Digital Commons Network^™

Genscore: Agent-Based Short-Answer Question Generation And Scoring In Software Engineering Courses, Nguyen Binh Duong Ta, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Short-answer questions are commonly used in educational assessments, as they are often viewed as a more effective way than multiple-choice questions to determine whether students have achieved the intended learning outcomes. However, manually creating appropriate questions targeting different cognitive levels such as those defined by the Bloom’s Taxonomy, and grading text answers from students are not trivial tasks for instructors. Existing work on auto-question generation and scoring in computing education typically targets coding-based questions. However, in software engineering courses, assessments can extend beyond coding to understanding of processes, DevOps methodologies, system design, etc. This work aims to address the dual …

Reliable-Data-Split (Rds): Maximizing Model Potential With Reinforced Selection Strategy, Hoang D. Nguyen, Xuan-Son Vu, Quoc Tuan Truong, Duc-Trong Le

Research Collection School Of Computing and Information Systems

The nexus between data characteristics and parametric models is fundamental for developing effective and reliable artificial intelligence (AI) systems. Mismatches in data properties for model development may lead to deleterious effects on AI model performance in machine learning practice. This paper proposes a Reliable Data Split (RDS) procedure to learn how to select data points that will generalise the target domain adequately by employing prior knowledge of the data generative process. We introduce a reinforced selection strategy using deep reinforcement learning with diverse black box predictors in maximising ensemble rewards as the proxy of model performance potential while maintaining an …

Immersion In Virtual Cultural Heritage: Framework, Research Landscape, Future Directions, And Ongoing Study, Xuenan Huo, Keng Siau

Research Collection School Of Computing and Information Systems

This study proposes that a nuanced understanding of immersion’sdistinct dimensions and their mediating role between technical de-sign features and cultural learning outcomes is critical for advancingVirtual Cultural Heritage (VCH) research and practice. To advancethe immersion designs in the field of VCH, the study provides anoverview of the immersion nuances and research state-of-the-artof VCH studies. A tripartite framework of spatial, emotional, andsocial immersion in virtual environments is articulated. A litera-ture review was conducted based on this framework. The reviewreveals multiple research gaps and opportunities, including absenceof immersion, predominant focus on spatial immersion, lagged AIintegration, lack of accessibility and inclusive designs, and …

Identifying Alcohol Intervention-Relevant Constructs For Greek Life: Examining Across Greek Membership And Gender Among College Students, Emily Susan Renzoni

Psychology Theses & Dissertations

Among college populations, students who are members of social Greek life organizations (i.e., social fraternities and sororities) drink more and experience higher rates of negative alcohol-related consequences than their non-affiliated peers. Although there has been success of alcohol interventions in general college populations, research has shown that college drinking interventions that are delivered to students in Greek life are not efficacious in reducing alcohol consumption or related consequences. It is meaningful to investigate if the content commonly addressed in these interventions, although well-documented as being linked to drinking in the general college population, has the same associations for students who …

Exploring The Impact Of Identity-Based Bullying On Suicidal Thoughts And Behaviors Among 6th-12th Grade Youth In Virginia, Camille N. Johnson

Psychology Theses & Dissertations

Suicidal thoughts and behaviors (STBs) are a growing public health concern among youth. Bullying victimization is a robust risk factor for STBs and identity-based bullying (IBB) or bullying that occurs due to a person’s actual or perceived social-identity/identities that is ingrained in discrimination, prejudice, or bias, has been found to be more strongly associated with STBs compared to bullying that was unrelated to identity. The current study used data from the Virginia School Survey of Climate and Working Conditions (N=399,493) to examine associations between general bullying, adult-perpetrated bullying, and IBB with depression and STBs among 6th-12th grade youth. This study …

Examining The Relations Between Parenting Stress, Harsh Parenting Practices, And Children’S Internalizing And Externalizing Symptoms, Caitlin A. Wharton

Individual, Family, and Community Education ETDs

This study examines: relations between maternal parenting stress in infancy and preschool-aged children’s internalizing and externalizing symptoms; whether verbal and physical harsh parenting practices mediate these relations; and whether these relations are moderated by child gender. Research links maternal parenting stress to harsh parenting, which is a risk factor for children’s internalizing and externalizing symptoms. But limited research has examined how maternal stress in infancy affects preschool-aged children’s outcomes, or how verbal and physical harsh parenting practices independently affect these outcomes. The study data came from the Future of Families & Child Wellbeing Study. Results indicate maternal parenting stress in …

Thesis A Reimagined World Language Curriculum For Secondary Education-Does Culture Matter?, Florence Duncan

Teacher Education, Educational Leadership & Policy ETDs

The focus of this study is culture within the New Mexico high school world language

curriculum. Culture, as a topic, over time has evolved from near nonexistence to

becoming a fundamental element helping students derive multilingual and multicultural

understanding.

This study is an effort to reveal practices high school teachers use to teach, discuss and

evaluate cultural understanding. It uses qualitative interviews with high schools world

language teachers. Practices are evaluated against research findings and analyzed for

reliability and effectiveness. Findings will help with curriculum design for world language

application.

Overall, the study’s findings were positive. Interviewed teachers generally incorporate …

Mando-Llm: Heterogeneous Graph Transformers With Large Language Models For Smart Contract Vulnerability Detection, Nhat Minh Nguyen, Huu Hoang Nguyen, Long Le Thanh, Zahra Ahmadi, Thanh Nam Doan, Daoyuan Wu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Detecting vulnerabilities in smart contracts is vital for the security and reliability of decentralized apps. To facilitate vulnerability detection, contract codes, including bug patterns, are represented as heterogeneous graphs with various nodes and edges, like control-flow and function-call graphs. However, existing graph learning techniques struggle with large, complex graphs. This paper presents MANDO-LLM, a novel framework that combines heterogeneous graph transformers (HGTs) with large language models (LLMs) for detecting vulnerabilities in smart contracts represented as heterogeneous contract graphs built upon control-flow and call graphs. MANDO-LLM uses LLMs to capture code features from control-flow and call data, customizes HGTs to learn …

Evaluating Defi Vulnerabilities: The Role Of Bug Bounty Programs On Defi Software Supply Chain, Ping Fan Ke, Yi Meng Lau, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Decentralized finance (DeFi), powered by blockchain technology, enables peer-to-peer financial transactions without intermediaries. Despite rapid adoption, DeFi attracts malicious actors exploiting vulnerabilities. To mitigate risks, we propose a framework assessing entry points in the DeFi software supply chain: smart contracts, oracles/third-party feeds, user interfaces, off-chain storage, and crypto wallets. Applying this framework, we evaluate whether industry solutions—particularly bug bounty programs—adequately address these gaps. Our preliminary analysis indicates that most programs cover smart contract vulnerabilities (85.7%), followed by user interface issues (21.3%) and crypto wallet loopholes (11.9%). However, third-party risks, such as oracle feeds, are frequently deemed out of scope. This …

A Socio-Technical Analysis Of Market Reactions On Meme Coins: Trump’S Presidential Effect, Ping Fan Ke, Yi Meng Lau

Research Collection School Of Computing and Information Systems

Meme coins are a unique type of cryptocurrency whose value is shaped by internet culture and viral trends. This study introduces a socio-technical research model to examine key factors influencing meme coin dynamics and applies it to analyze market reactions to Donald Trump’s 2024 U.S. presidential election victory and inauguration, focusing on the $TRUMP meme coin and other politics-related meme coins, known as PolitiFi. Using a mixed-methods approach, we analyze publicly available news, social media activity, and marketplace data to investigate the interaction between social engagement and technical infrastructure. Econometric analysis shows that Trump-related events triggered short-term price surges, increased …

Jury-And-Judge Chain-Of-Thought For Uncovering Toxic Data In 3d Visual Grounding, Kaixiang Huang, Qifeng Zhang, Jin Wang, Jingru Yang, Yang Zhou, Huan Yu, Guodong Lu, Shengfeng He

Research Collection School Of Computing and Information Systems

3D Visual Grounding (3DVG) faces persistent challenges due to coarse scene-level observations and logically inconsistent annotations, which introduce ambiguities that compromise data quality and hinder effective model supervision. To address these challenges, we introduce Refer-Judge, a novel framework that harnesses the reasoning capabilities of Multimodal Large Language Models (MLLMs) to identify and mitigate toxic data. At the core of Refer-Judge is a Jury-and-Judge Chain-of-Thought paradigm, inspired by the deliberative process of the judicial system. This framework targets the root causes of annotation noise: jurors collaboratively assess 3DVG samples from diverse perspectives, providing structured, multi-faceted evaluations. Judges then consolidate these insights …

Misodice: Multi-Agent Imitation From Mixed-Quality Demonstrations, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

We study offline imitation learning (IL) in cooperative multi-agent settings, where demonstrations have unlabeled mixed quality - containing both expert and suboptimal trajectories. Our proposed solution is structured in two stages: trajectory labeling and multi-agent imitation learning, designed jointly to enable effective learning from heterogeneous, unlabeled data. In the first stage, we combine advances in large language models and preference-based reinforcement learning to construct a progressive labeling pipeline that distinguishes expert-quality trajectories. In the second stage, we introduce MisoDICE, a novel multi-agent IL algorithm that leverages these labels to learn robust policies while addressing the computational complexity of large joint …

No Experts, No Problem: Avoidance Learning From Bad Demonstrations, Minh Huy Hoang, Tien Mai, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

This paper addresses the problem of learning avoidance behavior within the context of offline imitation learning. In contrast to conventional methodologies that prioritize the replication of expert or near-expert demonstrations, our work investigates a setting where expert (or desirable) data is absent, and the objective is to learn to eschew undesirable actions by leveraging demonstrations of such behavior (i.e., learning from negative examples).To address this challenge, we propose a novel training objective grounded in the maximum entropy principle. We further characterize the fundamental properties of this objective function, reformulating the learning process as a cooperative inverse Q-learning task. Moreover, we …

A Partition Cover Approach To Tokenization, Jia Peng Lim, Shawn Tan, Davin Choo, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Tokenization is the process of encoding strings into tokens of a fixed vocabulary size, and is widely utilized in Natural Language Processing applications. The leading tokenization algorithm today is Byte Pair Encoding (BPE), which formulates the tokenization problem as a compression problem and tackles it by performing sequences of merges. In this work, we formulate tokenization as an optimization objective, show that it is NP-hard via a simple reduction from vertex cover, and propose a polynomial-time greedy algorithm GreedTok. Our formulation naturally relaxes to the well-studied weighted maximum coverage problem which has a simple -approximation algorithm GreedWMC. Through empirical evaluations …

When Less Language Is More: Language-Reasoning Disentanglement Makes Llms Better Multilingual Reasoners, Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu

Research Collection School Of Computing and Information Systems

Multilingual reasoning remains a significant challenge for large language models (LLMs), with performance disproportionately favoring high-resource languages. Drawing inspiration from cognitive neuroscience, which suggests that human reasoning functions largely independently of language processing, we hypothesize that LLMs similarly encode reasoning and language as separable components that can be disentangled to enhance multilingual reasoning. To evaluate this, we perform a causal intervention by ablating language-specific representations at inference time. Experiments on 10 open-weight LLMs spanning 11 typologically diverse languages show that this language-specific ablation consistently boosts multilingual reasoning performance. Layer-wise analyses further confirm that language and reasoning representations can be effectively …

Sheetpedia: A 300k-Spreadsheet Corpus For Spreadsheet Intelligence And Llm Fine-Tuning, Zailong Tian, Zhuoheng Han, Houfeng Wang, Lizi Liao

Research Collection School Of Computing and Information Systems

Spreadsheets are widely used for data analysis and reporting, yet their complex structure and formula logic pose significant challenges for AI systems. We introduce Sheetpedia, a large-scale corpus of over 290,000 diverse spreadsheets (from 324,000+ workbooks) compiled from enterprise email archives and online forums. We detail a rigorous collection and preprocessing pipeline (integrating the Enron email spreadsheet archive and the Fuse web corpus, plus a new crawl of Excel forums) to standardize formats, filter languages, and remove duplicates. Sheetpedia provides extensive coverage of real formulas and annotations – addressing a gap left by prior table datasets (e.g. web tables used …

Introducing Statistical And Machine Learning-Based Methods Of Enhancing The Resiliency And Security Of Electrical-Based Critical Infrastructure, Joshua Tyler

Masters Theses and Doctoral Dissertations

Since its introduction into society in the late 1800’s, electricity has become a critical component in how society has functioned. High-voltage electricity provides power for appliances that have become integral to daily living, such as lights, refrigeration, and Heating, Ventilation, And Cooling (HVAC). Low-voltage electricity is used to process and transmit information on and between computers. This information may pertain to medical, financial, and defense-related activities. Over the past hundred years, significant research has been performed to improve electrical-based technology’s capability, scale, resiliency, and security. This study focuses solely on resiliency and security, both of which require efficient data collection, …

Vaping Insights Perceptions And Experiences On A College Campus, Willard G. Jackson

Masters Theses and Doctoral Dissertations

The purpose of this study was to determine if relationships existed between student vaping habits in proximity to a college campus and current tobacco related bans implemented by the institution. Determining these relationships provided insights that can be utilized to maximize effectiveness of campus tobacco policy. Research outcomes represented a framework for educating current and potential tobacco consumers on campus regarding harm reduction, tobacco cessation, and resources available to prevent a lifetime of nicotine addiction or other tobacco related harm to health. The study addressed research questions in a mixed-methods design. Quantitative research questions included: Does a relationship exist between …

An Evaluation Of The Effectiveness Of Living Learning Communities On Student Success, Retention, And Belonging, Jason D. Harville

Masters Theses and Doctoral Dissertations

This project of practice evaluated the impact of Living Learning Communities (LLCs) on student success, retention, and sense of belonging at a regional public university. The program evaluation includes quantitative data comparing GPA and retention rates of LLC and non-LLC students, a sense of belonging scale, and qualitative data gathered from interviews and surveys with LLC participants and program partners. Findings indicate that LLC participation positively correlates with increased student retention and a stronger sense of community, though academic performance differences were not statistically significant. Thematic analysis of qualitative interviews revealed that intentional faculty-student interaction, tailored academic support, and early …

A Question To Query Llm As A Pipeline Replacement In Knowledge Graph Question Answering Systems, Major Schwartz

Masters Theses and Doctoral Dissertations

Knowledge Graph Question Answering (KGQA) pipelines commonly depend on separate entity and relation predictors before querying the graph, which introduces engineering complexity and costly inference passes over large vocabularies. This thesis presents a drop-in replacement for those modules: a fine-tuned large language model (LLM) that translates a natural-language question directly into an executable SPARQL query. We fine-tune instruction-tuned backbones, Llama-3.1-8B-Instruct and Mistral-7B-Instruct, on paired (question, gold SPARQL) examples, which are formatted through chat templates. As a result, the models can perform single-step query generation. The training and inference pipeline includes a lightweight post-processor that corrects tokenizer-induced spacing artifacts in generated …

A Phylogenetic And Taxonomic Analysis Of Parocnus Serus, An Extinct Holocene Sloth From Haiti, Julia L. Jones

Masters Theses and Doctoral Dissertations

Parocnus serus belongs to a unique radiation of extinct ground sloths endemic to the Antillean islands that was discovered in 1929, but, prior to this thesis, it had not been described in detail or had its phylogenetic and taxonomic relationships with other Antillean sloths extensively analyzed. This detailed description of skull and mandible specimens supported the distinctiveness of the genus Parocnus, and the existing size-based separation of the Antillean megalonychids. A morphological phylogenetic analysis of a sample of Antillean sloths supported the close relationship between P. serus and P. torrei but did not provide conclusive results on the relationships among …

Gender Considerations When Examining The Association Between Military Sexual Trauma And Chronic Pain Conditions, Lily Sarfaraz

Dissertations

Military sexual trauma (MST) amongst veterans is a growing concern for the Veterans Health Administration (VHA). Veterans who screen positive for MST receive VHA care for any injuries caused as a result of MST, psychological or physical, free of charge. MST is difficult to track, can result in long-term disability, and the burden of illness varies across genders. Current data highlights discrepancies seen across the literature of actual detected MST cases, with rates varying vastly. Efforts to track prevalence of MST identify additional concerns over the various comorbidities seen in MST cases. When examining symptom sequalae of MST, there is …

Evaluating The Perceptions, Barriers, And Impact Of Positive Behavior Interventions And Supports (Pbis) In Grades K-12, Serena Sowin

Dissertations

Positive Behavior Interventions and Supports (PBIS) is designed to promote positive behaviors and prevent behavioral challenges. Despite widespread adoption, implementation fidelity, especially at Tier 2 and Tier 3 levels, remains inconsistent, impacting students who require the most intensive support. This study was conducted in one middle school. The purpose of the program evaluation was to investigate the perceptions of, and barriers to, PBIS implementation, with a specific focus on evaluating the impact on student behavioral and disciplinary outcomes, identifying the training and support provided to educators, and examining how data are used to drive decisions. Overarching research questions assessed educator …

Exploring Hiring Managers’ Strategies For Recruiting Diverse Educators In A Southeastern State, Keisa K. Davis Ma

Dissertations

This dissertation examined the strategies applied by hiring managers within one state in the southeastern United States to recruit diverse teachers. The purpose of the study was to explore hiring managers’ experiences and knowledge of minority teacher recruitment. The primary research question for this study was: What strategies do hiring managers in the school district under study find most effective in overcoming barriers to recruiting minority educators, and how do they measure their success? Data was collected through semi-structured interviews, and thematic coding was used to arrive at emerging themes, patterns, and perceptions. The findings revealed that while hiring managers …

Evaluating The Effectiveness Of A Fully Immersive Esol Elementary Program: A Mixed-Methods Study, Equitia D. Armour

Dissertations

With the enrollment of students who are English Language Learners (ELL) steadily rising across the United States, this research sought to understand how immersive models support both language acquisition and academic achievement. This study examined the effectiveness of a fully immersive English Speaker of Other Languages (ESOL) program in one elementary school. The purpose was to identify the qualities of successful ESOL programming, and the conditions needed for sustained growth. The primary research question for this study was: What are the qualities of a successful fully immersive ELL elementary program? Using a mixed-methods design, data were drawn from surveys, interviews, …

20251201: Black United Students Funeral Itineraries, 1970, Intercultural Affairs

Guides to University Archives

These items include materials donated by Craig T. Greenlee from the Black United Students organization and consists of funeral itineraries for the associated Marshall University football players killed in the plane crash.

Response To Intervention Implementation With Culturally Diverse Students, Alysia R. Chatman

Electronic Theses and Dissertations

This qualitative descriptive study examined how elementary educators implement response to intervention (RTI) and multitiered systems of support with culturally and linguistically diverse students. Drawing on self-determination theory and culturally relevant pedagogy, the researcher conducted semistructured interviews with five participants, three classroom teachers, one interventionist, and one campus administrator from three Title I elementary schools in a large suburban Texas district. Transcripts were analyzed through thematic coding. Four themes emerged: (1) training and preparedness for RTI implementation, (2) administrator support and follow-through, (3) understanding and application of culturally responsive teaching, and (4) RTI meeting structure and process. Participants reported a …

Administration Of A Novel Reprogramming Formula Improves Cardiac Function And Decreases Cardiac Fibrosis In A Myocardial Infarction Model, Megumi Mathison, Saliha S Pathan, Aliya Lackan, Jianchang Yang, Tamer M A Mohamed, Todd K Rosengart

Faculty, Staff and Students Publications

Background: The reprogramming of fibroblasts into (induced) cardiomyocytes offers a direct myocardial regeneration strategy for improving postinfarction myocardial function. Compared to lower-order species, human cells are relatively resistant to such reprogramming. We previously found that p63-transactivation inhibitory domain (TID; the portion of p63 that physical interacts and interferes with its activation of the epigenetic repressor HDAC1) combined with the cardio-differentiation factors Hand2 and Myocardin (HM) enhanced rat and human cell transdifferentiation. The present study sought to determine the in vivo effects of this reprogramming strategy in a rat myocardial infarction model.

Methods: Adult male and female rats underwent left anterior …

Dual-Stage Ultrasound Application For Rice Bran Protein Extraction: A Novel Method To Improve Yield, Functional Properties, And Nutritional Profile, Saydul Md Safwa, Nikitha Modupalli, Md Mahfuzur Rahman

Food Science Faculty Publications and Presentations

While ultrasound-assisted protein extraction is well-studied, the application of ultrasound in both the extraction and precipitation stages has not been explored. This study explored the ultrasound (U)-assisted alkaline extraction (AE) at pH 9.5 and ultrasound-assisted isoelectric precipitation (UIP) at pH 3.5 on the rice bran protein yield, functionality, and nutritional quality. The UAE and conventional precipitation (UAE-IP) yielded the highest protein yield of 65.7 %, while conventional extraction yielded 38.9 %. FTIR showed that UAE-IP increased beta-sheets by 96.8 % while AE-UIP decreased the alpha-helices by 42.4 %. Although UAE-IP showed no significant change in surface hydrophobicity, UAE-UIP decreased it …

Teacher Perceptions Of Culturally Relevant Pedagogy In High School Social Studies Classrooms: An Ethnographic Case Study, Sheronda L. Hardy

Dissertations

Historically, scholarly research regarding the education of Black, Indigenous, and People of Color (BIPOC) has been written through a deficit lens. Research that acknowledges positive learning experiences and outcomes is limited. This qualitative ethnographic case study aims to contribute to the growing body of social studies literature that offers insights into the need for asset-based pedagogies, such as Gloria Ladson-Billings' Culturally Relevant Pedagogy (CRP), as well as the impact that this framework has on BIPOC student populations. By exploring the perceptions of high school social studies teachers regarding CRP, teacher preparation programs, and professional development, this study of five teacher …