Digital Commons Network^™

From Policy To Practice In Assessment : A Cefr-Aligned Professional Development Model For Classroom-Based Assessment In Iranian Efl Classrooms, Amir Ghajarieh, Zuraidah Mohd Don

PASAA

No abstract provided.

Cogniwrite : Ai-Enhanced Smart Handouts For Cefr-Based Language Instruction And Retention In Higher Education, Diannike Putri, Barlian Kristanto

PASAA

No abstract provided.

Heteronormativity And Gender Inequality In Three Esp Textbooks In Thailand : Multimodal Discourse Analysis, Akkasit Kathapant, Kriangkrai Vathanalaoha

PASAA

No abstract provided.

The Role Of Translation In Second Language Acquisition : Relevance And Practical Applications In The 21st Century, Benjawan Tipprachaban

PASAA

No abstract provided.

Examining Efl Writing Through Tutor–Tutee Interactions And Revisions : A Case Study Of An L2 Learner In Video-Mediated Online Tutorials, Mei-Hsing Tsai, Wei-Ting Chang, Ya-Ting Chiang

PASAA

No abstract provided.

Effects Of The Learning-Oriented Writing Assessment Model On Efl Undergraduate Students’ Writing Ability, Heng Lu, Chatraporn Piamsai

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.

Social Roles And Faculty Perception Of Collegiate Presidential Candidates, Aaron D. Leedy

UNF Graduate Theses and Dissertations

Presidential positions lack the same diversity seen at all other levels within higher education, with only 32.8% of college presidents identifying as women in 2022 (American Council on Education [ACE], 2023). This documented lack of diversity amongst college presidents seems to point to a historical bias in hiring practices for these positions with extant research (Correll & Benard, 2006; Eagly & Carli, 2018; Friedmann & Efrat-Treister, 2023; Moss-Racusin et al., 2012; Sussman, 2019), showing search committees seem to be biased against women candidates for presidential and other leadership roles. Universities expect leaders to be dominant in their positions, and society …

A Comparative Study Of Classification Methods For Healthcare Analytics, Xueting Zhao

UNF Graduate Theses and Dissertations

This thesis presents a comparative study of logistic regression, Linear Discriminant Analy- sis (LDA), and Quadratic Discriminant Analysis (QDA) for binary classification in healthcare analytics, integrating theoretical derivation, simulation, and real-data application. A facto- rial simulation study crosses the covariance structure (equal vs. unequal), predictor correla- tion (ρ ∈ {0, 0.5, 0.9}), dimensionality (p ∈ {2, 5, 10}) and sample size (n ∈ {50, 100, 200}) across 54 scenarios with 1,000 Monte Carlo replicates each. Three main findings emerge. Logistic regression and LDA are nearly interchangeable when the assumption of equal-covariance holds. QDA achieves substantially better discrimi- nation when class-specific …

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 …

Automatic Generation Of Introductory Programming Exercises With Large Language Models, Nguyen Binh Duong Ta, Hua Gia Phuc Nguyen, Gottipati Swapna

Research Collection School Of Computing and Information Systems

Despite recent advances in code generation made possible by large language models (LLMs), programming is still an essential skill that computing students need to master now and in the foreseeable future. In learning programming, frequent practices with exercises set at an appropriate difficulty and knowledge level is of crucial importance for students. However, it’s not a trivial task for instructors to create many good quality exercises customized for each student. Programming problems found on Internet sources such as LeetCode are mostly too challenging for novice programmers with no prior coding knowledge. Recent work in AI-enabled education has been leveraging LLMs …

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 …

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.

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 …

Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Recently, combining the strength of large language models (LLMs) and Evolutionary Computation (EC) has shown promising results for addressing optimization problems. It typically involves either iterative next-step solution seeking or directly prompting LLMs to generate critical optimization codes. However, these methods often suffer from low computational efficiency, high sensitivity to prompt design, and a lack of domain-specific knowledge. We introduce LLaMoCo, the first instruction-tuning framework designed to adapt LLMs for solving optimization problems in a code-to-code manner. LLaMoCo features a comprehensive instruction set that includes code-style problem descriptions as input prompts and robust optimization codes from expert EC optimizers as …

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 …

Effects Of Pressure-Based Virtual Reality Training On Mental Toughness In Athletes, Rylee J. Aspinwall

UNF Graduate Theses and Dissertations

Athletes often underperform in high-pressure situations due to challenges in emotional regulation rather than deficits in physical skill. Mental toughness, broadly defined as the ability to maintain performance under stress, is a key determinant of athletic success but remains difficult to train using traditional methods. Virtual reality (VR) offers a controlled and immersive environment for simulating competitive pressure; however, its application for training mental toughness remains limited. The present study examined the effects of pressure-based VR training on psychological and physiological responses in collegiate baseball and softball athletes. Participants completed up to eight VR training sessions under either high-pressure or …

Ridit-Based Adaptive Allocation In Two-Stage Clinical Trials With Binary Outcomes, Dewan Fahim

UNF Graduate Theses and Dissertations

This study explores better ways to assign patients to treatments in clinical trials with binary outcomes, such as success or failure. Adaptive methods are used to learn from early results and adjust treatment assignments during the trial, helping more patients receive better performing treatments while maintaining reliable conclusions. We focus on trials comparing multiple treatments using a two-stage design. In the first stage, several treatments are tested to identify the most promising one; in the second stage, that treatment is compared with a control. Unlike traditional equal assignment, we use adaptive allocation in the second stage to make better use …

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 …

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 …

Development And Testing Of A Low-Cost Inertial Impact Sensor, Gabriel Michael Pesek

UNF Graduate Theses and Dissertations

Acceleration sensors have seen increasing usage within sports to detect when somebody receives an impact to their head which can potentially lead to Traumatic Brain Injury (TBI). While adoption of these sensors has steadily risen, the cost of these sensors is often cited as a reason they have not been as widely adopted, especially for amateur teams. This leads to the need for a lower-cost option for detecting these impacts. To fill this gap, a low-cost, lightweight acceleration sensor was designed that exploits the inertia of a working fluid on impact in order to rupture a metallic membrane which acts …

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 …

Constructing The Political “Other”: Affective Polarization And Cross-Ideological Portrayals On Instagram, Amanda M. Novellin

Electronic Theses & Dissertations (2024 - present)

Instagram has frequently been characterized by users as a platform that permits the circulation of hostile and adversarial political content due to comparatively limited moderation practices. In January 2025, Meta CEO Mark Zuckerberg announced changes to content moderation policies on Facebook and Instagram, including the removal of third-party fact-checking mechanisms. These platform-level changes further reshaped the political information environment in which online discourse occurs. However, even prior to these policy changes, Instagram had established itself as a prominent space for highly polarized political expression across the ideological spectrum.

This thesis examines how political polarization in the United States is reflected …

Entropic Foundation Of Finance And Physics: Securities Price Dynamics And Quantum Theory, Mohammad Abedi

Electronic Theses & Dissertations (2024 - present)

In many scientific and financial contexts, we must reason and make predictions under conditions of incomplete information. This dissertation develops Entropic Dynamics (ED) as a unified framework for deriving dynamical laws directly from principles of inference. Within this approach, probability distributions represent states of knowledge, and their evolution is determined through entropy maximization subject to relevant constraints. This leads to a novel concept of entropic time and a formulation of dynamics as an inferential process. In this talk, I will present how ED provides a common foundation across multiple domains. In physics, quantum dynamics for particles and scalar fields in …