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2026

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"Hopefully This Thing Is Legit:" Student Experiences Of Administrative Burden With A Promise Program, Rosa Maria Acevedo, Denisa Gándara, Sasha Smith May 2026

"Hopefully This Thing Is Legit:" Student Experiences Of Administrative Burden With A Promise Program, Rosa Maria Acevedo, Denisa Gándara, Sasha Smith

Journal of Student Financial Aid

Despite the expansion of tuition-free college (Promise) programs as a financial aid strategy, little is known about how students learn about, navigate, and experience them. This qualitative case study examines how second-year students encounter administrative burdens in a Promise program (PROMISE) at a large university that seeks to minimize compliance costs. Findings reveal a tradeoff between ease of access (low compliance costs) and program-related information (high learning costs). Minimal eligibility requirements contrast with limited marketing, leaving students misinformed about key aspects of their aid. Elevated learning and psychological costs generate stress and uncertainty. Despite these challenges, students draw on navigational, …


Decomposing Large Language Model Generations Based On User Knowledge For Controlled Novelty In Responses, Duc-Hieu Tran, Florian Hartmann May 2026

Decomposing Large Language Model Generations Based On User Knowledge For Controlled Novelty In Responses, Duc-Hieu Tran, Florian Hartmann

Defensive Publications Series

Interactions with large language models are often processed in isolated sessions to manage context constraints and inference costs. This isolation prevents the consolidation of knowledge across different conversations. As a result, generated responses may include redundant information already familiar to a user or present new concepts without adequate context for understanding. This disclosure describes a method where model outputs are decomposed into discrete knowledge blocks based on previous interactions. During the inference process, relevant blocks are retrieved and categorized as either known or novel. Known blocks are referenced to provide context, while new information is explained through connections to established …


“Teas[Ing] The Patient Needle:” Needlework, Intersectionality, And Kinesthetic Memory Sites In Elizabeth Barrett Browning’S Aurora Leigh, Grace Lukens May 2026

“Teas[Ing] The Patient Needle:” Needlework, Intersectionality, And Kinesthetic Memory Sites In Elizabeth Barrett Browning’S Aurora Leigh, Grace Lukens

Articulāte

No abstract provided.


Dying To Be Heard: The Power Of Words In The Lived Experience Of “Severe And Enduring Anorexia Nervosa”, Limor Weinstein May 2026

Dying To Be Heard: The Power Of Words In The Lived Experience Of “Severe And Enduring Anorexia Nervosa”, Limor Weinstein

ETD Collection

Anorexia nervosa, especially when it lasts for several years, is one of the most challenging illnesses to treat and has a high mortality rate. Despite advancements in treatment and care, over 25% of individuals with severe and enduring anorexia nervosa do not fully recover, with many continuing to live with the illness for many years, often facing serious consequences such as disability, early death, or suicide. This Heideggerian phenomenological study explores the lived experiences of individuals who have been diagnosed with anorexia nervosa for over seven years, with a specific focus on communication and messages received, related to the illness …


Masthead May 2026

Masthead

UC Law Environmental Journal

No abstract provided.


Charting The Technological, Ethical, And Academic Concerns And Potentials Of Generative Artificial Intelligence In Qualitative Research, Joseph A. Villarama, Bench G. Fabros, Abegail V. Dela Fuente, Jordan Dale L. Canosa, Samapika Roy May 2026

Charting The Technological, Ethical, And Academic Concerns And Potentials Of Generative Artificial Intelligence In Qualitative Research, Joseph A. Villarama, Bench G. Fabros, Abegail V. Dela Fuente, Jordan Dale L. Canosa, Samapika Roy

Higher Learning Research Communications

Objectives: This research determines the academic, ethical, and technological concerns and potentials of GenAI as perceived by teacher–researchers and explores the concerns and potentials of using GenAI in academic classrooms and qualitative research undertakings.

Methods: This study employed the hermeneutic phenomenological postmodernism approach, which is a qualitative research design that, in the present study, delved into the intricate tapestry of lived experiences of 120 purposely selected teacher–researchers from France, India, Nepal, and the Philippines. The teacher–researchers participated in hybrid in-depth interviews and informal conversations guided by 10 interview questions. Responses were thematically analyzed following the phases of the hermeneutic phenomenology …


Influence Of Semantic Richness On Word Form Learning In Children With Developmental Language Disorder, Mckenzie Scoppa, Sara Benham, Allison Gladfelter, Amanda Steeb, Lisa Goffman May 2026

Influence Of Semantic Richness On Word Form Learning In Children With Developmental Language Disorder, Mckenzie Scoppa, Sara Benham, Allison Gladfelter, Amanda Steeb, Lisa Goffman

CISLL Publications

Purpose:

Children with developmental language disorder (DLD) show a word form learning deficit, characterized by inaccurate and variable productions of novel words. We investigated whether, when a novel word form is introduced, incremental exposure to either a sparse visual referent or a relatively semantically rich story influences the phonetic accuracy and the phonological and articulatory variability of production in children with DLD and their typically developing (TD) peers.

Method:

Thirty-six preschoolers (18 DLD, 18 TD) aged 4;1–5;11 (years;months) were exposed to six novel words, two in each of three semantic cue conditions: no cues, sparse cues (visual referent), and rich …


Leadership As A Mechanism For Improving Discharge Planning And Reducing 30-Day Readmissions In New York City Hospitals, Laila Hasan May 2026

Leadership As A Mechanism For Improving Discharge Planning And Reducing 30-Day Readmissions In New York City Hospitals, Laila Hasan

Walden Dissertations and Doctoral Studies

No abstract provided.


Becoming Our Best: Professional Identity Formation As A Pathway To Lawyering Excellence In The Age Of Generative Ai, Jessica Lynn Wherry, Frances C. Delaurentis May 2026

Becoming Our Best: Professional Identity Formation As A Pathway To Lawyering Excellence In The Age Of Generative Ai, Jessica Lynn Wherry, Frances C. Delaurentis

St. Mary's Law Journal

No abstract provided.


Early Detection Of Alzheimer's Disease And Related Dementias From Spontaneous Speech Using Foundation Speech And Language Models: Comparative Evaluation, Jingyu Li, Lingchao Mao, Xi Mao, Hairong Wang, Zhendong Wang, Xuelei Sherry Ni May 2026

Early Detection Of Alzheimer's Disease And Related Dementias From Spontaneous Speech Using Foundation Speech And Language Models: Comparative Evaluation, Jingyu Li, Lingchao Mao, Xi Mao, Hairong Wang, Zhendong Wang, Xuelei Sherry Ni

School of Economics and Finance Faculty Publications

Background: Alzheimer's disease and related dementias (ADRD) are progressive neurodegenerative conditions where early detection is critical for timely intervention and care planning. However, current diagnostic methods are often inaccessible, costly, and delayed, especially for underserved populations. There is a growing need for scalable, noninvasive tools that can support timely diagnosis. Spontaneous speech contains rich acoustic and linguistic markers that can serve as noninvasive behavioral markers for cognitive decline. Foundation models, pretrained on large-scale audio or text data, generate high-dimensional embeddings that encode rich contextual and acoustic information.

Objective: This study benchmarks open-source foundation language and speech models to evaluate their …


Understanding Behavioral And Representational Divergences Of Humans And Machines, Thomas Lasman Botch May 2026

Understanding Behavioral And Representational Divergences Of Humans And Machines, Thomas Lasman Botch

Dartmouth College Ph.D Dissertations

Human behavior and cognition are strikingly variable: people differ from one another in their preferences and abilities, and even from themselves across situations. Yet this diversity arises from common neural machinery shaped by the complex environments humans inhabit. A central objective of cognitive neuroscience is to understand how this varied experience emerges from interactions between brains, agents, and environments. In this dissertation, I argue that comparing behavior and neural computation across humans, artificial systems, and contexts is essential for understanding the flexibility of human cognition. Across three chapters, I use this comparative approach to examine how the rich, multimodal contexts …


2017u_Lac86_Approved_Span-3723-Revision1, Undergraduate Curriculum Council May 2026

2017u_Lac86_Approved_Span-3723-Revision1, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.


2017u_Lac41_Approved_English-Frequency-Prereq-Changes-Bc-Revision1, Undergraduate Curriculum Council May 2026

2017u_Lac41_Approved_English-Frequency-Prereq-Changes-Bc-Revision1, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.


2017g_Lac08_Approved_Eng-5463-Nc-Revised-Revision1, Graduate Council May 2026

2017g_Lac08_Approved_Eng-5463-Nc-Revised-Revision1, Graduate Council

All Approved Curriculum

No abstract provided.


2017g_Lac07_Approved_Eng-5443-Nc-1-Revised-Revision1, Graduate Council May 2026

2017g_Lac07_Approved_Eng-5443-Nc-1-Revised-Revision1, Graduate Council

All Approved Curriculum

No abstract provided.


An Equity-Based And Culturally Responsive Bill Of Rights For Early Childhood Students Of Color With Exceptionalities, Evette Simmons-Reed, Michelle Frazier Trotman Scott, Gloria Tardash, Mildred Boveda, Donna Y. Ford May 2026

An Equity-Based And Culturally Responsive Bill Of Rights For Early Childhood Students Of Color With Exceptionalities, Evette Simmons-Reed, Michelle Frazier Trotman Scott, Gloria Tardash, Mildred Boveda, Donna Y. Ford

Perspectives on Early Childhood Psychology and Education

The COVID-19 pandemic exacerbated existing disparities in early intervention (EI) and early childhood special education (ECSE) services for culturally and linguistically diverse (CLD) disabled children, exposing critical gaps in access, services and support. systemic inconsistencies in implementation, training, and funding, remain barriers limit opportunities for CLD students to benefit, despite the aims of the Individuals with Disabilities Improvement Act (IDEA). To address these inequities, this manuscript proposes an expanded and updated Culturally Responsive Equity-Based Bill of Rights for EI and ECSE. Building upon Ford and colleagues' (2018) work, this revised document extends protections to children aged zero to five, emphasizing …


Phenomenological Variant Of Ecological Systems Theory (Pvest): Implications For Early Childhood Education, Kathryn L. Fletcher, Qunishia N. Carter May 2026

Phenomenological Variant Of Ecological Systems Theory (Pvest): Implications For Early Childhood Education, Kathryn L. Fletcher, Qunishia N. Carter

Perspectives on Early Childhood Psychology and Education

The current article provides an introduction for researchers and educators in the field of early childhood education to Spencer’s Phenomenological Variant of Ecological Systems theory (Spencer’s PVEST; Spencer et al., 1997; Spencer, 2006). Spencer has expanded the importance of context with her position that children experience contexts differently, particularly children from marginalized groups (Spencer et al., 1997; Spencer, 2006). Two main goals for this article are: 1) introduce Spencer’s PVEST to the field of early childhood education; and 2) apply components of this theory to young children’s self-awareness. The overarching aim of this paper is to argue that Spencer’s PVEST …


Latent Transition Analysis: A Statistical Method For Identifying Underlying Subgroups Over Time, Holmes Finch May 2026

Latent Transition Analysis: A Statistical Method For Identifying Underlying Subgroups Over Time, Holmes Finch

Perspectives on Early Childhood Psychology and Education

Researchers working in early childhood research are often interested in assessing change over time in multiple variables. In addition, they may wish to ascertain whether there exist subgroups in the data with respect to these variables, and whether/how membership in these groups is related. Latent transition analysis (LTA) provides such researchers with a useful tool for investigating questions around such groups, including their composition, frequency, and the likelihood of moving from one to another at different points in time. The purpose of this manuscript is to provide a full demonstrate of LTA and show how it can be used to …


2018u_Lac14_Approved_Lon8_Spanish-For-The-Professions-Certificate, Undergraduate Curriculum Council May 2026

2018u_Lac14_Approved_Lon8_Spanish-For-The-Professions-Certificate, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.


2017u_Lac09_Approved_Cd_Fr-1036-2036, Undergraduate Curriculum Council May 2026

2017u_Lac09_Approved_Cd_Fr-1036-2036, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.


2017u_Lac03_Approved_Bc_Fr-Frequency-Changes, Undergraduate Curriculum Council May 2026

2017u_Lac03_Approved_Bc_Fr-Frequency-Changes, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.


2017g_Sm31_Approved_Nc_Cs-6613-Bioinformatics, Graduate Council May 2026

2017g_Sm31_Approved_Nc_Cs-6613-Bioinformatics, Graduate Council

All Approved Curriculum

No abstract provided.


2017g_Sm30_Approved_Nc_Cs-6463-Image-Processing, Graduate Council May 2026

2017g_Sm30_Approved_Nc_Cs-6463-Image-Processing, Graduate Council

All Approved Curriculum

No abstract provided.


2017g_Sm21_Approved_Nc_Cs-6543-Advanced-Database-Systems, Graduate Council May 2026

2017g_Sm21_Approved_Nc_Cs-6543-Advanced-Database-Systems, Graduate Council

All Approved Curriculum

No abstract provided.


2017g_Sm19_Approved_Nc_Cs-6443-Machine-Learning, Graduate Council May 2026

2017g_Sm19_Approved_Nc_Cs-6443-Machine-Learning, Graduate Council

All Approved Curriculum

No abstract provided.


2017g_Sm20_Approved_Nc_Cs-6523-Data-Mining-Techniques, Graduate Council May 2026

2017g_Sm20_Approved_Nc_Cs-6523-Data-Mining-Techniques, Graduate Council

All Approved Curriculum

No abstract provided.


2018g_Ebs03_Approved_Lon13_Mat-Sped, Graduate Council May 2026

2018g_Ebs03_Approved_Lon13_Mat-Sped, Graduate Council

All Approved Curriculum

No abstract provided.


2018g_Ebs04_Approved_Lon13_Mse-Sped-Revision2, Graduate Council May 2026

2018g_Ebs04_Approved_Lon13_Mse-Sped-Revision2, Graduate Council

All Approved Curriculum

No abstract provided.


2017g_Ebs11_Approved_Nc_Eled-6103-Revision1, Graduate Council May 2026

2017g_Ebs11_Approved_Nc_Eled-6103-Revision1, Graduate Council

All Approved Curriculum

No abstract provided.


2017g_Ebs02_Approved_Lon13_Eds-Reading, Graduate Council May 2026

2017g_Ebs02_Approved_Lon13_Eds-Reading, Graduate Council

All Approved Curriculum

No abstract provided.