Digital Commons Network^™

How To Enable Effective Cooperation Between Humans And Nlp Models: A Survey Of Principles, Formalizations, And Beyond, Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Huang

Research Collection School Of Computing and Information Systems

With the advancement of large language models (LLMs), intelligent models have evolved from mere tools to autonomous agents with their own goals and strategies for cooperating with humans. This evolution has birthed a novel paradigm in NLP, i.e., human-model cooperation, that has yielded remarkable progress in numerous NLP tasks in recent years. In this paper, we take the first step to present a thorough review of human-model cooperation, exploring its principles, formalizations, and open challenges. In particular, we introduce a new taxonomy that provides a unified perspective to summarize existing approaches. Also, we discuss potential frontier areas and their corresponding …

Fact-Audit: An Adaptive Multi-Agent Framework For Dynamic Fact-Checking Evaluation Of Large Language Models, Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have significantly advanced the fact-checking studies. However, existing automated fact-checking evaluation methods rely on static datasets and classification metrics, which fail to automatically evaluate the justification production and uncover the nuanced limitations of LLMs in fact-checking. In this work, we introduce FACT-AUDIT, an agent-driven framework that adaptively and dynamically assesses LLMs’ fact-checking capabilities. Leveraging importance sampling principles and multi-agent collaboration, FACT-AUDIT generates adaptive and scalable datasets, performs iterative model-centric evaluations, and updates assessments based on model-specific responses. By incorporating justification production alongside verdict prediction, this framework provides a comprehensive and evolving audit of LLMs’ factual reasoning …

Foundations Of Quality: A Toolkit For Professional Growth In Infant/Toddler Classrooms, Amber A. Hulin

Masters Projects

This project aims to tackle the issue of inconsistencies in the educational experiences provided by many early childhood programs. This project focuses primarily on the infant/toddler age group. Chapter 1 identifies a key contributing factor in these inconsistencies: a shortage of high-quality teachers due to lack of infant/toddler focused content in teacher preparation programs and further professional development. Chapter 2 reviews the literature including what a high-quality educator is and how a high-quality educator impacts a child’s development. It also identifies the various teacher preparation programs and highlights the lack of infant/toddler content in professional development. Chapter 3 presents a …

A Robust Approach To Possibility Single-Valued Neutrosophic Dombi-Weighted Aggregation Operators For Multiple Attribute Decision-Making, Yousef Al-Qudah, Ayman. A. Hazaymeh, Faisal Al-Sharqi, Mamika Ujianita Romdhini, Sarah Jawad Shoja

Neutrosophic Sets and Systems

No abstract provided.

Digital Biophilia In Web Interface Design For Accessibility And User Well-Being, Bryana Michelle Peifer

Theses

This interdisciplinary study explores the intersection between horticultural therapy and web design, focusing on the impact of biophilic design principles in shaping contemporary practices within digital interface design. This exploration addresses the multifaceted relationship between humanity and the natural world, particularly how this connection serves as a source for the emergence of nature-inspired elements in digital expressions and their subsequent integration into modern web design for accessibility and well-being. As digital environments increasingly dominate daily experiences, the need for digital wellness through nature integration has become critical, especially for individuals who have physical disabilities, limited mobility, or limited access to …

Individual Noise-Tolerance Profiles And Neural Signal-To-Noise Ratio: Insights Into Predicting Speech-In-Noise Performance And Noise-Reduction Outcomes, Subong Kim, Susan Arzac, Natalie Dokic, Jenn Donnelly, Nicole Genser, Kristen Nortwich, Alexis Rooney

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Background/Objectives: Individuals with similar hearing sensitivity exhibit varying levels of tolerance to background noise, a trait tied to unique individual characteristics that affect their responsiveness to noise reduction (NR) processing in hearing aids. The present study aimed to capture such individual characteristics by employing electrophysiological measures and subjective noise-tolerance profiles, and both were analyzed in relation to speech-in-noise performance and NR outcomes. Methods: From a sample of 42 participants with normal hearing, the neural signal-to-noise ratio (SNR)—a cortical index comparing the amplitude ratio between auditory evoked responses to target speech onset versus noise onset—was calculated, and individual noise-tolerance profiles were …

Designing A User-Centered Bias System To Enhance Media Literacy And Factual Accuracy, Anjali Majan

Theses and Dissertations

In an era of rapid news consumption, readers often struggle to detect bias and misinformation. This study examined whether interface design can support more critical engagement with news. We developed a progressive disclosure interface that encouraged users to reflect as they read by gradually revealing bias and factual cues. Participants were assigned to either Progressive Disclosure or Ground News. The experiment involved two phases. In the intervention phase, participants used an interface with support features. In the assessment phase, they completed tasks without the tool. We evaluated their performance using five measures: bias recognition accuracy, bias shift, factuality judgment, overlap …

Multi-Theoretic Perspective Of Backer Decision-Making In Crowdfunding: Interplay Of Backer, Founder And Ai, Maliha Alam

Theses and Dissertations

Crowdfunding has become a transformative mechanism for financing innovation, connecting creators directly with backers while bypassing traditional funding barriers. Despite its rapid global growth, only about 33.7% of campaigns succeed, largely due to ineffective communication of value propositions and lack of backer engagement. This dissertation investigates the complex interplay between project founders, backers, and emerging AI technologies to understand the factors influencing donation intention and to enhance crowdfunding success prediction.

Adopting the behavioral decision-making framework, I draw on multiple theoretical perspectives- signaling theory, the dual-process model of persuasion, and the cognitive-affective trust framework to examine founder- backer interactions. Using a …

Don't Settle For Less: Incorporating Postcolonial And Settler Colonial Perspectives Into The Sociological Canon, Eli Xavier Ornelas

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

For decades now, post-/de-/settler-/ and anticolonial scholars have advanced the argument that sociology has largely failed to incorporate critical insights from theories of empire into the sociological canon. In this dissertation, I argue that introduction to sociology textbooks offer an important vantage point from which to assess conventional sociological knowledge as textbooks are often thought to be “reflections of the discipline.” I analyze the social theory and race chapters of 21 of the most often used introduction to sociology textbooks in the United States to investigate two chapters where insights from theories of empire would be present if indeed incorporated: …

“Self-Compassion Has To Be The Heartbeat Of How I Move Through Life”: A Mixed Methods Study Of Family Caregiver Emotional Well-Being, Sarah O. Rasby

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Often referred to as “hidden patients,” family caregivers endure numerous physical, emotional, psychological, and social hardships due to the demands of caregiving, which often results in their own needs going unmet. With the projected 61.3 million of the baby boomer generation entering the long-term care phase by 2029 along with a mass shortage of professional caregivers post-pandemic, more and more family members are expected to fill in for the role of care without sufficient access to support services (Pollard & Scommegna, 2014; Smith & Chang, 2016). An exploratory, mixed-methods study using a three-group intervention design was utilized to investigate the …

Visual Analog Of Temporal Envelope Benefits Speech Processing In Cochlear Implant Users: A Pilot Functional Near-Infrared Spectroscopy Study On The Associations Between Audiovisual Benefit, Listening Environment, And Peripheral Neural Health, Zi Gao, Yi Yuan, Christopher R. Mueller, Ross A. Aiello, Yingying Wang, Shuman He

Faculty Research, Scholarly, and Creative Activity

Objectives: This study compared the benefit of visual analog of temporal envelope for speech processing across listening environments in postlingually deafened adult cochlear implant users. Associations between cortical activities and peripheral neural health were explored. Design: Speech perception was measured using Harvard/IEEE sentences in quiet and noise with a visually presented sphere whose size was synchronized with the temporal envelope of the sentences. Cortical activities were recorded concurrently using functional near-infrared spectroscopy. Audiovisual benefit was evaluated using sentence scores, activation additivity, and functional connectivity. Peripheral neural health was measured using electrically evoked compound action potentials. Results: Behavioral results showed the …

How Developers Use Type-System Related Programming Language Features, Samuel W. Flint

School of Computing: Dissertations, Theses, and Student Research

Optional type annotations are a popular feature of programming languages that allow developers to omit explicit type information in code while, in some cases, retaining many of the benefits of static typing, such as in-code documentation, improved detection of type errors, or enforcement of code properties. However, how developers use and understand optional type annotations is not clear. The focus of this dissertation is to understand the use and comprehension of optional type annotations.

Optional type annotations are examined through four lenses: first, by examining the evolution of usage in a statically typed programming language (Kotlin, the default language for …

Empirical Evaluation Of Bayes Error Rate Bounds In Binary Classification, Riley May

All Graduate Theses and Dissertations, Fall 2023 to Present

Classification tasks are fundamental in statistical machine learning. In classification tasks, a general goal is to build or select a model that can correctly classify data with as few errors as possible. However, for a particular dataset, the minimal number of errors achievable is seldom zero since overlap in the data makes errors unavoidable. As a result, it is often difficult for machine learning practitioners and data scientists to know whether classification errors can be reduced through further refinement. A potential solution to this lies in the Bayes error rate (BER). The BER is the lowest error rate achievable for …

From Marriage To Migration: Analyzing Return Migration, Gender Inequalities And Household Resource Allocation Patterns, Saeed Ahmad

All Graduate Theses and Dissertations, Fall 2023 to Present

In Kyrgyzstan, a country shaped by deep-rooted traditions and high rates of migration, women's lives are often influenced by powerful cultural expectations, economic pressures, and limited choices. My research explores how these forces intersect—particularly through the lens of bride kidnapping, migration, and how families use money and resources. Together, these issues reveal how gender inequality operates in everyday life, and how women navigate both constraint and resilience.

This dissertation includes three connected studies. The first examines how the COVID-19 pandemic disrupted international labor migration, especially for Kyrgyz migrants working in Russia. Many returnees lost their jobs and faced hostility or …

An Exploratory Study Of The Vertical Snarc Effect In Mayan Numerals: Effects Of Language Transparency And Reading Direction, Emmett A. Speed

All Graduate Theses and Dissertations, Fall 2023 to Present

The Mayan numerical system, used by the ancient Maya people, is very different from the Western Arabic numerical system. Instead of being based on 10, it's based on 20, and it uses dots and bars instead of the numbers 0 through 9. This study explored how people learn and understand Mayan numbers.

Participants took a 2.5-hour online course to learn Mayan numerals and number words. They were tested to see how quickly and accurately they could recognize and compare Mayan numerals. The results showed that people can learn the Mayan number system and use it automatically.

The study also looked …

Distal Impact Of Learning Trajectories On Motivational Factors In Second Language Acquisition Of Adult English Learners, Feng Zhang

All Graduate Theses and Dissertations, Fall 2023 to Present

Learning a foreign language is a long-term process sustained by learners’ motivation, self-efficacy, and self-regulation. While prior research has established that past performance influences these motivational factors, overlooking the impact of past performance on current motivational constructs. This dissertation explores how past learning performance impact current motivational factors. Using a person-centered approach, three subgroups were identified as latent learning profiles within the sample population based on their performance features: the high-performing early peak profile, the stable profile, and the rising profile. Regression models were conducted to evaluate the extent to which latent learning profiles predicted motivational variables. The results showed …

Exploring The Long-Term Impact Of Dating And Family Violence On American Indian Youth And Adults: The Role Of Belongingness In Moderating Negative Effects, Racheal M. Killgore

All Graduate Theses and Dissertations, Fall 2023 to Present

Exposure to violence during childhood and adolescence is an important issue, particularly among Native Americans, who experience violence at higher rates compared to other racial/ethnic groups. This early exposure to violence can significantly affect future physical and mental health outcomes—including depression, substance abuse, suicide attempts, obesity, and premature death—while also shaping subsequent relationships in adulthood. Though widely studied in the general population, research focused on American Indians is lacking, with cultural contexts and factors uniquely shaping the experiences of those affected. In AI/AN communities, belongingness is important for well-being and, as such, is a relevant cultural factor that calls for …

A Scoping Review Of Arabic Self-Reported Measures Of Hearing, Tinnitus And Hyperacusis: Limited Quality And Quantity, Abdulsalam Alhaidary, Kishore Tanniru, Kevin J. Munro, Ahmed Bin Afif, Ibrahim Almufarrij

Saudi Medical Journal

ABSTRACT Objectives: To identify Arabic-language self-report measures related to hearing, tinnitus and hyperacusis and evaluate whether they had been validated and cross-culturally adapted following translation from other languages. Methods: The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR guidelines) and searched 5` information sources (PubMed, Embase, Web of Science, PsycINFO and Google Scholar) from their inception to September 2023, identifying all originally developed or translated Arabic self- or parent-report measures related to hearing, tinnitus and hyperacusis. A total of 1,458 records were screened, with only 28 deemed eligible for inclusion. Results: This …

Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang

Research Collection Yong Pung How School Of Law

Trust in healthcare AI currently over-relies on system design, not lived medical realities.Continuous feedback loops are necessary to embed trust in healthcare AI that is responsive to clinician and patient needs.Initiatives in South-East Asia show how trust in technology can be extended from policy to practice.

Ai In The Judiciary: The Singapore Case, Nydia Remolina Leon

Research Collection Yong Pung How School Of Law

This paper examines the integration of Artificial Intelligence (AI) within the judicial system of Singapore. Singapore's judiciary has embraced AI not as a tool for adjudication, but as an augmentative instrument for legal research, procedural efficiency, and access to justice. It provides a detailed account of AI use cases in the courts, including case summarization, evidence review, assistance for selfrepresented litigants, and tools like the Divorce Assets Informative Division Estimator. The discussion then turns to the legal profession, exploring how law firms in Singapore are adopting AI technologies. The paper also addresses how AI implementation in the judicial system is …

Full Circle: Historiography, Missiology, And Theology In Lin Yutang’S From Pagan To Christian, Teng-Kuan Ng

Research Collection College of Integrative Studies

Lin Yutang (1895–1976) is renowned for bridging the Chinese and Western worlds through his prolific writings, but the vital role of religion in his intercultural endeavors remains underappreciated. This article situates his seminal work of religious reflection, From Pagan to Christian (1959), within the context of World Christianity, defined as both movement and method. Lin’s departure from the Christianity of his youth into Chinese religions—and back again to the church in his later years—presents timely insights for the study of religious change and pluralism in global modernity. Analyzing the text’s decolonizing, dialogical, and polyphonic dimensions, this article brings Lin’s spiritual …

The Marginalization Of Black Students And The Burnout Of Black Teachers, Jasmine N. Wilson

Language Arts Journal of Michigan

Black students' language and culture should matter inside the classroom, but the K-12 education system perpetuates racist ideologies that otherwise stifle and shame Black students and their identities. There is a disproportion between the number of White teachers and Black students in minority-serving K-12 institutions, and this racial mismatch severely influences Black students’ academic success. In addition to the racial mismatch between White teachers and Black students, K-12 institutions foster a prejudiced learning environment that condemns African American English speakers. There is an abundance of research that suggests that Black teachers, Black culture, and Black English are of the utmost …

Reflection And Reimagination As Resistance: Towards Humanizing Critical Writing Pedagogy, Grace Y. Kang, Sonia M. Kline

Language Arts Journal of Michigan

Given the pressures, demands, and standardization teachers face in our sociopolitically charged times, teachers need opportunities to reflect and reimagine their instruction. Drawing on critical and related scholarship, we conceptualize critical humanizing writing pedagogy. We share our instructional moves as teacher educators for enacting humanizing writing pedagogy in a graduate course and supporting teachers to enact humanizing writing pedagogy in their K-12 classrooms. Specifically, we show how a graduate student and practicing teacher found ways to shift toward critical orientations as she navigated her school’s curriculum and state standards. We argue that sociocultural and critical lenses provide powerful tools for …

Dialogic Instruction: Teachers Can Have Their Cake, And Eat It, Too, Rebecca L. Lee

Language Arts Journal of Michigan

Dialogic instruction is a talk-intensive approach to learning and teaching that is student-centered and discussion-based, promoting collaboration and academically productive conversations. Recently, educators across the country have increased the amount of time spent preparing students for standardized assessments, which often reduces teaching and learning to test preparation. While this tension suggests that teachers must choose between good teaching or good test scores, dialogic instruction is a promising practice that can enhance students’ reading comprehension outcomes while centering student choice and valuing student voice. Research shows dialogic instruction is most effective when teachers a) co-create a conducive classroom climate, b) incorporate …

An Examination Of The Lived Experiences Of Community College Students Of Color Who Utilize On-Campus Food Pantries, Maria Luisa Marte

Theses, Dissertations and Culminating Projects

In this dissertation, I present the findings of a descriptive phenomenological study I conducted focused on examining the experiences of community college students of color who utilize on-campus food pantries, aiming to understand how these resources impact their well-being. Through in-depth interviews, two central themes emerged. The first theme, Introduction to the On-Campus Food Pantry, highlights the accessibility of the service, with participants emphasizing the simplicity and efficiency of the registration process as a key factor in their initial engagement. The second theme, Experiences Using the Pantry, reveals that students found the pantry environment to be welcoming and non-stigmatizing, fostering …

A Collaborative Teaching Approach: Teaching Emergent Bilinguals In Higher Education, Erika Oliveros

Theses, Dissertations and Culminating Projects

This dissertation examines the collaboration between two college instructors, one in writing and one in psychology, to enhance support for emergent bilinguals at a private university in the northeastern United States. While collaboration among educators is widely encouraged in K–12 settings, it is far less common and studied in higher education, particularly in relation to language-minoritized students. Through an action research model, this study examines how our informal exchanges evolved into a more intentional and reflective collaboration over time. Grounded in the frameworks of translanguaging (García, 2009) and community cultural wealth (Yosso, 2005), the study traces the evolution of our …

This Is Fine: A Reflexive Case Study On Beliefs, Institutional Rhetoric, And The Quiet Despair Of Capstone Completion, Dana Turner Blair

Graduate Theses and Dissertations

For graduate students, capstone writing is often a stressful process that involves significant obstacles to progress. This dissertation presents an exploratory multi-case study of four graduate capstone writers to examine how institutional contexts and rhetoric shape students’ beliefs and related emotions and behaviors during the high-stakes, low-structure settings of capstone research projects. Data for this study was collected through interviews and reflexively compared with reflections from the principal researcher. To gather insights into the relationship between writers’ internal beliefs and institutional contexts, interview excerpts were analyzed according to both cognitive behavioral coaching and institutional critique frameworks. Findings indicated that students …

Firm Disclosures And Retail Investor Behavior: The Role Of Information Type, Disagreement, And Social Networks, Hansol Yoon

Graduate Theses and Dissertations

This paper examines whether disclosure characteristics–specifically hard versus soft information–influence disagreement among retail investors, whether due to differences in information sets or interpretation, and how such disagreement subsequently affects trading volume. Using a sample of 85,050 earnings conference calls and StockTwits disagreement data from 2010 to 2021, I find that hard information (i.e., earnings figures) is negatively associated with investor disagreement, while soft information (i.e., forward-looking statements) is positively associated with it. Further analysis reveals that the disclosure characteristics impact trading activity only indirectly, through their influence on investor disagreement. Additionally, I examine the moderating role of social network centrality, …

Difficulty In American Dramatic Literature, David Turkel

Dissertations

Speaking broadly, this dissertation explores the marginalization of American drama within the field of literary studies. In attempting to account for this marginalization, theater scholars have tended to invoke the genre’s supposed lack of “difficulty,” meaning its failure to pose meaningful interpretive challenges to its readers. However, this dissertation takes an alternative view of the matter, contending that if American drama has indeed been marginalized, it is not because literary studies departments have regarded it as intrinsically “simpler” than other literary genres; in fact, it is theater scholars who have been more likely to read the genre as simple, or …

Focus: Evaluating Pre-Trained Vision-Language Models On Underspecification Reasoning, Kankan Zhou, Yibin Lai, Kyriakos Mouratidis, Jing Jiang

Research Collection School Of Computing and Information Systems

Humans possess a remarkable ability to interpret underspecified ambiguous statements by inferring their meanings from contexts such as visual inputs. This ability, however, may not be as developed in recent pre-trained visionlanguage models (VLMs). In this paper, we introduce a novel probing dataset called FOCUS to evaluate whether state-of-the-art VLMs have this ability. FOCUS consists of underspecified sentences paired with image contexts and carefully designed probing questions. Our experiments reveal that VLMs still fall short in handling underspecification even when visual inputs that can help resolve the ambiguities are available. To further support research in underspecification, FOCUS will be released …