Digital Commons Network^™

Lost In Translation: Chomskyan Analysis Of Language Variation In Ai, Post-Critical Learners, And Native Speakers, Hannah Van Rijnswou

Holster Scholar Projects

Artificial Intelligence (AI) and Large Language Models (LLMs) have revolutionized linguistic theory, raising questions about human language acquisition. Some argue AI's language generation challenges the concept of innate linguistic ability, while others contend it reinforces it. This research examines AI's "Surplus of the Stimulus" learning—relying on vast datasets—against human language acquisition, particularly within Chomskyan frameworks of Universal Grammar and the "Poverty of the Stimulus." By analyzing language production across three groups—Native English Speakers, Post-Critical Period Second Language Learners, and LLMs—this study compares linguistic complexity using the Lexical Opulence Index (LOI). Data is collected through structured prompts across four linguistic registers: …

“Sometimes I Have To Figure Things Out By Talking About Them”: Conceptualizing Think-Aloud Protocols As Spaces For Reflexivity During Open Textbook Construction, Dawn Atkinson, Stacey Corbitt

Writing

Abstract Open textbooks, freely available open educational resources, have an ever-growing presence in learning environments around the world, though detailed studies of their development are rare. The challenges of tracking textbook writing activity in a precise manner over time may account for this sparsity. To highlight how process-tracing research can contribute insight to the textbook development literature, particularly that focused on open textbook writing, this study addresses the roles that think-aloud protocols (TAPs) played during the construction of an open corequisite writing textbook. The volume, which was designed with underprepared university students in mind, stresses the growth of academic and …

Look Before You Decide: Prompting Active Deduction Of Mllms For Assumptive Reasoning, Yian Li, Wentao Tian, Yang Jiao, Jingjing Chen, Tianwen Qian, Bin Zhu, Na Zhao, Yu‑Gang Jiang

Research Collection School Of Computing and Information Systems

Recently, Multimodal Large Language Models (MLLMs) have achieved significant success across multiple disciplines due to their exceptional instruction-following capabilities and extensive world knowledge. However, whether these MLLMs possess human-like compositional reasoning abilities remains an open problem. To unveil their reasoning behaviors, we first curate a Multimodal Assumptive Reasoning Benchmark (MARS-Bench) in this paper. Interestingly, we find that most prevalent MLLMs can be easily fooled by the introduction of a presupposition into the question, whereas such presuppositions appear naive to human reasoning. Besides, we also propose a simple yet effective method, Active Deduction (AD), a novel reinforcement learning paradigm to encourage …

Viewsrd: 3d Visual Grounding Via Structured Multi-View Decomposition, Ronggang Huang, Haoxin Yang, Yan Cai, Xuemiao Xu, Huaidong Zhang, Shengfeng He

Research Collection School Of Computing and Information Systems

3Dvisual grounding aims to identify and localize objects in a 3Dspacebasedontextualdescriptions. However, existing methods struggle with disentangling targets from anchors in complex multi-anchor queries and resolving inconsisten cies in spatial descriptions caused by perspective variations. To tackle these challenges, we propose ViewSRD, a frame work that formulates 3D visual grounding as a structured multi-view decomposition process. First, the Simple Rela tion Decoupling (SRD) module restructures complex multi anchor queries into a set of targeted single-anchor state ments, generating a structured set of perspective-aware de scriptions that clarify positional relationships. These de composed representations serve as the foundation for the Multi-view …

Visual-Enhanced Multimodal Framework For Flexible Job Shop Scheduling Problem, Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang

Research Collection School Of Computing and Information Systems

Multimodal models leverage complementary information across modalities to enrich feature representations. While visual information shows potential in representing structure for some combinatorial optimization problems (COPs), its application to complex scheduling like the Flexible Job Shop Scheduling Problem (FJSP) remains underexplored. Current learning-based FJSP solvers predominantly rely on handcrafted state features. This dependence can lead to inconsistencies and may not fully capture the problem's intricate dynamics. Crucially, these methods overlook visual modalities. Visual representations offer a distinct advantage by inherently capturing the global topological structure and complex resource interactions within the FJSP state. Unlike localized handcrafted features, this holistic, structural view …

Art4math: Handwritten Mathematical Expression Recognition Via Multimodal Sketch Grounding, Yang Zhou, Jin Wang, Yuxiao Zhang, Kaixiang Huang, Guodong Lu, Jingru Yang, Shengfeng He

Research Collection School Of Computing and Information Systems

Handwritten Mathematical Expression Recognition (HMER) remains a challenging task due to the structural complexity of mathematical notation and the ambiguity of handwritten symbols-e.g., ''ρ'' vs. ''p'' or ''B'' vs. ''β''. While stroke-based models offer disambiguation via temporal cues, most existing methods are constrained by coarse modality fusion and a lack of fine-grained cross-modal alignment, further hindered by limited annotated data. We introduce Art for Math (Art4Math), a novel framework that leverages the structural richness of human sketches to enhance HMER through fine-grained, modality-aware learning. Art4Math follows a two-stage training paradigm: Art Grounding (A-Grd) and Math Decoding (M-Dec). In A-Grd, the …

Language-Driven 3d Human Pose Estimation In Multi-Person Scenarios: A New Dataset And Approach, Tingrui Shen, Bangzhen Liu, Zhirun Fan, Shiting Zhang, Weifeng Pan, Sun Fan, Dan Cao, Shengfeng He

Research Collection School Of Computing and Information Systems

In an NBA game scenario, consider the challenge of locating and analyzing the 3D poses of players performing a user-specified action, such as attempting a shot. Traditional 3D human pose estimation (3DHPE) methods often fall short in such complex, multi-person scenes due to their lack of semantic integration and reliance on isolated pose data. To address these limitations, we introduce Language-Driven 3D Human Pose Estimation (L3DHPE), a novel approach that extends 3DHPE to general multi-person contexts by incorporating detailed language descriptions. We present Panoptic-L3D, the first dataset designed for L3DHPE, featuring 3,838 linguistic annotations for 1,476 individuals across 588 videos, …

Unsupervised Visual Chain-Of-Thought Reasoning Via Preference Optimization, Kesen Zhao, Beier Zhu, Qianru Sun, Hanwang Zhang

Research Collection School Of Computing and Information Systems

Chain-of-thought (CoT) reasoning greatly improves the interpretability and problem-solving abilities of multimodal large language models (MLLMs). However, existing ap proaches focus on text CoT, limiting their ability to lever age visual cues. Visual CoT remains underexplored, and the only work [35] is based on supervised fine-tuning that relies on extensive labeled bounding-box data and is hard to generalize to unseen cases. In this paper, we introduce Unsupervised Visual CoT (UV-CoT), a novel framework for image-level CoT reasoning via preference optimization. UV-CoTperforms preference comparisons between model generated bounding boxes (one is preferred and the other is dis-preferred), eliminating the need for …

From Nature To Finance: The Language Of Environmental Governance Through Unep Reports, Elizabeth Aiken

IPHS 200: Programming Humanity

This project applies the computational text analysis methods from Franco Moretti and Dominique Pestre's "Bankspeak" to examine how the United Nations Environment Programme’s (UNEP) language has evolved in its annual reports from 1975 to 2024. Founded in 1972 as the UN’s main environmental authority, the UNEP plays a vital role in global discourse surrounding climate change and environmental challenges. Using Python-based computational methods to track word frequencies, semantic clusters, and grammatical patterns across five decades of annual reports, this analysis reveals three distinct linguistic periods. These periods include an early period (1975-1989), which emphasizes nature and scientific terms, a middle …

Mentoring Programs For Youth In Hagerstown, Maryland: Addressing The Opioid Epidemic, Stephane Reed

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement: The goal of this social change portfolio is to help develop and promote mentoring programs for youth in Hagerstown, Maryland as preventive strategy to reduce the impact of the opioid epidemic. This initiative seeks to strengthen resilience, enhance academic performance and foster healthy decision-making among adolescents through consistent, supportive adult-youth relationships. The proposed mentoring framework to integrate culturally responsive, trauma-informed and community-based approaches address the systemic and interpersonal factors contributing to misuse in Washington County. Significant Findings: In Washington County, where Hagerstown is located, it continues to experience one of the highest opioids overdoes within Maryland which is …

Addressing Mental Health And Homelessness In The Lower Valley, Viere Arellano-Almazan

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement: To reduce homelessness in the Lower Yakima Valley by implementing early intervention and culturally responsive mental health prevention strategies that enhance access to care, reduce stigma, and strengthen community resilience. Significant Findings: The Lower Yakima Valley faces significant challenges in addressing the intersection of mental health and homelessness due to limited access to culturally and linguistically appropriate care. Research indicates that rural residents particularly Hispanic immigrant and farmworker populations experience elevated levels of psychological distress, stigma, and barriers to accessing services (Armstrong et al., 2022). Applying the Social-Ecological Model has illuminated how multiple interconnected factors influence vulnerability, including …

Veteran Suicide Prevention In Central Florida, Michael Terkos

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement: The goal of this project is to reduce suicide rates among veterans in Central Florida by strengthening protective factors, increasing access to culturally competent, trauma- informed care, and fostering community-based resilience networks that connect veterans, families, and local agencies. Significant Findings: Veteran suicide remains a critical public health concern in Florida, which continues to rank among the states with the highest veteran suicide rates (Florida Department of Health, 2025). Research indicates that approximately 17 veterans die by suicide each day nationwide (U.S. Department of Veterans Affairs [VA], 2022). Key risk factors include post- traumatic stress disorder (PTSD), depression, …

“What Grade Do You Feel You Earned?” Integrating Student-Led Grading With A Labor-Based Grading Framework, Megan Von Bergen

Journal of Response to Writing

This brief article discusses the advantages of using a student grade proposal within a labor-based grading framework, focusing on how the grade proposal may reinforce the equity-related aims of labor-based grading and hone students' ability to self-assess. The article discusses the learning outcomes of the grade proposal and its process, then ends with a sample grade proposal.

Cooperative Learning And The Impact On Student Engagement, Erin Pint

Master's Theses & Capstone Projects

Cooperative learning is an essential instructional approach that supports student engagement. There is limited implementation of this learning method in the classroom which leads to students lacking motivation and opportunities to collaborate with their peers. Research has shown that when teachers incorporate cooperative learning experiences, students demonstrate increased participation which leads to deeper understanding of the content. This inquiry-based research study aims to determine whether cooperative learning can improve student engagement. The study utilized a qualitative approach, using both student and educator surveys as well as field notes. Findings revealed that most students prefer learning alongside at least one peer …

Effective Strategies For Creating Inclusive Ell Curricula In Multicultural Classrooms., Katie Struck

Master's Theses & Capstone Projects

This inquiry-based capstone project examines effective strategies for creating inclusive curricula for English Language Learners (ELLs) in multicultural classrooms, with a focus on leveraging students' first languages (L1) to reduce language barriers and promote motivation, cultural representation, and equitable academic outcomes. Amid the rapid growth of ELL populations in U.S. schools—from 8% to nearly 10% of public enrollment between 2000 and 2016—educators in regions like northwest Iowa face challenges in meeting diverse social and academic needs. A literature review synthesizes recent studies on supporting ELL demographics, preparing school staff, addressing barriers, and implementing evidence-based programs and practices. Conducted in a …

Metaphysical Quandary Of Synthetic Media Transparency, Darrell G. Mottley

Vanderbilt Journal of Entertainment & Technology Law

Artificial intelligence (AI) is reshaping our view of reality. The interaction between human creativity and generative AI presents both opportunities and challenges concerning free speech and innovation. AI’s transformative impact on perceptions of innovation complicates discussions surrounding creativity and societal expectations. A human-centric perspective in the debate over government-mandated transparency for AI-generated creative works reveals a notable conflict. This conflict arises from the need to balance the protection of human creativity with an apparent obligation to provide information about the human or nonhuman origins of creative works. As society increasingly relies on AI technologies to produce art, literature, and other …

Credible Theological Encroachment À La Clemente De Jesús Munguía, Juan Garcia Torres

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Chemistry And Biochemistry Affiliated Publications: Snapshot Of The Research Publications 2019-2024., Jeremy J. Smith, Lutishoor Salisbury

University Libraries Faculty Publications and Presentations

This report highlights the chemistry and biochemistry faculty publications for the period 2019-2024. It includes tables identifying the types of publications, the characteristics of the authors, inter-departmental and external cooperation, summary of the citations of the publications, and the JCR ranking of the journals in which they published.

Ambient Artificial Intelligence In Health Care Documentation: A Review Of Tools, Integration, And Clinical Implications, Jasmin Hundal, Molly Jain Md, Joseph Mccollom Do

PCI Publications and Projects

Introduction: Ambient artificial intelligence (AAI) is increasingly being integrated into clinical workflows to address the documentation burden contributing to clinician burnout. AAI systems use automatic speech recognition and natural language processing to capture real-time clinician–patient dialogue and generate structured documentation within the electronic health record. Methods: This review examines AAI’s technical foundations, clinical applications, and implementation considerations in oncology practice. We describe how current AAI tools extract, classify, and populate relevant clinical content, such as the history of present illness, physical examination findings, and assessment and plan, while adhering to established US coding standards (e.g., International Classification of Diseases [ICD-10]). …

Refugee Health And Nutrition, Miriam Mutambudzi, Naomi Shanguhyia

The Lender Center for Social Justice

Refugees resettled in Syracuse, New York, face persistent challenges to maintaining healthy, culturally appropriate diets, barriers that extend far beyond food availability. This policy brief explores the complex intersection of nutrition, culture, and health equity among refugee families. Through community-engaged research with sub-Saharan African refugee households, findings reveal that food insecurity remains widespread, with families struggling to access familiar ingredients and affordable, nutritious options. Despite these constraints, refugee families demonstrate remarkable resilience and commitment to preserving traditional diets and promoting health within their households. However, limited cultural competence in food assistance programs and exposure of youth to unhealthy dietary norms …

Assessing Cognitive Abilities In Students With Hearing Loss And Specific Learning Disabilities, Pooja Gupta, Corinna V. Cole, William H. Blackwell

Journal of Human Services: Training, Research, and Practice

This literature review synthesizes approximately 30 years of research on students from kindergarten through 12th grade with hearing impairments who are suspected of having a specific learning disability (SLD). Assessing SLDs in these students presents significant challenges, particularly when evaluating cognitive abilities using the Cattell-Horn-Carroll (CHC) theory of intelligence. This theory encompasses seven broad cognitive domains that influence academic success in reading, mathematics, and writing, including crystallized intelligence, fluid and sequential reasoning, long-term and short-term memory, visual processing, auditory processing, and processing speed. Since auditory processing is inherently affected in students with hearing impairments, this review excludes it from discussion. …

Digital Learning And Healing: Impacts Of Ai In Art Therapy, Cassandra E. Buffington-Bates

Journal of Human Services: Training, Research, and Practice

Art therapy, a creative approach to mental and emotional healing, is evolving with digital technologies to improve accessibility and care. This paper explores how artificial intelligence (AI) enhances art therapy by fostering emotional intelligence, collaboration, and personalized interventions. It highlights AI’s potential to support therapy while addressing challenges like empathy, data privacy, and training gaps. Through a literature review, the study offers insights into integrating AI with human-centered practices, providing innovative solutions for emotional and cognitive well-being.

English-Spanish Bilingual Speech Language Pathologists’ Experiences Evaluating English Language Learner Students: Incorporating Conceptual Scoring, Barbara De Jesus Rivera, Raul Prezas

Journal of Human Services: Training, Research, and Practice

The number of multilingual/bilingual students has increased across schools in the United States. Assessment in both the native language and English is considered the standard for evaluating bilingual children referred for language testing. Conceptual Scoring is an evaluation approach for bilingual students that considers the students’ responses in both languages to obtain an overall language score; however, there is variability among practitioners on best practices for multilingual assessment.

Purpose: The current study (a) sought to explore the decision-making process of bilingual SLPs when evaluating bilingual students, (b) to gain a deeper understanding of how bilingual SLPs incorporate conceptual scoring in …

Journey Toward Collective Efficacy: ​The Impact Of Lesson Study In A Professional Learning Community, Julia Rose Pabst

Theses and Dissertations

This mixed methods action research study investigated the impact of a lesson study protocol on elementary teachers’ confidence through the implementation of the Three Read Close Reading Protocol (3RCRP), a research-based reading comprehension strategy. This study, grounded in Bandura’s Social Cognitive Theory, explored how collaborative and practice-based professional learning could bridge the gap between pedagogical knowledge and classroom practice to enhance teacher self-efficacy. The primary research questions focused on how participation in a lesson study influenced teachers’ self-efficacy and which aspects of the protocol were perceived as most influential. Four participants and one participant-observer engaged in a series of Professional …

The Processing Of Emotional Prosody And Semantics In Native And Non-Native Chinese Speakers, Cheng Xiao

Theses and Dissertations

Emotional information in spoken language is conveyed through both semantic and prosodic cues. While listeners interpret the meaning of utterances (what is said), they also detect the speaker’s emotional prosody (how it is said). For non-native speakers, processing these two types of information simultaneously can be challenging, particularly in a tonal language such as Mandarin Chinese, where the same acoustic feature (i.e., pitch) encodes both lexical semantics and emotional prosody. This dissertation reports a series of behavioral and fMRI experiments investigating how native and non-native Chinese speakers perceive and process emotional prosody and semantics in words and sentences. Behaviorally, results …

Anthropomorphism In Language And Thought: The Effect Of Agentive Linguistic Framing On Readers’ Perceptions Of Ai Animacy, Dawson Petersen

Theses and Dissertations

Over the past decade, deep learning AI systems have gone from academic obscurity to near cultural centrality in the developed world. As these technologies become increasingly integrated into daily life, there is growing cause for concern about AI anthropomorphism—i.e., the perception of AIs as more human than they really are. Despite the potential risks, AI developers continue to market their technologies using agentive language that seems to be designed to encourage anthropomorphism. The current dissertation utilizes behavioral and eye-tracking methods to examine the relationship between agentive linguistic framing and AI anthropomorphism in both controlled judgments and automatic inferences. The results …

Implicit Neural Representation For Image Reconstruction, Canyu Zhang

Theses and Dissertations

Image reconstruction seeks to restore corrupted images and recover visual content that has been lost or degraded. Such degradation may result from low resolution, occlusion, masking, or shadow interference. This problem has become an increasingly significant research topic, as visual information plays a central role in almost every aspect of modern life. Neural network based approaches have recently emerged as highly effective solutions for this task. In particular, convolutional neural networks and transformer based architectures have demonstrated remarkable success in producing visually convincing reconstructions. However, these models remain constrained in several important ways, one of the most critical being that …

Recommended Best Practices For Construct-Centered Adaptation Of The Harmonized Cognitive Assessment Protocol, Emily Briceño, Darina Bassil, Pranali Khobragade, Anthony Ngugi, Martine Bejjani, Eric Ochieng, Silvia Mejia-Arango, Salima Douhou, Kazione Kulisewa, Miguel Rentería

Population Health, East Africa

Objectives The Harmonized Cognitive Assessment Protocol (HCAP) neuropsychological assessment approach aims to support the collection of harmonizable data on cognitive function for cross-national cognitive aging and dementia research. As the measurement of cognition is sensitive to differences in contextual, cultural, educational, linguistic, social, and other factors that may influence cognitive test performance, HCAP requires adaptation to be appropriate for the contexts in which it is administered. We aim to provide methodological recommendations for the adaptation and implementation of the HCAP and other cognitive data collection tools in novel settings.

Methods We drew from existing guidelines on cross-cultural psychological test adaptation …

Engaging Chinese And Korean American Communities In Dementia Research: A Journey Of Inclusivity And Partnership, Jing Wang, Xiang Qi, Mary S Mittelman, Eunjung Ko, Yaolin Pei, I Tek Leong, Sungji Park, Katherine Wang, Weiyu Mao, Cynthia Epstein, Bei Wu

Faculty, Staff and Student Publications

Introduction: The New York University Caregiver Intervention plus Enhanced Support Project is a randomized controlled trial of a family-based psychosocial intervention to enhance social support and reduce cardiometabolic risk for Chinese and Korean American dementia caregivers, using culturally tailored recruitment strategies.

Methods: We reviewed reflections from research staff, weekly meeting minutes, debriefing sessions, and progress reports, to identify key challenges and approaches to engaging participants.

Results: Key challenges included reluctance to involve family members, dementia stigma, and resistance to involving family. In response, we engaged online communities, partnered with local organizations, participated in events, and adapted recruitment messages to cultural …

A Model Of Organizational Dynamics Of Phonological Knowledge In Preschool Children Based On Bratianu’S Theory And The Neutrosophic Ahp Technique, Glenda Quimera Ramírez-Apolo, Mila Inés Moreno-Pramatarova, Patricia Elizabeth Lima-Rosero, Sylvia Shayana Tapia-Tapia, María Soledad Andino-Acosta, Mercy Paulina Guerrero-Olalla, Ivonne Cristina Unda-Vargas, Salomé Ruales-Paredes

Neutrosophic Sets and Systems

Phonological knowledge is a component of linguistics that allows children to understand the relationship between sounds and words. It is a skill that should be stimulated and enhanced from the age of 3, as children begin the process of reading and writing at 6. If this component is not yet acquired, it can generate difficulties in the school stage, where learning demands are more challenging and higher cognitive processes are required in terms of decoding phonemes, graphemes, words, and sentences. In this paper, we propose a model that allows us to study the dynamics of phonological knowledge in preschool children. …