Digital Commons Network^™

The Lived Experience Of Special Education Director Retention: A Phenomenological Study Of Motivational And Organizational Influences, Matthew R. Taylor

Electronic Theses and Dissertations

The stability of leadership in special education is crucial for ensuring regulatory compliance, programmatic quality, and equitable services for students with disabilities. However, U.S. public schools face persistent challenges in retaining special education directors, resulting in a loss of institutional knowledge, service fragmentation, and increased risk of compliance failure. Drawing on self-determination theory and job embeddedness theory, this phenomenological study explored the intrinsic and extrinsic aspects that influence special education directors’ decisions to remain in their roles. Ten experienced special education directors from diverse public school settings in Texas participated in semistructured interviews and follow-up quantitative questionnaires. The analysis revealed …

The Impact Of Synchronous And Asynchronous Preference On The Performance Of Distance Learning Students, Christopher A. Wilson

Electronic Theses and Dissertations

Distance learning is a growing part of education. The transition to distance learning was underway at higher education institutions, but the COVID-19 pandemic forced institutions of all types to rapidly transition to distance learning. The technology that was adapted during this emergency distance learning remained in the classroom once normal instruction resumed. This quantitative study examined two aspects of distance learning technology in education. The study examined student preference for either synchronous or asynchronous instruction through the framework of expectancy theory. Students who were more familiar with the course material were hypothesized to have a higher expectation of success and …

Assistant Principals’ Perspectives And Experiences Concerning Their Influence As Instructional Leaders On Student Achievement In Title I Schools, Courtney J. Charles

Electronic Theses and Dissertations

Abstract

This qualitative descriptive study explored the perspectives and experiences of assistant principals in Title I schools in the context of their instructional leadership responsibilities. The study examined the relationship between assistant principals as instructional leaders in Title I schools and student achievement by addressing research questions related to curriculum implementation, data-driven decisions, school culture, instructional support, and professional development. Moreover, this study used purposeful sampling to select 13 assistant principals from Title I schools, and data were collected through semistructured interviews and analyzed using thematic analysis. Marzano’s focused school leader evaluation model served as the framework for interview questions. …

Preoperative Patient Sentiment Is Associated With Postoperative Outcomes In Adult Spinal Deformity Surgery, Ross J. Gore, David Mazur-Hart, Mohan K. Sunkara, Aaqib Ali, Qizar Ali, Christopher J. Lynch, Christopher Ames

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Study Design: Prospective observational pilot study of adult spinal deformity surgery patients.

Objective: To determine whether preoperative patient sentiment, quantified using a 21-class valence scale extending the CARP paradigm implemented through an offline Large Language Model, predicts postoperative outcomes.

Summary of Background Data: Predicting adult spinal deformity surgery outcomes remains challenging with traditional clinical and radiographic parameters alone. Although patient psychological factors and expectations significantly influence postoperative satisfaction and quality of life, systematic approaches to capture these factors are underdeveloped. Offline Large Language Models offer scalable, privacy-preserving psychological risk stratification.

Materials and Methods: We prospectively enrolled 18 patients undergoing adult …

Steady As She Goes: Remote Work Benefits Daily Goal Progress Through Reduced Energy Variability, Andrew A. Bennett, Kathleen R. Keeler, Emily D. Campion, Sheila K. Keener

Management Faculty Publications

As the prevalence and allowance of remote and hybrid work evolves, research has shown consistently mixed findings about how work location is related to worker energy and perceptions of daily performance. We aim to resolve this ambiguity by integrating affective events theory with ideas about emotion dynamics to develop new theorizing explaining why energy variability, rather than mean energy level, is an important predictor of daily goal progress. We test our hypotheses using a sample of 219 employees from one organization allowing remote and hybrid work, capturing individual hourly energy levels for five consecutive workdays (4,812 hourly observations). Our …

The Emerging Social Media Water Cooler? Motivations For Reddit Use In A Niche League, Jan Boehmer, Brendan O'Hallarn

Communication & Theatre Arts Faculty Publications

Social media play a key role in sport marketing—with athletes, teams, and leagues directly engaging with their audiences. While Facebook, Instagram, and Twitter have received much attention in the sport marketing and communication literature, research on Reddit is scant. This is particularly noteworthy, as the platform is growing rapidly and promises utility for users with nonmainstream interests to find and engage with each other. This study employs a uses and gratifications approach to investigate how prevalent Reddit use is among fans of the United Football League (UFL), what motivates users to engage with the platform, and whether Reddit use leads …

Stages Of Being Foreign As Portrayed In Daughter Of Keltoum And Lost Birds, Fran Hassencahl

Communication & Theatre Arts Faculty Publications

In this paper, I use the intercultural communication model, The Stages of Being Foreign, developed by anthropologist Oberg (1960) and modified by Gullahorn & Gullahorn (1963), Lewis & Jungman (1986), and Ward, Bochner, and Furnham (2001) to explain the experience of culture shock. This model describes the stages that individuals experience when they leave, either voluntarily or involuntarily, their home country/culture and must adapt to a new culture. These stages as described by Oberg are a preliminary stage (a spectator stage), an increasing participation stage, the pit of the culture shock stage, the adaptation stage, and for some migrants a …

Adaptive Boundary-Aware Fact-Checker Placement For Misinformation Suppression In Social Networks, Mostafa Taghizade Firouzjaee, Ghazal Naderi, Ross Gore, Neda Moghim

School of Cybersecurity Faculty Publications

The spread of fake news on online social networks is driven by imitation-based user behavior and network topology, often leading to persistent misinformation clusters and echo chambers. In this study, we develop a spatial evolutionary game-theoretic framework in which agents update their latent opinions through payoff-biased imitation, while external fact-checkers act as non-imitative intervention nodes. Building on this formulation, we propose an adaptive, boundary-aware intervention mechanism that dynamically regulates both the density and spatial allocation of fact-checkers according to real-time system conditions. Competing information clusters are identified through local neighborhood composition, enabling boundary nodes, i.e., interfaces between fake-news and non-fake-news …

Preoperative Patient Sentiment Is Associated With Postoperative Outcomes In Adult Spinal Deformity Surgery, Ross J. Gore, David Mazur-Hart, Mohan K. Sunkara, Aaqib Ali, Qizar Ali, Christopher J. Lynch

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Study Design:

Prospective observational pilot study of adult spinal deformity surgery patients.

Objective:

To determine whether preoperative patient sentiment, quantified using a 21-class valence scale extending the CARP paradigm implemented through an offline Large Language Model, predicts postoperative outcomes.

Summary of Background Data:

Predicting adult spinal deformity surgery outcomes remains challenging with traditional clinical and radiographic parameters alone. Although patient psychological factors and expectations significantly influence postoperative satisfaction and quality of life, systematic approaches to capture these factors are underdeveloped. Offline Large Language Models offer scalable, privacy-preserving psychological risk stratification.

Materials and Methods:

We prospectively enrolled 18 patients undergoing adult …

Cybersecurity Center For Offshore Wind Energy (Final Project Round), Sachin Shetty

Center for Secure and Intelligent Critical Systems (CSICS) Publications

This project establishes a Cybersecurity Center for Offshore Wind Energy with the objective of designing and operating a cyber-physical testbed for wind energy farms (WEFs) that enables comprehensive cybersecurity research. The testbed incorporates a Supervisory Control and Data Acquisition (SCADA) system connected to turbine models via industrial-grade programmable logic controllers (PLCs) and remote terminal units (RTUs). It supports side-channel data acquisition, implementation and analysis of various cyberattack scenarios, and development of attack detection, mitigation, and best-practice guidance tailored to wind energy systems. During the project, the team expanded the number and fidelity of mathematical turbine models (MTMs), integrated these models …

2024 Annual Operations And Maintenance Report - 2024 Bres Annual Summary Report For Work Completed In Quadrant 4, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Phenomenological Analysis Of Sense Of Belonging Among Community College Educators, Muhammad Owais Aziz

EVMS School of Health Professions Theses & Dissertations

This phenomenological study explored the complex phenomenon of sense of belonging (SB) among diverse health professions educators (HPEs) and non-health professions educators (non-HPEs) at a Canadian community college. SB, as a dynamic construct shaped by an individual's perception of being valued and respected, is influenced by personal preferences and by complex interactions with the individual's surroundings. To better understand SB and foster a more inclusive environment for diverse educators, it is necessary to investigate SB among these educators. This qualitative study used eleven semi-structured interviews and seven steps of data analysis. The results of this study can inform strategies, policies, …

Navigating Technology In The Secondary Ela Classroom: Written By Teachers For Teachers, David M. Grant, Alexandra Parham, Ashley Webb, Kimberly Cavalier, Erin Neebel, Amber Schouten

Faculty Book Gallery

This collection is a digital project of dedicated teacher-scholars who met in the summer of 2025 as part of the University of Northern Iowa’s graduate program in Teaching English in the Secondary Schools (TESS). Using the theoretical lens of multiliteracies, developed by the New London Group in the 1990s, students examined the impacts of several electronic and digital technologies on their students and their teaching, especially Artificial Intelligence, or A.I. Through fiction, nonfiction, and discussion, students considered the changes, the challenges, and the opportunities these technologies held. Most importantly, they investigated what these developments meant for their teaching, their districts, …

Programs And Courses Catalog 2026-2027, University Of Northern Iowa

UNI Programs and Courses Catalogs

Contents:

Academic Calendar --- 3
Academic Regulations --- 5
Registration --- 21
Fees and Financial Aid --- 23
Student Life and Academic Support --- 31
The University --- 38
Undergraduate Admission Requirements --- 43
Undergraduate Degree Overview --- 47
Teacher Education --- 60
Undergraduate Majors, Minors, and Certificates --- 65
Graduate Admission Requirements --- 395
Graduate Degree Overview --- 399
Graduate Majors and Certificates --- 414
Course Descriptions --- 486
Index --- 650

2024 Annual Operations And Maintenance Report 2024 Bres Annual Summary Report For Work Completed In Quadrant 4, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Design And Analysis Of Modern Quantum Neural Network Architectures For Intelligent Systems, Lakshmi Chandrakanth Kasireddy, Prabhakara Rao Kapula, Dineshkumar Rajendran, Neha Bharani, Srikanth Pulipeti, Islombek Khushvaktov

Computer Science Faculty Publications

Quantum neural networks (QNNs) offer a principled pathway for integrating quantum computation with machine learning through superposition- and entanglement-based representations. This chapter proposes an architecture-aware design and evaluation framework for modern QNNs, emphasizing robustness and system feasibility alongside predictive performance. Multiple architectures variational QNNs, quantum convolutional neural networks, tensor-network hybrids, and fully quantum models—are assessed under a unified protocol. Experimental analysis shows that the proposed architecture-search–guided QNN achieves 91.8% classification accuracy and an F1-score of 0.914, outperforming fixed-template variational QNNs by approximately 5.6 percentage points. Under depolarizing noise with probability p = 0.10, the proposed model retains 85.3% accuracy, whereas …

Integration Of Hybrid Quantum-Neuromorphic Ai With Cloud, Edge, And High-Performance Computing Environments, Arun B. Prasad, Ajay Prasad, Dineshkumar Rajendran, Anurag Tiwari, T. Akilan, Islombek Khushvaktov

Computer Science Faculty Publications

The convergence of quantum computing, neuromorphic learning, and distributed cloud infrastructures has occurred very rapidly, and intelligent systems are now providing new opportunities, but the challenge of instability, complexity of orchestration, and noise sensitivity remains in the way of practical integration. The proposed work is based on a hybrid quantum and neuromorphic architecture, which is the integration of event-based neuromorphic adaptation and quantum-assisted global optimization, orchestrated by cloud-HPC. The architecture presents the thermodynamically regularized learning and resourceful task scheduling to the probabilistic search and the continuous local adaptation. Experimental evaluation across financial modeling, medical imaging, and physical system prediction shows …

Contextual Scaffolding And Self-Efficacy: Supporting Computer Skill Development Among Blind Learners In India, Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Inclusive computer literacy education efforts, broadening the participation of blind or visually impaired (BVI) individuals, have gained traction in recent years. Existing literature investigating these efforts primarily draws evidence from affluent Global North contexts, where accessibility resources and legal frameworks are relatively more mature. Little is known about the in-situ teaching and learning challenges faced by trainers and BVI students, respectively, in resource-constrained, multicultural Global South countries like India. To address this knowledge gap, we conducted a four-month contextual inquiry at two computer training centers catering to 94 BVI students in India. We notably observed a rigid, experience-driven training environment …

Voxvista: Enhancing Screen Reading Experience For Online User Comments, Yash Prakash, Akshay Kolgar Nayak, Mohammed Shoaib Alyaan, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Online discussions have become integral to how people exchange ideas, form opinions, and participate in collective deliberation. While sighted users can comfortably engage with online discussions, blind users who are dependent on screen readers are forced to listen to long threads narrated in a single, monotonic voice that lacks prosodic variation, rhythm, or emotion. This robotic auditory experience not only deteriorates the user engagement with the content but also increases cognitive strain, by making it difficult to remain attentive and discern meaning beyond literal words. In an interview study, most blind participants reported that monotonous narration hindered their ability to …

Modeling Joint Visual Attention In Naturalistic Dyadic Interactions, Kuushini Thennakoon, Yasasi Abeysinghe, Bhanuka Mahanama, Vikas Ashok, Sampath Jayarathna

Computer Science Faculty Publications

Joint visual attention (JVA) provides important insight into how individuals coordinate attention during social interaction. Egocentric eye tracking enables the study of JVA in natural, multi-user settings. This work presents a multi-stage framework to identify and analyze JVA using egocentric video and gaze data. The approach consists of three steps: spatiotemporal tube-based visual similarity, gaze-guided object detection, and attention pattern analysis using the ambient–focal coefficient K. Results show that object-focused collaborative activities exhibit high JVA, with object detection capturing higher joint attention than visual similarity, whereas conversation-based or independent activities show lower and more fragmented joint attention. Analysis of K …

Exploring Marshall–Olkin Models Through Bibliometric And Topic Modeling Approaches Uses Latent Dirichlet Allocation (1981-2025): A Study Based On Scopus Data, Humberto Llinás, Brian Llinás, Carlos López, Daniela Nuñez

Computer Science Faculty Publications

The Marshall–Olkin family of distributions has gained increasing attention in fields such as reliability engineering, survival analysis, financial risk modeling, and actuarial science because of its flexibility in modeling dependence among events and its wide range of extensions. Despite its growing relevance, a systematic understanding of how research on Marshall–Olkin models has evolved over time is still limited. This study addresses this gap by combining bibliometric techniques with topic modeling to analyze the structure and evolution of the scientific literature on Marshall–Olkin models. The analysis includes all 266 peer-reviewed publications on Marshall–Olkin models indexed in Scopus between 1981 and 2025. …

Exploring Large Language Models For Trustworthy Use: Insights From Research And Development, Sandeep Kalari, Sahithi Padidela, Vikas Ashok, Ravi Mukkamala

Computer Science Faculty Publications

Large Language Models (LLMs) are increasingly being adopted in a wide variety of domains, including sensitive domains such as healthcare and finance. However, persistent challenges such as unreliable data sources, privacy breaches, and hallucinated output continue to hinder their usage. We have experimented with several strategies to address these challenges. First, we developed BlockQwen, a blockchain-augmented framework that integrates decentralized trust validation, role-specific access control, and verifiable audit trails into the Qwen 2.5 LLM workflow. Second, we developed PrivAware, a multilayered privacy-enforcement framework, using a fine-tuned Flan-T5 model with self-attention masking, to safeguard data while maintaining high utility. Both systems …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …

Susceptibility To High-Fidelity Misinformation: An Eye-Tracking Analysis, Yasasi Abeysinghe, Gavindya Jayawardena, Enkelejda Kasneci, Sampath Jayarathna

Computer Science Faculty Publications

With the rise of online misinformation and AI-generated text, understanding human perception of news truthfulness is critical. In this study, we examine visual attention and cognitive processing using eye-tracking measures as individuals read fake and real news articles sharing nearly identical structure and imagery, differing only in subtle textual changes. Using the public FakeNewsPerception dataset, we analyze advanced gaze measures, including scanpaths, AOI transitions, and luminance-corrected pupil measures, beyond basic gaze features, in relation to news truthfulness and perceived believability. Results show that, given the high fidelity of the fake news, readers exhibited comparable visual scanning patterns, attention allocation across …

Memebuddy: Dialog-Style Audio Representations For Engaging Non-Visual Meme Experiences, Chirag Bhansali, Vikas Ashok, Hae-Na Lee

Computer Science Faculty Publications

Image memes are a pervasive form of online communication, widely used to convey humor, opinions, and cultural references. Prior work has explored making memes accessible to blind users, primarily through auto-generated descriptive captions. While these approaches improve comprehensibility and sometimes incorporate prosodic or emotional cues, they often fail to capture the humor, narrative structure, and contextual nuances that make memes engaging. We present MemeBuddy, a system that models memes as dialog, generating structured, multi-turn audio representations using role-based speakers. MemeBuddy reinterprets a meme as a conversation between two speakers, integrating extracted meme text with contextual knowledge implicitly inferred by a …

Attf-Gnn: An Attention-Based Multi-Omics Graph Neural Network With Modality Learning For Disease Subtyping, Sovon Chakraborty, Eleni Adam, Terry Stilwell, Harold Riethman, Desh Ranjan, Pratip Rana

Computer Science Faculty Publications

We propose AttF-GNN, an attention-based graph fusion strategy for diseases classification and subtyping. In multiomics analysis, not all types of molecular data are equally relevant for disease subtyping and considering all modalities equally may obscure discriminative signals and limit the effectiveness of predictive models by overlooking modality-specific contributions. Therefore, we design an attention-based multimodal GraphSAGE framework that can automatically emphasize the modalities providing the most relevant information for classification. At first, we have constructed three graphs using mRNA, RNA-seq and DNA methylation modalities, and train each omics with individual GraphSAGE encoders. Next, a unified intersection graph is formed using an …

Distributed Semi-Speculative Parallel Anisotropic Mesh Adaptation, Kevin Garner, Polykarpos Thomadakis, Nikos Chrisochoides

Computer Science Faculty Publications

This paper presents a distributed memory method for anisotropic mesh adaptation that is designed to avoid the use of collective communication and global synchronization techniques. In the presented method, meshing functionality is separated from performance aspects by utilizing a separate entity for each - a multicore cc-NUMA-based (shared memory) mesh generation software and a parallel runtime system that is designed to help applications leverage the concurrency offered by emerging high-performance computing (HPC) architectures. First, an initial mesh is decomposed and its interface elements (subdomain boundaries) are adapted on a single multicore node (shared memory). Subdomains are then distributed among the …

Tensions And Possibilities: A Study Of International Graduate Students' Encounters With Critical Pedagogy In The United States, Munchuree Kaosayapandhu

Theses and Dissertations

This study investigates the question, “How do international graduate students experience and negotiate their encounters with critical pedagogy across time and educational contexts?” The research was motivated by the researcher’s own experience in encountering critical pedagogy and prior studies focusing on critical pedagogy from the teacher perspective. This left a gap in understanding the student experience. The research used the phenomenology paradigm. The participants included six international graduate students in education studies programs. Using the phenomenological interview approach, each participant was asked over a series of three interviews about past experiences of education, their initial encounters with critical pedagogy and …

Does The Powder River Pass Shear Zone Exist? Geologic Map And Geochronology Of The Bighorn Mountains Caribou Creek 7.5-Minute Quadrangle, Lula G. Staley

Theses and Dissertations

This study produced a 1:24000-scale geologic map of the Caribou Creek 7.5-minute quadrangle in the Bighorn Mountains, Wyoming, by integrating field observation and U-Pb zircon age data. The results of this study will contribute to the USGS EDMAP program by subdividing the southern gneiss terrain. The quadrangle occurs almost entirely in the Bighorn National Forest and is in the drainage of Clear and Crazy Woman creeks. Elevations range from 6,800-9,400 ft. The quadrangle is dominated by Archean crystalline rocks of the Wyoming Province Beartooth-Bighorn Magmatic terrane, mainly granodiorite and tonalite gneiss with lesser migmatite. Several orientations and ages of mafic …

Cultivating Culturally Responsive Special Educators: A Qualitative Study Of Self-Efficacy Journeys Across Preservice Preparation And Inservice Professional Development, Ashley R. Norton

Theses and Dissertations

In an increasingly diverse society, educators must be prepared to effectively instruct students from a wide range of cultural, linguistic, and ability backgrounds. Teacher self-efficacy in culturally responsive practices (CRP) is critical to achieving equitable educational outcomes, particularly in special education, where students often experience multiple forms of marginalization. Despite the importance of culturally responsive teaching, limited research has examined how special educators develop culturally responsive teaching self-efficacy (CRTSE) over the course of their professional careers, particularly in urban school districts serving culturally and linguistically diverse (CLD) populations.

This qualitative study explored the self-efficacy journeys of special educators and their …