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Educational Attainment Patterns Among Mena Adults: A Comparative Study Of Native- And Foreign-Born Groups In The Us, Michael Okyere

Department of Sociology: Dissertations, Theses, and Student Research

This study examines educational attainment patterns among Middle Eastern and North African (MENA) adults in the United States, focusing on how nativity status, residential patterns, and gender shape these outcomes. Drawing on segmented assimilation and spatial assimilation theories, I analyze data from the 2018-2022 American Community Survey using ordered logistic regression models. Results indicate that educational attainment varies by gender, with MENA women consistently achieving higher education levels than men across all nativity groups, though this advantage varies considerably in magnitude between native-born and foreign-born subgroups. Residence in ethnic enclaves demonstrates a strong negative association with educational attainment among foreign-born …

Invisible Algorithms, Visible Outcomes: Roles Of Emotional Labor And Work Gamification In Gigs, Yali Zhang, Liaoliao Li, Xiaoyu Ma, Jun Sun, Yifei Dong, Zhaojun Yang

Information Systems Faculty Publications

As algorithm governance becomes increasingly crucial in gig economy ecosystems, understanding the behavioral impact of algorithmic transparency remains a key research gap. Using the stimulus-organism-response framework and uncertainty management theory, this study examines how platform algorithmic transparency affects gig workers’ in-role and extra-role service behaviors, with emotional labor acting as a mediator and work gamification as a moderator. Analyzing survey data from 325 ride-hailing drivers using partial least squares structural equation modeling (PLS-SEM), the findings reveal that greater algorithmic transparency enhances both in-role and extra-role behaviors. Emotional labor mediates this relationship: deep acting strengthens both behaviors, while surface acting primarily …

Diversity Training In Clinical Child And Pediatric Psychology Programs: Results From A Survey Of Training Directors., Mary Louise Cashel, Shalonda Brooks, Trista Perez Crawford, Omar G. Gudiño, Sharnita Harris, Astrida S. Kaugars, Noriel Lim, Jerlym Porter

Psychology Faculty Research and Publications

This survey study presents satisfaction ratings completed by training directors of graduate, predoctoral internship, and postdoctoral programs in clinical child and pediatric psychology with respect to their culture and diversity training. The approaches to training and areas of diversity focus are also reported. All respondents (n = 42, 71% response rate) were from member programs of the Clinical Child and Pediatric Psychology Training Council, in geographical locations ranging from small towns to large cities across the United States. Over 90% of directors of graduate programs indicated that completing a course on multicultural psychology was a requirement for the program. …

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 …

Conceptions Of Climate Change Skepticism: A Phenomenographic Investigation On Perspectives From Climate Scientists And Climate Activists, Candace L. Penrod

All Graduate Theses and Dissertations, Fall 2023 to Present

This study addresses how climate change denial is understood by climate scientists and climate activists. This research also investigates what communication strategies addressing climate change denial are used by climate scientists and climate activists. Phenomenography was selected as a methodology to address the qualitative and quantitative aspects of this inquiry. Pre-recorded data from interviews with six climate scientists and six climate activists living in the Intermountain West were used as the data source. Interview transcripts were read, marked, and coded to identify how climate scientists and climate activists understood climate change denial. Five conceptions of climate change skepticism were identified …

Authentic Digital Writing Parameters In College Composition: Design, Implementation, And Assessment Of A Culture Jam, Mary Ellen Greenwood

All Graduate Theses and Dissertations, Fall 2023 to Present

As technology reshapes communication, college classrooms must adapt to prepare students for writing in a quickly changing world. This dissertation investigates how authentic writing—writing that feels meaningful, relevant, and tied to real-world purposes—can enhance student motivation, confidence, and writing skills in college composition courses.

The study introduces a multimodal assignment called a Culture Jam, where five participants critiqued and remixed media messages, such as advertisements or social media posts, to create their own critical digital compositions. Over three weeks, participants created their Culture Jams, shared feedback with peers, and reflected on their experiences. This project focused on five key elements …

Reimagining Positionality In Curriculum: Unlocking Consciousness Beyond Hegemonic Boundaries, Haniyeh Kheirkhah Abkenari

Language Arts Journal of Michigan

This paper examines the interplay between hegemonic systems, curriculum, and individual consciousness in diverse life contexts. It underscores the need for critical thinking skills and self-examination to challenge hegemonic ideologies embedded within curriculum materials. The paper emphasizes the potential for curriculum to shape and influence consciousness, yet it also highlights the autonomy of consciousness to critically engage with curriculum content. Positionality and identity are explored, illustrating how they impact an individual's social role and their ability to promote social justice.

Through the Currere as a autoethnography research method, the paper offers a comprehensive reflection on the author's experiences as an …

Faithfulrag: Fact-Level Conflict Modeling For Context-Faithful Retrieval-Augmented Generation, Qinggang Zhang, Zhishang Xiang, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su

Research Collection School Of Computing and Information Systems

Large language models (LLMs) augmented with retrieval systems have demonstrated significant potential in handling knowledge-intensive tasks. However, these models often struggle with unfaithfulness issues, generating outputs that either ignore the retrieved context or inconsistently blend it with the LLM’s parametric knowledge. This issue is particularly severe in cases of knowledge conflict, where the retrieved context conflicts with the model’s parametric knowledge. While existing faithful RAG approaches enforce strict context adherence through well-designed prompts or modified decoding strategies, our analysis reveals a critical limitation: they achieve faithfulness by forcibly suppressing the model’s parametric knowledge, which undermines the model’s internal knowledge structure …

Causalabstain: Enhancing Multilingual Llms With Causal Reasoning For Trustworthy Abstention, Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) often exhibit knowledge disparities across languages. Encouraging LLMs to abstain when faced with knowledge gaps is a promising strategy to reduce hallucinations in multilingual settings. Current abstention strategies for multilingual scenarios primarily rely on generating feedback in various languages using LLMs and performing self-reflection. However, these methods can be adversely impacted by inaccuracies and biases in the generated feedback. To address this, from a causal perspective, we introduce CausalAbstain, a method that helps LLMs determine whether to utilize multiple generated feedback responses and how to identify the most useful ones. Extensive experiments demonstrate that CausalAbstain effectively …

R2dqg: A Quality Meets Diversity Framework For Question Generation Over Knowledge Bases, Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan

Research Collection School Of Computing and Information Systems

The task of Knowledge-Based Question Generation (KBQG) involves generating natural language questions from structured knowledge sources, posing unique challenges in balancing linguistic diversity and semantic relevance. Existing models often focus on maximizing surface-level similarity to ground-truth questions, neglecting the need for diverse syntactic forms and leading to semantic drift during generation. To overcome these challenges, we propose Refine-Reinforced Diverse Question Generation (R2DQG), a two-phase framework leveraging a generation-then-refinement paradigm. The Generator first constructs a diverse set of expressive templates using dependency parse tree similarity, capturing a wide range of syntactic patterns and styles. These templates guide the creation of question …

Xfinbench: Benchmarking Llms In Complex Financial Problem Solving And Reasoning, Zhihan Zhang, Yixin Cao, Lizi Liao

Research Collection School Of Computing and Information Systems

Solving financial problems demands complex reasoning, multimodal data processing, and a broad technical understanding, presenting unique challenges for current large language models (LLMs). We introduce **XFinBench**, a novel benchmark with 4,235 examples designed to evaluate LLM’s ability in solving comple**X**, knowledge-intensive **Fin**ancial problems across diverse graduate-level finance topics with multi-modal context. We identify five core capabilities of LLMs using XFinBench, i.e., _terminology understanding_, _temporal reasoning_, _future forecasting_, _scenario planning_, and _numerical modelling_. Upon XFinBench, we conduct extensive experiments on 18 leading models. The result shows that o1 is the best-performing text-only model with an overall accuracy of 67.3%, but still …

Evaluating And Mitigating Linguistic Discrimination In Large Language Models: Perspectives On Safety Equity And Knowledge Equity, Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang

Research Collection School Of Computing and Information Systems

By training on text in various languages, large language models (LLMs) typically possess multilingual support and demonstrate remarkable capabilities in solving tasks described in different languages. However, LLMs can exhibit linguistic discrimination due to the uneven distribution of training data across languages. That is, LLMs are hard to keep the consistency of responses when faced with the same task but depicted in different languages. In this study, we first explore the consistency in the LLMs’ outputs responding to queries in various languages from two aspects: safety and quality. We conduct this analysis with two datasets (AdvBench and NQ) based on …

Cami: A Counselor Agent Supporting Motivational Interviewing Through State Inference And Topic Exploration, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Phey Ling Kit, Nicholas Gabriel Lim, Cameron Shi Ern Tan, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Conversational counselor agents have become essential tools for addressing the rising demand for scalable and accessible mental health support. This paper introduces CAMI, a novel automated counselor agent grounded in Motivational Interviewing (MI) – a client-centered counseling approach designed to address ambivalence and facilitate behavior change. CAMI employs a novel STAR framework, consisting of client’s state inference, motivation topic exploration, and response generation modules, leveraging large language models (LLMs). These components work together to evoke change talk, aligning with MI principles and improving counseling outcomes for diverse clients. We evaluate CAMI’s performance through both automated and expert evaluations, utilizing simulated …

Knowledge Boundary Of Large Language Models: A Survey, Moxin Li, Yong Zhao, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua, Yang Deng

Research Collection School Of Computing and Information Systems

Although large language models (LLMs) store vast amount of knowledge in their parameters, they still have limitations in the memorization and utilization of certain knowledge, leading to undesired behaviors such as generating untruthful and inaccurate responses. This highlights the critical need to understand the knowledge boundary of LLMs, a concept that remains inadequately defined in existing research. In this survey, we propose a comprehensive definition of the LLM knowledge boundary and introduce a formalized taxonomy categorizing knowledge into four distinct types. Using this foundation, we systematically review the field through three key lenses: the motivation for studying LLM knowledge boundaries, …

Beware Of Your Po! Measuring And Mitigating Ai Safety Risks In Role-Play Fine-Tuning Of Llms, Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu

Research Collection School Of Computing and Information Systems

Although large language models (LLMs) store vast amount of knowledge in their parameters, they still have limitations in the memorization and utilization of certain knowledge, leading to undesired behaviors such as generating untruthful and inaccurate responses. This highlights the critical need to understand the knowledge boundary of LLMs, a concept that remains inadequately defined in existing research. In this survey, we propose a comprehensive definition of the LLM knowledge boundary and introduce a formalized taxonomy categorizing knowledge into four distinct types. Using this foundation, we systematically review the field through three key lenses: the motivation for studying LLM knowledge boundaries, …

Browsing Like Human: A Multimodal Web Agent With Experiential Fast-And-Slow Thinking, Haohao Luo, Jiayi Kuang, Wei Liu, Ying Shen, Jian Luan, Yang Deng

Research Collection School Of Computing and Information Systems

Automating web navigation which aims to build a web agent that follows user instructions to complete tasks like booking flights by interacting with websites, has received increasing attention due to its practical value. Although existing web agents are mostly equipped with visual perception, planning, and memory abilities, their reasoning process are still deviate from human cognition. In this work, we study the human thought pattern to empower agent with more human-like abilities in web navigation. To tackle this problem, we propose a novel multimodal web agent framework called WebExperT, which is designed to emulate the human planning process of “thinking …

Mpo: Multilingual Safety Alignment Via Reward Gap Optimization, Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have become increasingly central to AI applications worldwide, necessitating robust multilingual safety alignment to ensure secure deployment across diverse linguistic contexts. Existing preference learning methods for safety alignment, such as RLHF and DPO, are primarily monolingual and struggle with noisy multilingual data. To address these limitations, we introduce Multilingual reward gaP Optimization (MPO), a novel approach that leverages the well-aligned safety capabilities of the dominant language (e.g., English) to improve safety alignment across multiple languages. MPO directly minimizes the reward gap difference between the dominant language and target languages, effectively transferring safety capabilities while preserving the …

Dreamanime: Learning Style-Identity Textual Disentanglement For Anime And Beyond, Chenshu Xu, Yangyang Xu, Huaidong Zhang, Xuemiao Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

Text-to-image generation models have significantly broadened the horizons of creative expression through the power of natural language. However, navigating these models to generate unique concepts, alter their appearance, or reimagine them in unfamiliar roles presents an intricate challenge. For instance, how can we exploit language-guided models to transpose an anime character into a different art style, or envision a beloved character in a radically different setting or role? This paper unveils a novel approach named DreamAnime, designed to provide this level of creative freedom. Using a minimal set of 2-3 images of a user-specified concept such as an anime character …

Preparing Pre-Service Teachers For Writing Instruction: Best-Practices And Insights Into Self-Efficacy, Lindsey Wiggins

Boise State University Theses and Dissertations

Many pre-service teachers (PSTs) report feeling under-prepared to teach writing, a challenge often linked to limited attention to writing instruction in teacher preparation programs (TPPs). While writing methods courses offer opportunities to build PSTs’ self-efficacy and pedagogical skill, questions remain about how to best structure these experiences and measure their impact. This three-article dissertation examines how PSTs develop self-efficacy for writing and writing instruction during teacher preparation and how those beliefs relate to instructional practices.

In Study I, I conducted a systematic literature review to examine how researchers measure the effects of effective writing and writing instruction interventions with elementary …

Reflections Of Linguistic Experiences In A Borderland: Influences On Cultural Identity And Teacher Praxis, Iliana Cantu

Theses and Dissertations

This Autoethnographic dissertation uses autohistoria-teoria to critically analyze my lived curriculum as a Mexican-born raised in the borderland of the Rio Grande Valley. This research aims to understand the influence of my linguistic experiences on my cultural identity and teaching praxis within the same context. Drawing from Anzaldua’s (1987) concept of Borderlands as a contextual lens and Raciolinguistics as a theoretical framework, I examine and reflect on key linguistic experiences that have perpetuated colonizing linguistic practices rather than fostered linguistic diversity. Additionally, Culturally Linguistic Sustaining Pedagogy serves as a framework to critically analyze my teaching praxis in relation to my …

Barriers To Hispanic Post-Secondary Education In Science Fields, Luis Slayton

Theses and Dissertations

The study aimed to examine whether external barriers could be identified and are present throughout a Hispanic individual's educational life. The beliefs of the Hispanic community regarding education and the nature of acquiring an education could be relevant to the factors that impede the completion of high school. A survey approach was chosen as the methodology for the study due to the confidential nature of a questionnaire. Human nature tends to be more honest when not asked personal questions face-to-face. Additionally, there is potential to generalize attributes from a small sample to a larger population, allowing inferences about the identified …

Intersecting Realities And Evolving Landscapes: Mapping Generative Ai Within The Framework Of Digital Rhetoric, Joshua Troy Nieubuurt

English Theses & Dissertations

The increased usage of [Generative] AI technologies (GenAI) in the 21st century has called into the question the rhetorical agency of these digital things. [Gen]AI has historically been framed within a Heideggerian “readiness-to-hand” dynamic in which it has been unilaterally conceived as a tool to be used by humans. This dissertation proposes that the GenAI assemblage is capable of being a co-actor in rhetorical spaces. To provide evidence for this stance This dissertation utilizes Actor Network Theory to map the actants within a GenAI assemblage. In doing so it allows for an understanding of the stakeholders (both human and non-human) …

Projecting Echoes: Valeria Luiselli's Writing On Immigration, Jacob C. Cisneros

Electronic Theses, Projects, and Dissertations

The growing concerns of immigration has been a fraught topic in both U.S. society and the American political landscape. Certain political narratives are formed which fuel the debate for and against immigration. This coincides with how immigrants are treated and how legal processes change throughout each term of presidency within the United States. This has sparked outrage from both advocates and adversaries of immigrants coming into the United States. Papers, speeches, news articles, and more have been created from both sides of the argument concerning how to handle the immigration crisis along with the question of how immigrants and asylum …

Deaf Faculty Members’ Experiences In Higher Education Institutions, Stephanie Proctor Horvath

Electronic Theses and Dissertations

Deaf faculty members bring diverse perspectives to higher education, yet their experiences remain underexplored in academic research. The critical first year of teaching can shape their career experiences, revealing both opportunities for growth and systemic barriers. The purpose of this study was to understand deaf faculty members’ experiences, focusing on their transition into academic roles, the accommodations provided in their workplaces, and the challenges they faced. This study employed a qualitative phenomenological design, utilizing semi-structured interviews with 15 Deaf faculty members, whose teaching experience ranges from 1 to 30 years. In the reflexive thematic analysis and AI-coding of this data, …

Computational Fact-Checking With Limited Resources, Fengzhu Zeng

Dissertations and Theses Collection (Open Access)

The rapid dissemination of information through online platforms has sparked widespread concern about the propagation of misinformation. Manual fact-checking by pro- fessional fact-checkers is time-consuming and lacks scalability to address the vast volume of daily information. Consequently, computational fact-checking, driven by automated techniques in natural language processing (NLP), has garnered interest as
a potential solution. However, computational fact-checking faces critical challenges limited resources, particularly due to the issues of data scarcity and computing resource constraints. One key challenge is data scarcity, which arises from the constant generation of new information and emerging events on social media. This scarcity manifests in …

Taming The Wild Tongue Of Frida Kahlo: An Analysis Of Translation As Adaptation In Personal Narratives, Alyse K. Deatherage

Electronic Theses, Projects, and Dissertations

This thesis discusses topics of adaptation and translation theory by looking at the way Frida Kahlo’s diary has been transformed through both adaptation and translations of it in the texts The Diary of Frida Kahlo: An Intimate Self-Portrait and The Diary of Frida Kahlo: A New Perspective. Scholars have paid much attention to the connections between Kahlo’s diary and her portraits, focusing on artistic critique and the painter’s diary as a drafting space for what eventually became her famous self-portraits. Researchers have also documented Frida Kahlo’s artistic and cultural influences in Mexico and abroad. However, none have addressed the …

Predicting Music Origin With Deep Learning, Fruzsina Ladanyi

Electronic Theses, Projects, and Dissertations

This project explores the usage of a late fusion deep learning architecture to predict the geographic origin of music. Mel-Frequency Cepstral Coefficients (MFCCs) and the language of the music sample are used as features. MFCCs were extracted from audio files to capture sound features. The language was identified using OpenAI’s Whisper model to provide additional context. A late fusion neural network architecture combining Long Short-Term Memory (LSTM) layers for sequential MFCC input and dense layers for non-sequential language features were employed to support both classification and regression tasks. The classification model achieved an accuracy of 33.03% across 56 countries or …

The Psychological Constructs Of International Graduate Students Transitioning To A University In America: A Thematic Analysis, Umadevi Ramesh

Doctoral Dissertations

This dissertation employed a qualitative analysis methodology to explore the experiences of first-time international graduate students during their transition to university, focusing on initial adjustment, perceived support, perceived discrimination, and mental well-being. Previous studies about international student experience have mainly focused on undergraduate students. Furthermore, few have examined the initial transition period to university and factors involved in both positively and negatively impacting students’ adjustment process as well as overall psychological well-being. Nine participants qualified for inclusion in the present study and participated in semi-structured interviews, which the researcher analyzed using a thematic analysis framework. Participants expressed a strong need …

Promoting Understanding Of Soft Power Theory : A Case Study Of Confucius Institutes Along The Belt And Road, Dan Yang

Lingnan Theses (Doctoral degree)

This dissertation explores the function of Confucius Institutes (CI) as key tools within China’s soft power approach, particularly in the framework of the Belt and Road Initiative (BRI). It provides a detailed and empirically based analysis of how these institutes operate within various national contexts. Drawing upon Joseph Nye’s soft power theory and supported by literature on public diplomacy, this study assesses the ways in which CIs translate cultural, linguistic, and educational assets into international influence. Despite the rapid expansion of CIs globally, their actual effectiveness in achieving cultural diplomacy and tangible soft power outcomes remains uncertain. Advocates emphasize the …

Language Brokering Conditions The Indirect Association Between Mexican‐Origin Adolescents’ Academic Discrimination And Educational Expectations, Su Yeong Kim, Yayu Du, Chantal Alvarado, Wei Xiang Sim, Wen Wen, Tianlu Zhang, Jingyi Shen

Research Collection School of Social Sciences

Mexican‐origin adolescents, a significant portion of the US Latino population, often experience a decline in educational expectations from early to late adolescence. Contextual factors such as academic discrimination and language brokering for parents may contribute to this decline. This study investigates the indirect effect of academic discrimination experienced in middle school on educational expectations in young adulthood through high school grades and engagement, and the moderating role of language brokering experiences in these relations. Data were collected from 604 Mexican‐origin adolescents across four waves from 2012 to 2023. Academic discrimination experiences in middle school were negatively associated with school grades …