Digital Commons Network^™

Examining The Correlation Between Special Education Eligibility And Socioeconomic Status In Rural Minnesota Public Schools, Lisa Schlosser

Education Doctorate Dissertations

The study examined the relationship between socioeconomic status (SES) and Special Education identification in rural Minnesota schools, focusing on Specific Learning Disabilities and Other Health Disabilities, to determine whether students from lower-income backgrounds are disproportionately identified for Special Education services. Data were collected from five rural Minnesota public schools, analyzing student-level demographic and eligibility data from the 2022–2023 school year. Descriptive statistics, Pearson’s correlation analysis, and ratio calculations assessed the relationship between SES, indicated by free/reduced-price lunch eligibility, and Special Education identification rates. The results revealed a significant positive correlation (r = 0.84) between students qualifying for free/reduced-price lunch and …

“They’Re All Our Students!” Using Data-Based Individualization To Increase Reading Performance For Students With Disabilities In The Resource Setting, Jennifer J. Hill

All Dissertations

Students with Disabilities (SWDs) are not making progress in reading, and this is a problem that occurs across the nation. The National Assessment of Educational Progress scores showed that students without disabilities are increasing in reading growth, while SWDs showed a decrease in reading (Stevens et al., 2024; Vaughn & Wanzek, 2014). On average, SWDs are about three years behind their peers in reading (Gilmour et al., 2015). All students, including those with disabilities, need to learn how to read because it leads to success in academics and future careers as an adult (Sullivan et al., 2016). If SWDs do …

Partition, Passport And The Documentary Life Of Belonging, Haimanti Roy

History Faculty Publications

As India and Pakistan emerged as two new nation-states after 1947, questions around nationality and citizenship animated official and public discourses. While there were constitutional and legal pronouncements to clarify these matters, this article suggests that particular documents governing mobility became central to how such issues were framed and understood. In particular, this article focuses on the Indian passport and similar documents of mobility control, such as the domicile certificate, permits, and so on, to examine how they worked singly and in conjunction to frame the documentary life of belonging. The article also focuses on particular mobile groups, Muslim minorities …

Response Rates And Response Quality Of Online Course Survey For Deaf College Students: A Mixed-Method Study, Abdulaziz Abdullah M. Alqahtani

Dissertations

The purpose of the current dissertation study was to investigate how different delivery formats (written vs. sign language) of the course survey evaluation affect the response rate, psychometric properties and experiences of deaf and hard of hearing students taking course evaluation of total effectiveness. The following research questions guided this study:

Q1 To what extent do the different delivery formats of the online course evaluation of total effectiveness affect the response rate of DHH college students in KSA? (Quantitative question)

Q2 Do psychometric characteristics of the online course evaluation of total effectiveness differ by the design format of the online …

Regional Perspectives On Service Learning And Implementation Barriers: A Systematic Review, Stephanie Lavaux, José Isaias Salas, Andrés Chiappe, María Soledad Ramírez-Montoya

Artículos científicos

Service learning (SL) is at a pivotal moment as education systems worldwide confront the challenges and opportunities posed by artificial intelligence (AI) and digital technologies. This scoping review synthesizes regional perspectives on SL and examines the barriers to its implementation in higher education. This study adopts a methodological approach widely used in prior educational research, enriched with selected PRISMA processes, namely identification, screening, and eligibility, to enhance its transparency and rigor. A total of 101 peer-reviewed articles were analyzed, using a mixed methods approach. Results are presented for six regions, Africa, Asia, Latin America, Europe, North America, and Oceania, revealing …

Coding Manual: Analyzing Semistructured Interview Data For Master Narratives, Jayson Seaman, Cindy Hartman, Andrew D. Coppens

Faculty Publications

This coding manual accompanies a methodological reorientation in narrative identity research, one that challenges the field’s prevailing “protagonist bias” — the assumption that first-person autobiographical accounts are the primary or most valid source for identifying cultural master narratives as psychological resources. While much psychological research has centered on how individuals narrate their own lives, this approach can obscure the ways that broader cultural narratives are circulated, reinforced, and contested through discourse beyond the self. This method provides researchers with a systematic approach for identifying how master narratives operate across multiple narrative levels, often outside of biographical storytelling.

Non-Efl World Language Teachers’ Perceptions And Experiences With Generative Ai Tools, Georgia Konstantinou

Boise State University Theses and Dissertations

This exploratory quantitative research study explored the perceptions and experiences of non-English as a Foreign Language (non-EFL) world language teachers who were members of online communities of practice regarding their use of generative artificial intelligence (GenAI) tools in their teaching practices. Many research studies began to explore the impact of GenAI tools in various educational settings, and some studies even investigated the perceptions of English as a Foreign Language (EFL) teachers, but research studies exploring the perceptions of non-EFL world language teachers regarding the use of GenAI tools inside and outside of the classroom remain limited. This study addressed this …

Open Educational Resources In Elder Refugee Esl Contexts: Instructor And Administrator Perspectives, Alison Elliott

Boise State University Theses and Dissertations

Open Educational Resources (OER) offer a promising solution to educational disparities through their free, adaptable, and shareable nature, fostering collaboration and innovation in pedagogy. While OER, alongside Open Educational Practices (OEP), has seen a vibrant and growing integration within K-16 foreign language contexts, its application within adult English as a Second Language (ESL) education remains significantly under-researched. Adult ESL contexts, especially those serving refugees, present unique challenges: learners have experienced trauma, interrupted education, and have urgent practical English needs, while adult educators contend with inconsistent training, demanding part-time workloads, and a fragmented professional ecosystem that limits professional development and research …

Enhancing Emotional Accuracy And Behavioral Novelty In Robot Behaviors: A Generative-Discriminative Approach, Rista Baral

Boise State University Theses and Dissertations

Recent advancements in language modeling have improved robotic emotion expressiveness, yet several challenges remain. Many existing robotic expression models rely on fixed rules and static frameworks, which limit their ability to capture the dynamic nature of emotional expression. Additionally, these systems often struggle to balance emotional accuracy with generating novel and varied behaviors. These limitations underscore the need for method capable of delivering both emotionally accurate and diverse robot behaviors.

In this thesis, we addresses these challenges by introducing a new framework for expressive behavior generation in robots. We develop a generative model that generates robot behavior sequences that align …

The Need For Succession Planning In The Non-Profit Sector Through The Lens Of The Black Church: A Qualitative Phenomenological Study, Lydia E. Hylton

Education Doctoral

This qualitative phenomenological study explored the critical need for succession planning within the non-profit sector, focusing on the Black Church as a case study. Through in-depth interviews with church leaders, this research uncovered the challenges and best practices in leadership transitions. The study provided insights into how effective succession planning can ensure organizational sustainability, preserve cultural heritage, and maintain community trust. By understanding the lived experiences of Black church leaders, this research aims to offer practical recommendations that can be applied across the non-profit sector, promoting resilience and continuity in leadership.

Connecting For Success: Evaluating The Frequency Of Check & Connect Meetings On Student Behavior, Kaylee S. Mckinney

Master's Theses

Dropout prevention efforts commonly address risk factors including chronic absenteeism, which continues to be a nationwide concern. Check & Connect is a student engagement intervention that aims to improve graduation rates and mitigate several risk factors of dropout. Previous research has failed to address if the frequency of Check & Connect meetings results in varied effectiveness of the intervention. The current study aims to evaluate the effects of modified frequency of Check & Connect meetings on academic engagement, term grade average, absences, and office discipline referrals through the use of a multiple baseline across participants design. Results revealed that students …

Family-Level Factors That Influence Physical Activity Among Hispanic Adolescents At Risk For Type 2 Diabetes, Sandra Mihail, Ayleen A Hernandez, Erica G Soltero

Children’s Nutrition Research Center Staff Publications

Objective: Family-based health promotion and disease prevention strategies are recommended as best practice; however, there is limited knowledge regarding the family-level factors that influence modifiable behavior risk factors like physical activity (PA) among Latinx adolescents. This study addressed this knowledge gap by using qualitative methods to identify perceptions of family-level factors that influence PA among Hispanic youth.

Methods: We conducted semistructured, open-ended interviews with 20 Latinx adolescents (14-16 years) with obesity (body mass index ≥95th percentile) to identify their perceptions of how family influences PA. Content analysis was used to identify emergent themes, which were then compared across demographic factors, …

Spectacle And The Archipelagic Void: Mark Justiniani, Simulacra, And The Poetics Of Repetition, Luisa L. Gomez

Literary and Cultural Studies Program Faculty Publications

This paper examines the tension between spectacle and meaning in the immersive installations of Filipino artist Mark Justiniani, whose mirror-and-light works produce illusions of infinite regress. While Jean Baudrillard warns against the flattening of meaning in the era of simulacra, I argue that Justiniani repurposes the tools of spectacle to resist simulation. His “void of spectacles” stages not emptiness but layered depth, offering a spatial metaphor for archipelagic thinking—fragmented, entangled, and relational. I read Justiniani’s recursive visual structures alongside the poetics of repetition in the Filipino language, where reduplicated forms such as alaala (memory), guniguni (phantasm), bulong-bulong (rumor), or halakhak …

Comparison Of Psychological Data Between Populations, A Measurement Perspective, Ype H. Poortinga, Hester Van Herk, Johnny Fontaine

Online Readings in Psychology and Culture

In cross-cultural psychology there is a strong tradition of psychometric analysis of bias and invariance (equivalence) after collection of data in distinct populations with identical instruments developed in one population. This implies a focus on measurement outcomes and an operationalist orientation to science. Here we explore how a focus on joint development and content validity of instruments combined with relaxation of the demand of item identity can provide an additional perspective. Three points are addressed:(1) Any comparison between participants from two, or more, populations presumes a common quality (property, attribute) and requires a common measurement scale, a “standard of comparison”. …

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 …