Digital Commons Network^™

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.

Investigating Ui Based And Ai Based Interactions In Vr Environments For Human Anatomy Education, Siddharth Sondhi

Master's Projects

Traditional approaches to learning and simulation often struggle to convey the complexity of three dimensional structures. In anatomy education, methods such as textbooks, lectures, and cadaver based learning are used, but can make it difficult to understand the complex structure of organs within the human body. Virtual Reality (VR) offers a promising alternative by providing immersive and interactive 3D environments that allow users to explore and manipulate anatomical structures more intuitively. These environments can be further enhanced by integrating large language models (LLMs) as intelligent agents capable of guiding users through natural language interaction. This project presents a Unity-based VR …

Javatutor: An Integrated Llm Framework For Structured Programming Tutoring And Problem-Solving In Java, Amey Makarand Dhongade

Master's Projects

Large Language Models (LLMs) are being adopted more actively to assist in pro- gramming tasks, but much of the available AI code assistants devices are encouraging the rapid generation of solutions, as opposed to assisting students in developing an understanding. As a result, they can give the students correct code without teaching on how to judge a problem and how to build solutions or how to debug their programs themselves. This study describes JavaTutor, an LLM-based tutoring system that is used to assist learners in the learning process in a three-step process of understand- ing, generating a solution, and refining …

Choice-Based Crowdshipping For Next-Day Delivery Services: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra

Research Collection School Of Computing and Information Systems

This paper studies integrating the crowd workforce into next-day home delivery services. In this setting, both crowd drivers and contract drivers collaborate in making deliveries. Crowd drivers have limited capacity and can choose not to deliver if the presented tasks do not align with their preferences. The central question addressed is: How can the platform minimize the total task fulfilment cost, which includes payouts to crowd drivers and additional payouts to contract drivers for delivering the unselected tasks by customizing task displays to crowd drivers? To tackle this problem, we formulate it as a finite-horizon Stochastic Decision Problem, capturing crowd …

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 …

Qualitative Study For Llm-Assisted Design Study Process: Strategies, Challenges, And Roles, Shaolun Ruan, Rui Sheng, Xiaolin Wen, Jiachen Wang, Tianyi Zhang, Yong Wang, Tim Dwyer, Jiannan Li

Research Collection School Of Computing and Information Systems

Design studies aim to develop visualization solutions for real-world problems across various application domains. Recently, the emergence of large language models (LLMs) has introduced new opportunities to enhance the design study process, providing capabilities such as creative problem-solving, data handling, and insightful analysis. However, despite their growing popularity, there remains a lack of systematic understanding of how LLMs can effectively assist researchers in visualization-specific design studies. In this paper, we conducted a rnulti-stage qualitative study to fill this gap, which involved 30 design study researchers from diverse backgrounds and expertise levels. Through in-depth interviews and carefully-designed questionnaires, we investigated strategies …

Artem: Enhancing Large Language Model Agents With Spatial-Temporal Episodic Memory, Cassandra Hui Ming Tan, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Current large language models (LLMs) exhibit significant deficiencies in episodic memory tasks including encoding, storing, and retrieving specific information from temporally dependent events over a long period of time. Recent approaches to handle memory tasks in LLMs, such as in-context learning, retrieval-augmented generation (RAG), and fine-tuning, may resolve the long-term retention issues, but are still inadequate to handle tasks requiring chronological awareness of the stored information. We introduce Agentic Retrieval with Temporal-Episodic Memory (ARTEM), a hybrid LLM-based agent architecture integrating LLMs with a self-organizing neural network named Spatial-Temporal Episodic Memory (STEM), designed to handle episodic memory tasks. Our approach employs …

A Meaningful Theory: 25 Years Of Relational Dialectics Theory In The Journal Of Family Communication, Lindsey J. Thomas, Kristina M. Scharp

Faculty Publications - Communications

In commemoration of the 25th anniversary of the Journal of Family Communication (JFC), the present essay celebrates two and a half decades of relational dialectics theory (RDT) in JFC, highlighting the reciprocal relationship between theory and journal. The authors, both of whom have a breadth of experience in conducting RDT research, first provide a history of RDT and an overview of key terms and assumptions. The essay then traces the history of RDT through the first 25 volumes of JFC. A review of the RDT-based original research articles in JFC turns an eye toward the family …

Image Repair Differences Between Human And Ai-Generated Messaging: The Case Of The Chicago White Sox, Joseph R. Blaney, Kevin R. Meyer, Peter M. Smudde, Stephen K. Hunt, Lance R. Lippert, K. Megan Hopper, Roy D. Magnuson

Faculty Publications - Communications

With 121 losses in 2024, the Chicago White Sox set an unwanted record for the most losses in a single Major League Baseball season. Team owner Jerry Reinsdorf wrote a letter apologizing to fans following the season, including additional attempts at image repair. The increasing availability of artificial intelligence (AI) raises unique questions concerning how apology messages ought to be generated and how effective such messages are with disgruntled fans. To determine if the real message from Reinsdorf was effective, we generated a similar apology using AI. Fans were randomly assigned to read the real message from Reinsdorf, one generated …

Strategies That Work: Lessons From Women In Mid- And Senior-Level Information Technology Leadership For Building Inclusive Organizational Cultures, Kashalett Y. Foster

Doctor of Education Dissertations

This mixed methods convergent parallel study explored the leadership experiences of women in mid-level and senior-level roles within the information technology (IT) industry in the United States. Grounded in the Feminist Theory and Glass Ceiling Theory, the study examined workplace factors influencing professional growth, organizational environments, coping mechanisms, and retention strategies. Quantitative data were collected using the Gender Bias in the Workplace Scale (GBWS) and analyzed using descriptive statistics, chi-square goodness-of-fit tests, and analysis of variance (ANOVA). Qualitative data were collected through semi-structured interviews and analyzed using inductive thematic analysis. The findings revealed that mentorship, sponsorship, informal networks, and self-advocacy …

Program Evaluation Of A Trauma-Informed Professional Development Program Implemented In Two Title I Schools, Andrea G. Nordberg

Doctor of Education Dissertations

Adverse childhood experiences (ACEs) influence students’ academic achievement, behavior, and social-emotional development. Because of the significant impact, there is a need for educators to understand and implement trauma-informed strategies and practices within the classroom. The purpose of this program evaluation was to determine the effectiveness of the initial implementation of the professional learning module (PLM) entitled “Compassionate Care: Working With Students With ACEs.” The PLM was implemented at two Title 1 elementary schools in North Carolina. The Kirkpatrick Model’s four levels of evaluation, as expanded upon by Kirkpatrick Partners (2024), served as the evaluation tool, and the qualitative program evaluation …

The Impact Of Ai Recommendation Features On Consumer Purchasing Decisions In E-Commerce Environments, Abdullah Alrumi

CGU Theses & Dissertations

Artificial intelligence recommendation features such as visual search, real-time offers, chatbot interactions, and generative recommendations have become central to e-commerce. A key gap remains because most studies focus on purchase intention instead of actual decisions and examine these AI features separately. This study addresses this gap by asking: What is the impact of AI recommendation features on consumer purchasing decisions in e-commerce environments? Using a sequential mixed-methods design in the Saudi Arabian e-commerce market, the quantitative phase surveyed 343 online shoppers analyzed with PLS-SEM, while the qualitative phase involved 15 interviews analyzed thematically with ATLAS.ti. The conceptual model was informed …

Interview - The Devil’S Own Purgatory: The United States Mississippi River Squadron In The Civil War - Gudmestad, Robert

Civil War Book Review

No abstract provided.

Measuring The Scholarly Impact Of A Bibliography Of Canadian Inuit Periodicals, Sharon Rankin

Library Philosophy and Practice (e-journal)

This study examines how the scholarly impact of specialized bibliographies can be measured over time. Using A Bibliography of Canadian Inuit Periodicals as a case study, it applies Maleki's (2021) framework of fourteen impact metrics to assess the influence of a bibliography documenting periodicals by, for, and about Inuit communities in Canada. Evidence was found for nine impact indicators, including citation, discoverability, and online engagement measures. The findings demonstrate sustained scholarly use and highlight the value of both print and web-based bibliographic resources. In an era increasingly shaped by artificial intelligence and automated information retrieval, the study argues that curated …

A Case Study Of Gender And Online Team Communication In Software Engineering Education, Rita Garcia, Christoph Treude

Research Collection School Of Computing and Information Systems

Collaboration is crucial in Software Engineering (SE), yet factors like gender bias can shape team dynamics and behaviours. This descriptive case study examines an eight-week project involving 39 SE students across eight teams contributing to GitHub projects. Focusing on gender, we used a mixed-methods approach to analyse Slack communications, identifying gender differences in how students respond to initiated communications and comparing how students’ communications influenced other aspects of students’ performance, including learning gains. We found higher help-seeking and leadership behaviours in the all-woman team involved in this case study, while men responded more slowly. Although communication did not directly affect …

The Role Of Automatic Speech Recognition Live Captions In Synchronous In-Person Learning Environments: A Study On Accuracy Rate, Krista M. Rey

Doctor of Education (EdD)

The purpose of this study was to examine the accuracy rate of Automatic Speech Recognition (ASR) live captions in an in-person synchronous classroom setting and the perceptions of participants experiencing them. The reduction in the workforce of Communication Access Realtime Translation (CART) captioners, improvements in ASR, and previous studies suggesting benefits for all learners have left educators, institutions, and policymakers wondering if ASR live captions can ethically meet accessibility requirements under the Americans with Disabilities Act (ADA) and also benefit typically hearing and English Language Learners (ELL). Two general undergraduate education classes were selected to evaluate the accuracy rate of …

Chanticleer | Spring 2026 [Digitized Print Edition], Jacksonville State University

Chanticleer

No abstract provided.

Winning Reflective Essay: 2026 Lhulra Winner Victoria L. Hober, Victoria L. Hober

2026 Lynn Haggard Undergraduate Library Research Award

No abstract provided.

Investigation Of The Impact Models Have On Biot 100 Students Ability To Transfer Their Learning Of How Traits Are Inherited And Expressed, Raghad Awwad

Undergraduate Symposium

No abstract provided.

They Deserved It!: Discourses Of Schadenfreude And Empathy On Reddit, Ben Durante

Undergraduate Symposium

No abstract provided.

The Great Lakes Social Studies Journal Volume 6, Issue 1 Full Issue, Linda Doornbos Dr., Michele S. Phillips

The Great Lakes Social Studies Journal

None

Annual Report Of The Officers, Trustees, Boards, Committees And Agents For The Town Of Nottingham, New Hampshire For The Year Ending December 31, 2025, Nottingham Town Reports

Nottingham, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Francestown, Nh, Annual Reports Of The Officials, Departments And Committees Of The Town Of Francestown For The Calendar Year Ending December 31, 2025, Francestown Town Representatives

Francestown, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Town Of Bath, New Hampshire Annual Report Of The Town Officers Year Ending December 31, 2025, Bath Town Representatives

Bath, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Harvesting Hope In Central Florida With Second Harvest Food Bank, Shayna Caddell, Lucia Hernandez, Correna Bartow, Jonathan Lungstrum, Kevin Wechsler

High Impact Practices Student Showcase Spring 2026

We conducted a culture audit on Second Harvest Food Bank, where we examined the organization and its enacted and espoused values. We used the Social Change Model and the 7Cs to evaluate our observations.

We completed this by individually volunteering for 15 hours. We did many tasks including but not limited to, examining donations, packaging meat, and boxing up meals. Throughout our time, our group learned about the different processes this organization uses. Based on concepts from our Intermediate Foundations of Leadership class and our interview with Sarah Heath, Volunteer Lead, we were able to reflect on how Second Harvest …

Battling Human Trafficking: How Social Media Advertising Influences Awareness, Cami Dobson, Addyson Jones, Giovanni Gioia, Alexandra Boveil

High Impact Practices Student Showcase Spring 2026

In our Principles of Advertising class, our group analyzed an anti-human trafficking non-profit organization, The Lifeboat Project, to create an ad campaign. Specifically, we focused on how to utilize social media in order to reach a target demographic. The Lifeboat Project aims to raise awareness on human trafficking, while also supporting victims through their resources. The purpose of our project was to promote the organization's goal of visibility and prevention tools.

First, we developed our target audience, and created a target persona. We conducted research on the organization and competitors. Using this information, we constructed survey questions, and distributed them …

Predicting Vehicle Combat Effectiveness In Ukraine, Griffin Seel, Cameron Cummins, John O'Toole, Andrew Alexander

High Impact Practices Student Showcase Spring 2026

The 2022 Russia-Ukraine conflict has been a series of relentless tragedies for the people of Ukraine, as well as the ultimate test for NATO defense initiatives. Today, over 3000 Armored Fighting Vehicles (AFV’s) from across NATO member states have been contributed to the Ukrainian army, doubling the size of its armored divisions since 2021. With vehicles sent in from nations as far away as the United States and Sweden, many are asking which vehicles have proved their worth, what makes these vehicles fit to survive on a modern battlefield, and what lessons can we take from the last 4 years …

Variations In Dissolved Oxygen Across Vegetation Zones In A Freshwater Marsh, Stephanie N. Lievano, Aliah Wales Miller, Marissa Pratt, Anya Spara

High Impact Practices Student Showcase Spring 2026

Dissolved oxygen (DO) concentrations are critical indicators of aquatic ecosystem health, yet these levels fluctuate significantly based on the structural and physiological characteristics of dominant vegetation. This study investigated the extent to which DO levels differ among wetland zones dominated by submerged aquatic vegetation (SAV), emergent plants, or floating plant cover. It was hypothesized that SAV-dominated areas would exhibit higher DO concentrations than emergent zones due to the direct release of photosynthetic oxygen into the water column. Data were collected across three diel blocks—morning, afternoon, and evening—in a UCF freshwater marsh using a YSI multiparameter sonde to measure DO, temperature, …

J Am Coll Dent 2026 92 3

Journal of the American College of Dentists

The Journal of the American College of Dentists (JACD) publishes scholarly articles, editorials, essays, and reflections addressing the ethical, professional, and social dimensions of dentistry. The Journal serves as a forum for advancing ethics, professionalism, leadership, and excellence within the dental community. By fostering dialogue across disciplines and perspectives, JACD provides readers with insights that encourage ethical, professional practice, lifelong learning, and service to the public, reinforcing dentistry’s commitment to advancing oral healthcare and the common good.

Evaluation And Impact Of 4th Grade Writing Instruction And Intervention, Sasha R. Smith

Education Theses and Dissertations

The implementation of Texas's redesigned State of Texas Assessments of Academic Readiness (STAAR) introduced extended constructed response (ECR) items that required students to demonstrate reading comprehension through written responses. At the study site, fourth-grade students consistently demonstrated stronger reading comprehension than writing performance, revealing a gap in their ability to communicate understanding using evidence-based written responses. The purpose of this Improvement Science Dissertation in Practice was to evaluate the implementation and impact of a systems-based instructional intervention designed to improve fourth-grade students' performance on constructed response writing tasks through increased instructional coherence and explicit writing instruction. This embedded mixed-methods case …