genital Mycoplasma Species In High-Risk Pregnant Individuals: A Retrospective Cohort Study, Takashi Yoshimasu, Tasuku Inao, Tetsuya Kawakita

Department of Obstetrics & Gynecology Faculty Publications

Objective

We aimed to estimate the causal effect of treatment for genital Mycoplasma species on preterm birth (PTB) and spontaneous abortion (SA). We also evaluated treatment effects separately for cases with co-infection of Ureaplasma and Mycoplasma species.

Methods

This was a retrospective observational cohort study at a single center. Singleton mothers with one or more risk factors for PTBs were screened and treated for genital Mycoplasma species. The treatment was repeated based on polymerase chain reaction (PCR) results after each course. We applied inverse probability treatment weighting, and risk differences (RDs) of the treatment effect on pregnancy outcomes were estimated …

Exploring Automatic And Reflective Nudges For Smishing, Morgan E. Edwards

Psychology Theses & Dissertations

Phishing has been a common problem in the world of cybersecurity for over a decade, leading to significant monetary and privacy losses. Phishing attacks commonly occur via email, but there has been a rise in a new form of phishing known as SMiShing. This attack vector occurs similarly to email phishing, except the malicious message is received via SMS text. While ways to mitigate phishing via email have been widely studied, there is a lack of research on SMiShing and ways to mitigate this problem from a human-centered approach. Interventions such as digital nudges have been successfully applied to …

Preliminary Validity Of A Daily Functional Status Pain Assessment Tool, Wally R. Smith, Rehan Qayyum, Alexandra Ulbing, Margaret S. Guy, Daniel M. Sop, Yue May Zhang

Department of Medicine Faculty Publications

Objectives: Readiness for discharge for a sickle cell disease vaso-occlusive crisis is dictated by factors far beyond pain control, including physical function/activity. We therefore designed and tested a functional status-based pain assessment questionnaire in SCD patients hospitalized with vaso-occlusive crises.

Methods: Sickle cell disease patients on a preselected nursing unit rated 10 draft Functional status-Based Pain Assessment items of activities of daily living on a 5 point Likert scale (0-5) from “very easy” to “very difficult” daily on each day of their admission until discharge, at approximately the same time. Concurrently, they reported Numeric Rating Scale (0-10) pain intensity. …

Blunt Trauma Causing Thrombotic Occlusive Myocardial Infarction, Jace Bradshaw, Alleabelle Bradshaw, Rishab Agarwal, P. Logan Weygandt

Department of Medicine Faculty Publications

Introduction: Traumatic myocardial infarction (TMI) is a rare but serious complication of blunt chest trauma, typically arising from coronary artery dissection, intramural hematoma, or myocardial contusion. Early recognition and intervention are critical, but diagnosis can be challenging given the broad differential for chest pain in trauma patients.

Case presentation: A 66-year-old female presented to a quaternary academic emergency department after a motor vehicle collision with progressive chest pain. Initial electrocardiogram (ECG) showed hyperacute T-waves in lead III, ST depression with T-wave inversion in aVL, and ST depression in V2, with posterior leads revealing ST elevation in V7–V9. Trauma imaging ruled …

Frailty And Sleep In Adult Survivors Of Childhood Cancer: A Childhood Cancer Survivor Study Report, Lauren C. Daniel, Margaret M. Lubas, Huiqi Wang, Mariana Szklo-Coxe, Kirsten K. Ness, Annalynn M. Williams, Daniel A. Mulrooney, Rebecca Howell, Wendy Leisenring, Yutaka Yasui, Leslie L. Robinson, Gregory T. Armstrong, Eric J. Chow, Kevin R. Krull, Tara M. Brinkman

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background

Young adult survivors of childhood cancer exhibit rates of frailty similar to adults several decades older without a cancer history. Frailty has been associated with sleep disturbances in non-cancer populations, but the relationship has not been examined in childhood cancer survivors who are known to exhibit elevated rates of sleep problems.

Aims

Examine associations between frailty and poor sleep quality in long-term survivors of childhood cancer.

Methods

This study utilized data from 9044 participants (> 5 years from diagnosis, M(age) = 40.8 years [SD = 9.5]) in the Childhood Cancer Survivor Study. Survivors' frailty status, chronic health conditions (CHC), …

Modeling Non-Normal Distributions With Mixed Third-Order Polynomials Of Standard Normal And Logistic Variables, Mohan D. Pant, Aditya Chakraborty, Ismail El Moudden

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Continuous data associated with many real-world events often exhibit non-normal characteristics, which contribute to the difficulty of accurately modeling such data with statistical procedures that rely on normality assumptions. Traditional statistical procedures often fail to accurately model non-normal distributions that are often observed in real-world data. This paper introduces a novel modeling approach using mixed third-order polynomials, which significantly enhances accuracy and flexibility in statistical modeling. The main objective of this study is divided into three parts: The first part is to introduce two new non-normal probability distributions by mixing standard normal and logistic variables using a piecewise function of …

Psychedelic Minimalism: The Case Against Music In Psychedelic Therapy Settings, Samir A. Nader

Department of Medicine Faculty Publications

[Introduction: reframing the role of setting] In recent years, renewed attention has been given to the centrality of set and setting in psychedelic-assisted therapy. The Reporting of Setting in Psychedelic Clinical Trials (ReSPCT) guidelines reflect an evolving consensus: therapeutic outcomes are not solely pharmacologically determined but are heavily shaped by both the environment and the psychological state of the participant (2). Within this evolving paradigm, music has assumed a privileged role, framed as a therapeutic constant, typically curated to be emotionally supportive or evocative, and especially emphasized during peak psychedelic states (3). The prevailing assumption is that music facilitates safety, …

Psychosocial Determinants Of Public Transportation Use Among Brazilian And American Users: An Integrated Modeling Approach, Ingrid Luiza Neto, Hartmut Günther, Bryan E. Porter, Taciano L. Milfont, Pastor Willy Gonzales Taco, Caroline Cardoso Machado

Psychology Faculty Publications

Overreliance on cars can promote individual, environmental, economic and social problems, requiring the development of measures to reduce car use and encourage the use of more sustainable transport options. Contributing to this call, here we report a cross-cultural study conducted in Brazil (n = 312) and the United States (n = 518) investigating the applicability of the model of Bamberg and Möser in predicting the use of public transport. Results indicated the model is equivalent across samples, regarding both the measures and the relations between the variables of the model. Intention strongly predicted self-reported public transport behaviour, explaining 70% of …

Drinking Motives And Alcohol Sensitivity Mediate Multidimensional Genetic Influences On Alcohol Use Behaviors, Jeanne E. Savage, Spit For Science Working Group, Danielle M. Dick

Psychology Faculty Publications

Background

Genetic influences account for a substantial proportion of individual differences in alcohol use behaviors (AUBs). However, multiple distinct sets of genes are linked to different AUBs via uncertain causal links. Here, we explore whether intermediate neurobiological traits mediate the relationship between polygenic scores (PGSs) and multiple AUBs, with the aim to better understand processes captured by different genetic profiles.

Methods

We derived four alcohol-related PGSs in participants from Spit for Science, a longitudinal study of college students in the United States (n=4549). Using linear regression, we tested the relationship between PGSs and 22 potential mediators, including personality, …

A Case Study Using The Transparency Framework And Artificial Intelligence To Promote Effective Writing And Student Success In A Writing-Intensive Course, Elizabeth A. Brown, Maria Kronenburg, Ashlee Steeley, Diana Tagbor

Health Behavior, Policy & Management Faculty Publications

Program evaluation data suggest that undergraduate students struggle with writing in a clear and concise manner and appropriately citing. Faculty implemented the plan-do study-act cycle to pilot the Transparency in Learning and Teaching (TILT) project framework and to explore the use of artificial intelligence (AI) and discuss approaches to using AI, along with the TILT framework, in a writing-intensive course to identify the pros and cons of using ChatGPT in an online classroom. The TILT framework reinforces adult learning by helping students clearly understand the assignment's purpose and establish a clear relationship between assignment and students' professional lives. Faculty encouraged …

Examining Low-Income Caregivers' Knowledge And Comprehension Of The Dental Caries Process, Melissa Sullivan, Denise C. Mckinney, Deanne Shuman, Qi Zhang

Dental Hygiene Faculty Publications

Purpose Dental caries among young children remains a public health concern in the United States (US). Children of caregivers with low oral health literacy (OHL) tend to have greater unmet dental needs and poorer oral health status. The purpose of this study was to examine the understanding of pediatric dental terms associated with the dental caries process among low-income caregivers.

Methods This study included 14 caregivers with children enrolled in a Special Supplemental Nutrition Program for Women, Infants and Children (WIC) in the Southeastern US. Through structured phone interviews, the validated Oral Health Literacy Inventory for Parents (OH-LIP) was used …

A Qualitative Analysis Of College Students' Interest In Mhealth Solutions, Leslie Hoglund, Craig M. Becker, Cara Tonn

Health Behavior, Policy & Management Faculty Publications

This study explores college students' perceptions of an AI-driven mHealth application designed to promote well-being. With rising mental health challenges in academic settings, students increasingly seek digital tools that provide holistic support for physical, mental, and financial health. Through focus groups, this qualitative study examines students' preferences for personalized health tracking, educational content, and flexible reminders within a private, supportive community. Key findings emphasize students' desire for a balanced, all-in-one app that integrates health and wellness tools without overwhelming them with notifications. Students also highlighted the importance of social media integration for outreach, though concerns were raised about potential stress …

Leveraging Custom Gpts For Formative Assessment And Feedback, Nari Kim, Jason Vickers, Shaimaa Alyehaibi, Chikezie Ozuzu, Xinyue Ren, Suhasini Kotcherlakota

STEMPS Faculty Publications

As artificial intelligence (AI) advances, the use of custom generative pre-trained transformers (Custom GPTs) in formative assessments opens new opportunities for improving student learning and engagement. Custom GPTs increase cognitive and emotional engagement by providing timely, context-sensitive, and tailored responses based on unique learner profiles. This paper aims to investigate how custom GPT-driven formative feedback can enhance individualized learning experiences and improve student performance. This paper will discuss the promise of this AI tool, the challenges associated with its application, and recommendations for educators and academics looking to use these technologies for formative assessments.

Designing Tpack-Driven Mobile Learning With Digital Citizenship For Biology Education: Insights From Ngt And Ism Approaches, Cik Jamaliah Abd Manaf, Shakinaz Desa, Muhamad Ikhwan Mat Saad, Helen Crompton

STEMPS Faculty Publications

The rapid digitization of education and the complexity of scientific content demand the integration of digital citizenship in TPACK-based mobile learning for Biology. This study aimed to identify and prioritize relevant digital citizenship practices using a Design and Development Research approach. In Phase One, the Nominal Group Technique with 10 experts evaluated eight proposed practices. Phase Two employed Interpretive Structural Modeling with nine experts to structure hierarchical relationships. Seven practices were retained, with Ethical Use of Digital Resources as the top-level driver. The resulting framework supports ethical and discipline-specific mobile learning models, promoting responsible digital engagement in Biology education.