Digital Commons Network^™

Synthetic Dataset For Understanding Negation In Text-Guided Image Editing, Nhat-Tan Bui

Graduate Theses and Dissertations

Negation is a fundamental linguistic concept used by humans to convey information that they do not desire. Despite this, minimal research has focused on negation within text-guided image editing. This lack of research means that vision-language models (VLMs) for image editing may struggle to understand negation, implying that they struggle to provide accurate results. One barrier to achieving human-level intelligence is the lack of a standard collection by which research into negation can be evaluated. This thesis presents the first large-scale dataset, Negative Instruction (NeIn), for studying negation within instruction-based image editing. Our dataset comprises 366,957 quintuplets, i.e., source image, …

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 …

Teaching For Global Ecological Citizenship: A Case Study Of Rural Teachers’ Experiences And Practices, Sarah L. Tennyson

Dissertations

The purpose of this qualitative case study is to examine the experiences and practices of rural educators incorporating global ecological citizenship education into the social studies classroom. The systematic themes of social studies education in the past must evolve with the diversity of the classroom. Traditional themes taught must become more globally relevant, including ecological citizenship, the responsibility of citizens to sustain and participate in global ecological issues. One on one interviews with four rural Georgia educators along with artifacts they provided were examined for themes related to two research questions. How do rural educators adapt their instructional strategies to …

Raise Your Digital Hand – Multilingual Learner Student And Teacher Perceptions Of Live Digital Feedback, Naveed Khan

Dissertations

Teachers of Multilingual Learners (MLs) must support students with varying English proficiency as they work toward meaningful academic progress. One promising support is live digital feedback, which can be multimodal—written, typed, drawn, or audiovisual—and serves as an added scaffold as MLs work within their zone of proximal development (ZPD). This qualitative case study examined ML student and teacher perceptions of live teacher and peer digital feedback in one-to-one (1:1) classrooms, grounded in sociocultural theory, effective feedback, and multimodality. The research questions focused on the types of feedback provided by teachers and peers and how ML students—both recipients and peer helpers—and …

World On Fire: The Hunger Games And The Rhetoric Of Revolution, Rachel Olivares

Electronic Theses and Dissertations

In the decade between 2010 and 2020, more people participated in mass protests than at any other point in human history. From the Arab Spring to Occupy Wall Street and Hong Kong’s “umbrella movement,” street demonstrations exploded on a global scale. This period of global unrest coincided with another explosion: the dystopian young adult series The Hunger Games surged in popularity, quickly becoming a cultural phenomenon. Following the release of the book series and its subsequent film adaptations, The Hunger Games became a global symbol of grassroots resistance as social and political movements adopted the language and symbols of its …

The Ai Contributor: A New Thought Partner In Systems Change, Jewlya Lynn, Rachel Reichenbach

The Foundation Review

Many foundations are making long-term commitments to advancing systemic change, continually adapting and refining their approaches along the way. An emerging and often underutilized tool in their systems change toolkit is generative artificial intelligence (AI).

AI is enhancing practices across philanthropy, often focused on increasing efficiencies and scaling or streamlining human tasks. What if we instead focus on what AI can do that is distinctly different from what a human can offer? In the world of systemic change, we continue to struggle with the complexity and intractability of systems and finding moments when systems can be shifted. AI can be …

Enhancing Teacher Planning Practices To Improve Teacher Self-Efficacy Through Professional Learning Communities, Philip L. Price

All Dissertations

This improvement science dissertation investigated the impact of implementing Professional Learning Communities (PLC) on teacher self-efficacy at Parkway Elementary, a Title I school serving a diverse student population with historically lower academic performance. The study addressed the problem of low teacher self-efficacy, a critical factor influencing Tier 1 instructional quality and student outcomes. Utilizing the Plan-Do-Study-Act cycle, this research tested the theory that adopting a four-question framework within weekly collaborative grade-level meetings would measurably increase teacher self-efficacy. Seven teachers participated in the research, with data collected through the Teacher Sense of Efficacy Scale, semi-structured interviews, and PLC observations. Quantitative findings …

Armando’S Case: Diagnostic Emergent Literacy Assessment For Children With Complex Communication Needs, Bronwyn A. Harris, Tonya R. Moore, Ashley E. Pennell

Journal of Case Learning & Exceptional Learners

This practice-based case study is designed to offer a tutorial on how to adapt an informal, diagnostic emergent literacy assessment to meet the needs of students like six-year-old Armando, a Latino, multilingual learner with autism spectrum disorder (ASD) and complex communication needs (CCN) in an inclusive kindergarten classroom. Armando’s informal literacy assessment adaptations and outcomes are discussed, including descriptions of his emergent literacy skills observed through his engagement in literacy stations, small group reading instruction in his classroom, and his use of alternative and augmentative communication (AAC) in both instructional and assessment settings. This case study illustrates how traditional literacy …

Breaking Barriers For Student Success: Leading In Challenging Times, Lisa Marie Dewey

Dissertations

This study explores how Diversity, Equity, and Inclusion (DEI) directors in one Midwestern state understand and lead equity initiatives in K–12 public education. The purpose of the study was to examine how DEI leaders make sense of their roles and the challenges of sustaining equity work within complex and often politicized systems. Using a basic qualitative methodology, the research examined how personal identity, sociopolitical context, and organizational structures shape DEI leadership. Critical Race Theory (CRT) framed the study, centering race, power, and systemic inequity in participants’ experiences.

Seven DEI directors participated in semi-structured interviews. Three key themes emerged. First, participants’ …

National Priorty Industry Linkage Fund (Npilf) Roundtable Report To Government, Faith Valencia-Forrester, Caroline Rueckert, Nicola Fish, Elizabeth J. Cook

Other Reports

The National Priorities and Industry Linkage Fund (NPILF), introduced in 2021 and piloted from 2022 to 2024 with an extension year in 2025, significantly expanded and diversified Work-Integrated Learning (WIL) across Australian higher education. The fund aimed to increase WIL opportunities for students, grow the pipeline of STEM-skilled graduates and improve their employment outcomes, and support universities to develop and strengthen partnerships with industry. To reflect on NPILF’s impact and identify priorities for sustaining WIL quality, equity and industry engagement in the years ahead, WIL Australia convened a national roundtable in October 2025. The event brought together 126 participants from …

Colaboración, Discurso Y Técnicas: La Resistencia Simbólica En El Sueño De La Sultana (Isabel Herguera, 2023), Nerea Cuenca-Orellana

GDI. Revista de investigación de Género, Diseño e Innovación

La película El sueño de la sultana (Isabel Herguera, 2023) reinterpreta el cuento utópico homónimo de Rokeya Sakhawat Hossain (1905) realizando una exploración visual que combina animación, archivo y testimonio. El presente trabajo propone un análisis de la obra desde cuatro puntos clave e interrelacionados: la autoría colaborativa y femenina, los discursos visuales, los lenguajes y técnicas, y las formas de resistencia simbólica con el objetivo principal de establecerla como un caso práctico de diseño feminista contemporáneo.

En primer lugar, se examina el proceso de creación de la película como práctica colaborativa transnacional, donde la animación se convierte en un …

Improving Intimate Partner Violence Screening In Telehealth Mental Health Settings, Marina Oliynyk

Electronic Theses and Dissertations 2020 - Present

Intimate partner violence (IPV) is a pervasive yet frequently underrecognized public health concern, particularly within telehealth psychiatric care, where nonverbal cues may be absent. This quality improvement (QI) project aimed to improve the identification and response to IPV by implementing a standardized, evidence-based screening protocol in a private telepsychiatry practice. Guided by the Plan-Do-Study-Act (PDSA) framework, the validated E-HITS screening tool was introduced, along with structured trauma-informed care training, to six psychiatric-mental health nurse practitioners (PMHNPs). Six PMHNPs completed pre/post-confidence surveys (5-point Likert) and tracked screening activity across 100 telehealth encounters (98 of 100 visit were eligible). Over a three-month …

A National Survey Of Osteopaths’ Conceptions Of Practice In France: Structural Validity Of The Osteo-Taqfr And The Tendency Toward Technical Rationality, Oliver P. Thomson, Loïc Treffel, Agathe Wagner, Erwann Jacquot, Jerry Draper-Rodi, Chantal Morin, Brett Vaughan

Research outputs 2022 to 2026

Background: Despite the growing popularity of osteopathy in France, little is known about how French osteopaths conceptualise key aspects of their practice, including skills, knowledge, and decision-making. This study aimed to adapt and validate the Osteopaths' Therapeutic Approaches Questionnaire (Osteo-TAQ) for use in a French osteopathic population (Osteo-TAQfr) and to examine the professional profile and core elements of clinical practice among French osteopaths. The first objective was to establish the psychometric properties of the Osteo-TAQfr within a French osteopathic population. The second aim was to explore French osteopaths’ conceptions of practice and their approach to patient care, thereby contributing to …

A Study On Practical Examples Of Servant-Leadership In Rural Areas Of The Province Of Herat, Afghanistan, Nasir Ahmad Rahimi, Esmatullah Jafari, Hajar Moradi, Barbara Schellhammer, Isabella Rega

International Journal of Servant-Leadership

This study investigates practical examples of servant-leadership in the rural areas of Herat province, Afghanistan. A literature review revealed a significant gap in research focusing on practical instances of servant-leadership in these regions. We employed a qualitative approach, utilizing in-depth interviews, focus group discussions, and circle reflections to collect data. Initially guided by Spears’ ten principles of servant-leadership, our data analysis led to a redefinition of both the term and its underlying principles, while remaining true to the original concept. The study identified two types of servant-leaders: traditional leaders, who inherit their roles through family status, and emerging leaders, who …

Investigating The Feasibility Of Practicing Servant-Leadership In Hong Kong School Environment: An Exploratory Study, Keyi Zhang, Wing Shan Chan, Benedict S. K. Shum, Daniel H. K. Chow

International Journal of Servant-Leadership

Servant-leadership is an emerging area of study in leadership research that emphasises a people-oriented leader-follower relationship and a humanistic approach to leadership behaviour. Due to the limited research on servant-leadership, this study adopts an exploratory approach to examine the applicability of Cheung’s servant-leadership model in Hong Kong schools. Our research investigates both the practical implementation of this model and the challenges encountered in translating theory into practice. We conducted semi-structured interviews with twelve experienced school leaders who had participated in a long-running servant-leadership training programme. The interview transcripts were analysed to assess the twelve servant-leadership qualities outlined in the model. …

Exploring The Role Of Christian Religiosity In The Acceptance Or Rejection Of Ai Chatbot Use Among Faculty At Church Of Christ Universities, Amos Gutierrez

Electronic Theses and Dissertations

Higher education institutions are navigating the benefits and challenges of generative AI chatbot use and preparing faculty and students to engage with these tools ethically and responsibly. The problem is that there are many challenges and barriers to using these technologies in higher education, and Christian higher education institutions must also address context-specific considerations regarding mission and vision rooted in biblical faith and practice. The purpose of this quantitative, nonexperimental, cross-sectional study using confirmatory factor analysis and multiple regression through structural equation modeling was to examine faculty perceptions of AI chatbots and how Christian religiosity moderates acceptance. An online survey …

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 …

Leading With Strength: The Relationship Between Character Strength Awareness And Teacher Self-Efficacy, Ashton Lynn Knox

Electronic Theses and Dissertations

Traditional educational leadership practices have historically emphasized weakness-based approaches to leadership regarding teacher interventions. Emerging research grounded in positive psychology suggests that strength-based interventions may offer a more effective pathway for supporting educators. The purpose of this action research study was to examine the influence of character strength awareness on teacher self-efficacy. Guided by a strength-based leadership framework, the researcher investigated whether intentional character strength interventions could positively impact teachers’ perceptions of their instructional effectiveness. The study employed an action research design with 14 K–12 teachers from a rural public school district in Texas. Participants completed the Values in Action …

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 …

Cssa-Fusion: Channel Selective And Spatial Alignment Infrared-Visible Image Fusion, Zhen Li, Zhi Zeng, Zhongrui Xiao, Ming Wen, Zhiyuan Zhang, Yibin Tian

Research Collection School Of Computing and Information Systems

Infrared-visible image fusion aims to integrate complementary information from two modalities to generate images with enriched semantic content. However, existing methods often neglect two critical aspects: the design of a local–global feature enhancement architecture and spatial alignment. To address these challenges, we propose Channel Selective and Spatial Alignment Fusion (CSSA-Fusion), a novel framework composed of two synergistic modules. The first is a selective channel and redundancy suppression module, which introduces a dual-branch selective channel attention mechanism to jointly capture local saliency and global channel importance for enhanced feature representation, and an informativeness–redundancy separation strategy to suppress redundant information while preserving …

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 …

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 …

Detecting Fraud In Police Reports Using Machine Learning And Natural Language Processing, Maryam Almarar

Theses

The paper explores how statistical analysis and machine learning can be used to identify the fraud patterns in the police reports. The study aims at establishing the most important predictive factors and indicators distinguishing fraudulent and valid cases with the use of structured data of police databases. The work was done in the background of the increase in financial fraud instances and the rising necessity of the introduction of automated detection systems in police departments. Police reports of the pastwere mined down to data and analyzed on SPSS 1, to carry out statistical operations. The sample was structured data which …

Segment-Level Machine Learning For Detecting Partial Deepfake Audio: An Rnn–Svm Hybrid Approach For Real-World Adversarial Environments, Ahmad Alhelli

Theses

This study investigates the detection of real, fully fake, and partially fake (PF) audio using classical machine-learning models as well as a segment-level analysis model. Unlike most existing research, which focuses solely on binary real-vs-fake classification, this work introduces a three-class detection framework and constructs realistic PF samples by inserting short synthetic speech segments into otherwise genuine audio recordings. Its method combines MFCC and spectral feature engineering,Wav2Vec2 embeddings, controlled PF synthesis and various models such as SVM, Random Forest, XGBoost and an attention based RNN. Segment level windowing allows fine-grained study of transition of time and breaks of manipulation. The …

Is Political Information Over Facebook Credible? A Look At The 2020 Presidential Election, Kristina Harrison, Shawn Thelen, Boonghee Yoo, John B. Ford

Journal of Applied Marketing Theory

Much controversy still exists surrounding the events before, during, and after the 2020 U.S. presidential election. Some of this is attributable to voters’ uncertainty, driven by conflicting messages transmitted over social media, about the credibility of information surrounding the candidates and election results. Examining data collected shortly before the 2020 election, this study investigates how consumers perceive political information presented on Facebook. Drawing from Source Credibility Theory and the Elaboration Likelihood Model (ELM), the research tests a model that includes medium dependency, medium interactivity, information quality, information presentation, personal expertise, and power perception. Data from 407 participants were analyzed using …

Contx: Scene Context Prediction Via Context Bank And Layout Perception, Jingxin Liang, Yangyang Xu, Haorui Song, Yuan Lu, Yuhui Deng, Yiyi Long, Yan Huang, Shengxin Liu, Jianbo Jiao, Shengfeng He

Research Collection School Of Computing and Information Systems

Scene context prediction, which seeks to infer unknown contextual information from isolated object properties, currently faces limitations due to predominant reliance on pixel-wise supervision that overlooks real-world context priors. To address this, we present ContX, a context-prior-driven, coarse-to-fine model. ContX distinctively integrates explicit linguistic-contextual knowledge in two key ways. First, it proposes a linguistic guided context bank, leveraging linguistic-statistical contextual data to guide the rationality of segmentation shapes and foster meaningful inter-class contextual interactions. Second, ContX augments contextual comprehension by correlating layouts with linguistic descriptions, enhancing layout perception through a multi-modal strategy. Comprehensive experiments demonstrate ContX's superiority and versatility, outperforming …

Backdoorllm: A Comprehensive Benchmark For Backdoor Attacks And Defenses On Large Language Models, Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun

Research Collection School Of Computing and Information Systems

Generative large language models (LLMs) have achieved state-of-the-art results on a wide range of tasks, yet they remain susceptible to backdoor attacks: carefully crafted triggers in the input can manipulate the model to produce adversaryspecified outputs. While prior research has predominantly focused on backdoor risks in vision and classification settings, the vulnerability of LLMs in open-ended text generation remains underexplored. To fill this gap, we introduce BackdoorLLM1 , the first comprehensive benchmark for systematically evaluating backdoor threats in text-generation LLMs. BackdoorLLM provides: (i) a unified repository of benchmarks with a standardized training and evaluation pipeline; (ii) a diverse suite of …

Large Language Models As End-To-End Combinatorial Optimization Solvers, Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang

Research Collection School Of Computing and Information Systems

Combinatorial optimization (CO) problems, central to decision-making scenarios like logistics and manufacturing, are traditionally solved using problem-specific algorithms requiring significant domain expertise. While large language models (LLMs) have shown promise in automating CO problem solving, existing approaches rely on intermediate steps such as code generation or solver invocation, limiting their generality and accessibility. This paper introduces a novel framework that empowers LLMs to serve as end-to-end CO solvers by directly mapping natural language problem descriptions to solutions. We propose a two-stage training strategy: supervised fine-tuning (SFT) imparts LLMs with solution generation patterns from domain-specific solvers, while a feasibility-and-optimality-aware reinforcement learning …

When Nonbinary Becomes Binary: Exploring Transnormativity Experiences Of Gender Diverse Individuals, Yusuf Barburoğlu

Counseling & Human Services Theses & Dissertations

Transnormativity is a within-group framework that positions trans and nonbinary (TNB) individuals in a hierarchy of legitimacy based on adherence to binary gender norms (Johnson, 2016). Nonbinary individuals, who comprise 38% of U.S. transgender adults, face unique challenges, including systemic invalidation, misgendering, and erasure both within and outside LGBTQIA+ communities (James et al., 2024; Matsuno et al., 2024). These experiences intersect with internalized stigma and rejection expectations, contributing to mental health disparities (Budge et al., 2014; Lefevor et al., 2019). This study explores how nonbinary individuals navigate, resist, and embody transnormative pressures, using Sarah Ahmed’s Queer Phenomenology and Interpretative Phenomenological …

Schema, Stigma, And The “We-Them” Divide: Perspectives On Ageism From Everyday Life To Healthcare, Temple D. West

English Theses & Dissertations

Ageism remains a pervasive and often underexamined form of discrimination, affecting older adults across both everyday and clinical contexts. This paper explores how cognitive schemas—mental frameworks that shape perception and experience—and stigma interact to reinforce a “we–them” divide between and older patients and healthcare providers, as well as between older and younger individuals in broader society. Through focus groups and listening to the voices of older patients, this study examines how assumptions of age-based decline are embedded in society and inform schemas of ageism. It considers how those schemas shape the spoiled identity of older people as a stigmatized group, …