A Contextual And Work-Based Language Practice Instructional Model Development To Enhance English-Speaking Skills For Effective Customer Service Among Thai Vocational Students, Henry Yuh Anchunda, Suparada Anchunda, Wareerat Kaewurai, Pakorn Prachanban, Taweesak Sawangmek

PASAA

No abstract provided.

Beyond Linguistic Accuracy : A Culturally Embedded Framework For Assessing Cross-Cultural Speaking Ability Through Performance And Reflective Inquiry, Chotiwan Yaemkhayai, Ruedeerath Chusanachoti, Theerawat Theerapojjanee

PASAA

No abstract provided.

Comparative Rhetorical Analysis Of Discussion Sections In Chinese And English Research Articles Across Disciplines, Jingfen Jin, Angkana Tongpoon Patanasorn

PASAA

No abstract provided.

Developing Interactional Competence In The Era Of Chatgpt, Hansun Zhang Waring

PASAA

No abstract provided.

Exploring The Interrelationship Among Emotional Intelligence, Achievement Goals, Cultural Identity, And Self-Actualization On L2 Proficiency : A Path Analysis Of Iranian Efl Learners, Reza Taherkhani, Hashem Sharafi

PASAA

No abstract provided.

The Predictive Validity Of Ielts And Vietnam High School Graduation Examination English Test : Evidence From English Majors, Tuan Anh Nguyen, Hung Viet Nguyen

PASAA

No abstract provided.

Pragmatic Competence And Transfer In Requests And Refusals : A Study Of Efl University Students In Southern Thailand, Uraiwan Rattanapan Noonkong, Usa Intharaksa

PASAA

No abstract provided.

The Impact Of Censorship On Curriculum And Black Women Secondary English Language Arts Teachers In Florida, Crystal Parker

UNF Graduate Theses and Dissertations

This study examined the instructional, curricular, and school climate impacts of book censorship on Black women secondary English Language Arts teachers, exploring how they navigate and/or resist content restrictions. Using educational criticism and portraiture, this qualitative study captures the nuanced narratives of these educators. Grounded in Bourdieu’s Field Theory, along with Culturally Relevant Pedagogy, Historically Responsive Literacy, Mirrors, Windows, and Sliding Glass Doors, and Cognitive Pluralism, the research addresses the following questions: How do Black women teachers describe the influence of recent book bans on their curriculum choices? In what ways do their identities shape their responses to censorship? Data …

Operationalizing Mtss: A Case Study Of Principal Leadership Practices In Guiding School-Based Leadership Teams Through Inquiry And Improvement Science, Heather M. Teto

UNF Graduate Theses and Dissertations

The COVID-19 pandemic widened academic achievement gaps, creating an urgent mandate for school leaders to implement systemic, data-driven frameworks to support student academic recovery. While the Multi-Tiered System of Supports (MTSS) is a widely adopted framework for addressing these disparities, its success is dependent on the strategic involvement and instructional leadership of the school principal. This qualitative case study explores the lived experiences and leadership characteristics of elementary school principals as they lead School-Based Leadership Teams in implementing a district-developed MTSS framework.

Guided by the principles of Improvement Science and the Plan-Do-Study-Act (PDSA) inquiry cycle, this research examines the specific …

The Un-Bridged Pipeline: Leading And Preparing Women Of Color To Senior-Level Higher Education Administration, Jacqueline D. Slater

UNF Graduate Theses and Dissertations

Despite increased educational attainment among Black women, representation in senior‑level leadership positions within higher education remains limited. This qualitative study examines the experiences of Black women who serve or have served in senior‑level academic administrative roles and explores how those experiences inform guidance, preparation, and decision‑making for future Black women leaders. The study focuses on practical barriers, workplace realities, and strategies that shape leadership entry, advancement, and retention.

Using a descriptive case study design, five Black women with professional experience as presidents, provosts, vice provosts, and academic deans participated in semi‑structured interviews lasting 45 to 75 minutes. Purposeful sampling ensured …

Integrating Inquiry, Peer Observation, And Professional Learning Communities: Teachers’ Experiences With A Job-Embedded Professional Learning Design, Tiffany Outman

UNF Graduate Theses and Dissertations

Professional learning is often experienced through disconnected initiatives that limit opportunities for sustained collaboration, reflection, and instructional growth. This qualitative action research study explored teachers’ experiences with the integration of teacher inquiry, peer observation, and professional learning communities (PLCs) as a design for job-embedded professional learning within an elementary school setting. The study emerged from an existing culture of collaboration and peer observation at Timber Oaks Elementary, a suburban elementary school in Northeast Florida, and examined what happened when inquiry was intentionally integrated into those structures as the next stage of the school’s professional learning journey. While the professional learning …

Fostering Reading: Review Of A College Bridge Program For Deaf And Hard Of Hearing High School Students, Cara Wilmot

UNF Graduate Theses and Dissertations

This mixed-methods formative program evaluation examined the reading component of a summer College Bridge Program (CBP) designed for high school students who are deaf and hard of hearing (d/Dhh). Persistent disparities in reading outcomes among d/Dhh students have been linked to differences in language access, communication access, and opportunities to receive specialized instruction. Using the Context, Input, Process, Product (CIPP) evaluation model, this study evaluated how the CBP identified and addressed students' reading needs, implemented evidence-based instructional practices, and supported reading development through a three-week summer program.

Participants included 45 d/Dhh high school students from 12 southeastern states, as well …

Exploring The Undergraduate Student Perceptions Of Sense Of Belonging At Their University: A Q-Methodological Approach, Jose Acevedo

UNF Graduate Theses and Dissertations

       The transition to higher education is a significant life event requiring substantial social, academic, and psychological adjustment, during which a powerful sense of belonging is critical for student success and retention. While traditional models of student retention often prioritize support services and academic integration, they frequently overlook the intricate relational dynamics and deeply personal subjective experiences that shape belonging. This research utilized Q methodology to explore the multifaceted ways undergraduate students at the University of North Florida (UNF) understand and prioritize the determinants of institutional belonging. Guided by an integrated conceptual framework of Maslow’s Hierarchy of Needs, Self-Determination Theory, Social …

Gig Worker Social Referrals On An On-Demand Food Delivery Platform, Hai Wang, Hao Sun, Peter Zhang

Research Collection School Of Computing and Information Systems

Social referral programs are commonly used by online labor platforms to incentivize labor supply by rewarding existing workers for successful referrals. This study investigates the impact of such programs on gig workers' labor supply in online labor platforms using data from an on-demand food delivery platform in Singapore. In particular, we analyze how gig workers' past labor supply and referral behavior influence the generation and value of social referrals. This research offers insights into the mechanisms that drive labor supply dynamics in the gig economy and highlights the effectiveness of social referral programs for shaping worker behavior and enhancing platform …

Can We Read Ai’S Mind? A Quest For Transparency, Santhosh Kumar Ravindran, Estera Kot, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Although Artificial Intelligence (AI) systems are playing an increasing role in critical domains such as healthcare, finance, and autonomous systems, their decision-making processes remain largely opaque. This paper examines the challenges of AI transparency, addressing the “black box” problem using Explainable AI (XAI) techniques such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME). It also examines the ethical, regulatory, and societal implications of AI opacity and proposes a Comprehensive AI Observability (CAO) Framework that integrates deep explainability, provenance tracking, and real-time monitoring to enhance AI accountability. By bridging technical solutions with governance structures, this research emphasizes the …

Interpretable Machine Learning For In-Home Mild Cognitive Impairment Detection, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, Iris Rawtaer

Research Collection School Of Computing and Information Systems

This paper introduces a novel system for in-home cognitive health assessment using ambient sensors and a machine learning technology that can robustly detect mild cognitive impairment (MCI) despite limited available data. The learned model can explain the aspects of individuals’ daily lives led to the prediction, while reliably predicting MCI, providing more insights to healthcare workers for further clinical interventions. We developed the robust transparent machine learning model, based on fusion adaptive resonance theory (Fusion ART) neural network to learn individuals’ daily patterns of activity from continuous sensor data in terms of a suite of digital biomarkers reflecting four key …

Design Principles For Customer-Engaging Digital Service Systems: An Action Research Study, Keng Leng Siau, Xiaofeng Chen, Xin Tan

Research Collection School Of Computing and Information Systems

Digital services represent a business approach employed by organizations to operate in the digital environment. However, systematic development guidelines for developing quality digital service systems are lacking in the literature. The authors identified four general challenges for developing and implementing customer-engaging digital service systems (CEDSS). By employing the method of canonical action research in a digital service system project, they derived 10 design principles for developing high-quality CEDSS. They empirically evaluated the design principles in the development project and through follow-up focus group sessions. The design principles provide applicable and actionable guidelines for the development of CEDSS.

Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau

Research Collection School Of Computing and Information Systems

Healthcare organizations are increasingly adopting digital technologies, with Artificial Intelligence (AI), Data Science, and the metaverse driving significant advancements in smart healthcare. Al facilitates personalized medicine and efficient drug development, while Data Science enables predictive analytics and big data management, enhancing patient outcomes and healthcare quality. The metaverse introduces immersive training and telemedicine platforms, revolutionizing patient engagement and healthcare research. This study conducts' a scoping review of 6,171 articles, analyzing the transformational impact of AI, ChatGPT, Data Science, and the metaverse on healthcare. It highlights the benefits and risks of these technologies, identifies research gaps in their application within the …

Towards Secure Program Partitioning For Smart Contracts With Llm’S In-Context Learning, Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Smart contracts are highly susceptible to manipulation attacks due to the leakage of sensitive information. Addressing manipulation vulnerabilities is particularly challenging because they stem from inherent data confidentiality issues rather than straightforward implementation bugs. To tackle this by preventing sensitive information leakage, we present PARTITIONGPT, the first LLM-driven approach that combines static analysis with the in-context learning capabilities of large language models (LLMs) to partition smart contracts into critical (privileged) and normal codebases, guided by a few annotated sensitive data variables. We evaluated PARTITIONGPT on 18 annotated smart contracts containing 99 sensitive functions. The results demonstrate that PARTITIONGPT successfully generates …

Dystop: Dynamic Staleness Control And Topology Construction For Asynchronous Decentralized Federated Learning, Yizhou Shi, Qianpiao Ma, Yan Xu, Junlong Zhou, Ming Hu, Yunming Liao

Research Collection School Of Computing and Information Systems

Federated Learning (FL) has emerged as a potential distributed learning paradigm that enables model training on edge devices (i.e., workers) while preserving data privacy. However, its reliance on a centralized server leads to limited scalability. Decentralized federated learning (DFL) eliminates the dependency on a centralized server by enabling peer-to-peer model exchange. Existing DFL mechanisms mainly employ synchronous communication, which may result in training inefficiencies under heterogeneous and dynamic edge environments. Although a few recent asynchronous DFL (ADFL) mechanisms have been proposed to address these issues, they typically yield stale model aggregation and frequent model transmission, leading to degraded training performance …

Revisiting The Canonicalization For Fast And Accurate Crystal Tensor Property Prediction, Haowei Hua Hua, Jingwen Yang, Wanyu Lin, Pan Zhou

Research Collection School Of Computing and Information Systems

Predicting the tensor properties of crystalline materials is a fundamental task in materials science. Unlike single-value property prediction, which is inherently invariant, tensor property prediction requires maintaining O(3) group tensor equivariance. Such equivariance constraint often requires specialized architecture designs to achieve effective predictions, inevitably introducing tremendous computational costs. Canonicalization, a classical technique for geometry, has recently been explored for efficient learning with symmetry. In this work, we revisit the problem of crystal tensor property prediction through the lens of canonicalization. Specifically, we demonstrate how polar decomposition, a simple yet efficient algebraic method, can serve as a form of canonicalization and …

Understanding Wage Theft: Beyond The Numbers Through Community Practice, Lived Experience, And Research, André Simões Da Silva, Lenita Reason, Cristina Araujo Brinkerhoff

Gastón Institute Publications

Wage theft is a widespread form of labor exploitation that disproportionately affects immigrant and other vulnerable workers. This report examines the scope and impact of wage theft in Massachusetts by analyzing case data from the Brazilian Worker Center (BWC) alongside wage and labor enforcement data from the Massachusetts Attorney General’s Office (AGO). The analysis demonstrates how wage theft affects immigrant workers across industries, with particularly high numbers of cases in construction, cleaning, and hospitality. The data also reveal significant gaps in the reporting and enforcement of wage violations, particularly among domestic workers, whose cases are likely substantially underrepresented in available …

Social Support, Trauma And Neurophysiological Stress, Devon S. Glicken

UNF Graduate Theses and Dissertations

Traumatic life experiences and the prolonged effects of stress can negatively impact an individual’s mental and physical health. Hyperreactivity to acute stressors can often be seen in individuals with anxiety, depression, and suicidal ideations, conditions commonly observed with endocrine dysfunction. How do traumatic experiences, particularly experiences related to military affiliation, influence stress responses and feelings of burdensomeness and thwarted belongingness? This study predicted (1) that military-affiliated individuals (and those with PTSD symptomology and high perceived life stress) will have heightened neurophysiological responses to minor levels of acute stress compared to individuals without military-affiliations (and those without PTSD symptomology or high …

What They Learn, What They Use:  A Narrative Inquiry Into Teacher Candidates’ Application And Perceptions Of Their Professional Learning Experiences, Shaundricka Medlock

UNF Graduate Theses and Dissertations

The landscape of teacher preparation is shifting toward clinically rich, practice-based models designed to bridge the longstanding gap between theoretical coursework and the realities of classroom teaching. Despite these reforms, many teacher candidates continue to face challenges in transferring what they learn in teacher preparation programs into effective instructional practice. This disconnect raises concerns about the coherence, responsiveness, and equity of current clinical preparation models, particularly in their ability to prepare future educators for diverse and high-need learning environments. This narrative inquiry study explores how elementary teacher candidates experience and apply professional learning experiences during a year-long internship in a …

Energy-Efficient Security For Narrowband Iot Using Blockchain And Ep-Cumac, Hafizullah Kakar

UNF Graduate Theses and Dissertations

The Narrowband Internet of Things (NB-IoT) continues to expand but faces challenges such as cryptographic overhead and energy consumption. Security frameworks such as blockchain and Energy-Performance Cumulative Message Authentication Codes (EP-CuMAC) rely heavily on SHA-256, which is not optimized for energy-limited devices.

This work unifies two complementary approaches, a hybrid blockchain-based NB-IoT framework and an EP-CuMAC-based framework, by engineering their cryptographic core with an Energy Complexity Model-optimized SHA-256 (ECM-SHA256). ECM applies parallel memory-bank mapping and block-level access optimization to reduce redundant power usage while preserving algorithmic integrity.

Experimental evaluation on identical Intel DDR3 systems using pyRAPL shows energy savings of …

Novice Teachers' Perceptions Of Clinical Experience And Their Preparedness To Teach In High-Need Urban Schools, Robin D. Renelus

UNF Graduate Theses and Dissertations

This hermeneutic phenomenological study examined novice teachers’ perceptions of how clinical experiences in a teacher preparation program prepared them to teach in high-need urban schools. The study included 12 novice teachers with three or fewer years of teaching experience who completed their clinical experience at the same university in Northeast Florida. Data were collected using Seidman’s (2019) three-interview approach, which explored participants’ backgrounds, day-to-day teaching experiences, and reflections on their sense of preparedness. Data were analyzed to develop textural descriptions of what participants experienced and structural descriptions of how those experiences were shaped (Moustakas, 1994).

Participants described clinical experiences as …

From Preparation To Practice: A Study Of Assistant Principals After Completion Of An Aspiring Assistant Principal Preparation Program, Mallory L. Mcconnell

UNF Graduate Theses and Dissertations

Leadership programs and readiness in schools, particularly those in Florida, is well studied. However, few studies have investigated how current assistant principals who have completed Clay County District School’s Aspiring Assistant Principal Program describe their experiences, believe the program has prepared them for the realities of school leadership, or identify the most impactful elements that have supported their leadership development. This case study seeks to collect foundational research knowledge by analyzing data from the program, participants, and key facilitators. Using a sampling of current assistant principals who have completed the Aspiring Assistant Principal Program, this research examines the results in …

Growth And Dielectric Characterization Of Epitaxial Sr1-Xmgxtio3 Thin Films, Richard Badu

UNF Graduate Theses and Dissertations

Complex oxide materials with ferroelectric ground states remain promising candi dates for next-generation high-capacitance and nonlinear microelectronic applica tions. One of those materials is SrTiO3 (STO). However, STO is an incipient fer roelectric with anomalously high dielectric permittivity at low temperatures. STO crystals possess a highly polarizable lattice that is sensitive to even small amounts of impurities. Substituting Mg into the STO matrix is predicted to induce a corre lation between ferroelectric and relaxor behavior. In this thesis, we demonstrated the growth of a series of epitaxial STO and Sr1-xMgxTiO3 thin films using molec ular beam epitaxy. The surface evolution …

Genetic Diversity Of Cryptosporidium Species In New York State, Kimberly A. Mergen

Electronic Theses & Dissertations (2024 - present)

The knowledge regarding Cryptosporidium infections in New York State (NYS) is severely lacking in two ways: 1) there are currently no NYS-based data regarding the subtypes of Cryptosporidium parvum and Cryptosporidium hominis, which are the two most prevalent species that infect humans and 2) information regarding uncommon Cryptosporidium species that infect the New York population is also unavailable. Filling these gaps concerning this pathogenic parasite would provide a substantial amount of information when considering public health, outbreak investigations, and prevention measures. Therefore, improving Cryptosporidium subtype and species surveillance in NYS will aid in prevention and control efforts as well …

Studies Towards Chemical Synthesis Of Homogeneous Prion Glycoprotein, Baotong Tian

Electronic Theses & Dissertations (2024 - present)

Prion diseases are fatal neurodegenerative disorders initiated by conformational misfolding of the prion protein (PrP), which generates pathogenic conformers that propagate via templated conversion and accumulate as aggregates. Glycosylation can modulate the PrP folding energy landscape, thereby biasing folding trajectories and the distribution of resulting conformational states. Bank vole PrP contains two N-linked glycosylation sites, and disentangling the contributions of site occupancy versus glycan structure requires homogeneous, site-defined glycoforms. In contrast, biosynthetic expression typically produces heterogeneous glycoform ensembles due to multistep Golgi processing, precluding independent control of glycan identity at each site. Here we report a chemical synthesis strategy of …