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The Rider (2025-11-03), Daniela Martinez Salazar

The Rider Archives

Vol. 11, No. 10

Adaptive Vs. Traditional Learning: Long-Term Knowledge Retention -A Literature Review, Amal Altalhi, Chaitali Bonke, Khaled Alblowi

Information Systems Faculty Publications

Adaptive learning, a personalized educational approach, has appeared as a substitute paradigm to conventional teaching methodologies. Opposed to instruction-based learning, adaptive learning prepares learning content in a way that corresponds to individual learner needs, increasing engagement and knowledge retention. The present study has been conducted to review the literature to evaluate the influence of adaptive learning systems on long-term knowledge retention as compared to their traditional counterparts. Real-time feedback, spaced repetition, and scaffolded content can reduce cognitive load and enhance the learning experience, as they are considered highly effective tools. Several studies have shown that retention improves through the use …

Youth Attitudes And Perceptions Regarding Police, Courts, And Political Engagement: A Texas Study, Marika Dawkins-Cavazos, Camille Gibson, Yudu Li

Criminal Justice Faculty Publications

Youth are often perceived as disengaged from civic and political processes, yet their potential to influence elections is receiving increasing attention. This study examined how differences in race, ethnicity, sex, and age shape youth civic engagement, particularly their willingness to vote in the 2024 presidential election. Through surveys of college students in the diverse southern region of the United States, the research explored the relationship between perceptions of law enforcement, trust in the justice system, and civic participation. Specifically, it hypothesized that Black and Hispanic youth would report lower trust in law enforcement, which may influence their willingness to engage …

Smart Learning In An Ai-Driven World, Joseph Rene Corbeil, Maria Elena Corbeil

Teaching and Learning Faculty Publications

SMART learning is an approach that combines sustainability, motivation, adaptability, results-oriented practices, and technology enablement. AI-driven SMART learning prioritizes flexibility, cost-efficiency, and knowledge retention, equipping teachers and students with the tools to adapt to an ever-evolving world. By envisioning AI's role in fostering SMART learning attributes, we pave the way for a future where technology and education intertwine to empower learners and redefine teaching practices.

Love, Community, Errantry: Relational Approaches Toward Mathematical Mistakes, Melissa Adams Corral, Romina S. Peña-Pincheira, José Martínez Hinestroza

Teaching and Learning Faculty Publications

In this article we explore ways of approaching what educators and researchers perceive as mistakes that are consistent with views of mathematics that tolerate ambiguity, contradiction, and multiple possible truths. The approaches we describe draw on works within and beyond the field of mathematics education and detail theories from biologist Humberto Maturana, community organizers Bob Moses and Ella Baker, and poet-philosopher Edouard Glissant. These alternative theoretical perspectives are distinctly relational in their approach. They can build on the field’s current conceptualizations of pedagogical responses to errors in ways that attend to calls for broadening what it means to do mathematics …

The Irrelevance Of “Peak Fame” On Celebrity Candidate Success, Richard T. Longoria, Dana Reyes

Political Science Faculty Publications

Objective

Does it matter “when” a celebrity runs for office? The political scientists who study celebrity candidates need to consider an important insight from communications and media scholars. Fame is a time-dependent variable. Someone who was famous 40 years ago may no longer be widely known today.

Methods

A list of celebrity political candidates who ran for office in the United States between 1865 and 2022 was created to measure campaign success.

Results

In terms of winning an election, it does not matter whether a celebrity candidate runs at the peak of their fame or waits until decades later. What …

Empowering Community Health Workers In Dementia Care In South Texas, Stephanie Santiago-Mejias, Shanae L. Rhodes, Fayron R. Epps, Robin C. Hilsabeck, Noe Garza, Sudha Seshadri, Neela K. Patel

School of Medicine Publications

Alzheimer's disease and related dementias disproportionately affect minority racial and ethnic communities. Community health workers are essential in addressing these disparities. We evaluated the impact of an educational workshop focusing on improving knowledge and preparedness in dementia care. Sixty-one CHWs attended in-person sessions in Texas and completed surveys to measure confidence and plans to apply the knowledge gained. Results revealed a significant increase in confidence in providing dementia care post-training (p < 0.001). Qualitative analysis identified five primary roles of CHWs. These findings demonstrate the potential of training interventions to improve knowledge gaps and empower CHWs to address dementia in underserved communities.

Addressing Language Challenges In Bilingual Neuropsychological Assessments At The South Texas Alzheimer's Disease Research Center (Adrc), Stephanie Santiago-Mejias, Gabrielle Hromas, Ashley Laroche, David A. Gonzalez, Robin C. Hilsabeck, Katya Rascovsky, Silvia Mejia-Arango, Amy Werry-Mcfarlin, Claudia Satizabal, Hector Trevino

School of Medicine Publications

Introduction: Neuropsychological assessment of bilingual (English/Spanish) individuals presents challenges that can impact test validity. Language proficiency influences cognitive performance, yet clear guidelines for determining the appropriate test language are lacking. We describe our experiences at the South Texas Alzheimer's Disease Research Center (STAC) in addressing these challenges within the context of National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) assessments and broader Alzheimer's Disease Research Center (ADRC) protocols. We outline steps toward a structured language assessment approach.

Methods: We implemented a process to assess language proficiency, integrating self-reported and objective measures, including the language dominance index (LDI). Case examples …

Problem-Solving Training To Improve Caregiver Burden And Depressive Symptoms Among Dementia Caregivers: Personal And Clinical Factors Of Responders Vs. Non-Responders, Shannon B. Juengst, Matthew Lee Smith, Kristin Wilmoth, Brittany Wright, Gang Han, Charlene Supnet, Gladys Maestre

School of Medicine Publications

Introduction: Metacognitive strategy training interventions, like Problem-Solving Training/Descubriendo Soluciones Juntos (PST/DSJ), have efficacy for improving caregiver burden and depressive symptoms. We previously demonstrated that PST/DSJ improved caregiver burden and depressive symptoms among caregivers of adults with Alzheimer’s Disease and related dementias (ADRD), regardless of the number of sessions or boosters received. However, these results did not examine factors characterizing those who responded (improvement in caregiver burden or depressive symptoms) or did not respond to the intervention.

Objective: To identify key personal and clinical factors associated with response to PST/DSJ. Personal factors included age, gender, race, Hispanic ethnicity, education, and employment …

Follow Me Into Math: Near-Peer Influencers Take The Stage, Aaron T. Wilson, Sergey Grigorian, Mayra Ortiz Galarza, Xiaohui Wang

School of Mathematical & Statistical Sciences Faculty Publications

Young people like to be entertained, and to entertain others. What if students were to invest enough of their time and effort into learning topics from our mathematics courses to become experts in the eyes of their peers? In this study we positioned college students and high school students as mathematical performers on the stage in front of their nearpeers, for whom they became math influencers, developing and presenting MathShows. The paper shows readers how we positioned students on the stage, using a 7-step MathShow Design Process informed by a Neer-peer Mathematical Mentoring framework. Of import for educators, researchers and …

The Rider (2025-09-22), Daniela Martinez Salazar

The Rider Archives

Vol. 11, No. 4

Educational Services And Language Congruency In Low-Income Children Who Are Deaf Of Hard-Of-Hearing, Courtney J. Austin, Dylan Chan, Jihyun Stephans

Research Colloquium

Background: Children who are deaf or hard-of-hearing (DHH) are required by United States law to have access to educational services through the Individuals with Disabilities in Education Act (IDEA). However, access to language-congruent providers, as well as supplemental services, varies considerably. Household income is associated with poorer hearing care access and outcomes in DHH children. We predict that access to supplemental, language-congruent DHH services is poorer in DHH children from lower-income homes.

Methods: This is a secondary, ad hoc exploratory study of DHH children aged 0-27 months enrolled in a randomized clinical trial (CT.gov: NCT04928209). Children were enrolled across all …

Introduction To Special Issue On Unjust “Permission Structures” In/As Technical Communication, R. J. Lambert, Randall W. Monty, Kymberly O. Morquecho, Sarah Warren-Riley

Writing and Language Studies Faculty Publications

The term “permission structure” has been popularized to describe a specific rhetorical strategy whereby communicators use the audience's existing beliefs and values to persuade them to change their original positions and/or take actions they otherwise would not. Even in its popular uses, permission structuring may be usefully understood as a form of technical communication by which audiences are strategically persuaded to accept or reject complex policy, scientific, and legal topics. However, scholars must resist popular jargon outpacing and superseding the use of technical concepts and critical discourse. Taken together, the seven articles in this special issue potentiate multiple critical, pedagogical, …

Migration In The Early Chesapeake: Dorchester Co., Md, As A Case Study, 1650–1750, Thomas Daniel Knight

History Faculty Publications

This article examines the migration patterns that shaped the early settlement of Dorchester County, Maryland. Dorchester County is located on Maryland’s Eastern Shore, an area distinctive in terms of its geography, history, and culture. In U.S. history, migration has generally proceeded from eastern areas to western ones and from northern areas to southern ones, a pattern dating back to the earliest colonial settlements. Settlement in Dorchester County proceeded primarily from east to west and south to north, with additional migration streams coming from the north out of Delaware and from the west out of Somerset County. This gave Dorchester County …

Mental Health Services For Older Hispanics/Latinos: Incorporating Culture And Context Into Clinical Approaches To Care, Denise Longoria, Romeo Escobar, John M. Gonzalez, Luis R. Torres-Hostos

School of Social Work Faculty Publications

This article discusses older Latinos and their use of mental health services. A brief history of utilization and the contributing factors, including access to services, barriers, and acceptability of mental health services, are included. Sekhon et al.’s theoretical framework of acceptability is discussed in the context of Latino clients. The authors adapt the framework and apply the elements to work with older Latinos and their families. Common stereotypes and faulty assumptions about older Latinos are examined as the Latino population grows and changes in levels of education, language, family structure, roles, religion, and alternative practices continue. Core values for working …

Coding Anti-Discrimination Jurisprudence: A Hybrid Computational Model Of The Arlington Heights Test, Kevin S. Jobe

Philosophy Faculty Publications

The aim of this study is to understand the judicial reasoning process of anti-discrimination jurisprudence by utilizing a hybrid computational model. The advancement of hybrid computational legal studies that combine “law-as-code” and “law-as-data” approaches have led to promising techniques for tackling complex legal reasoning tasks as multifactor judicial reasoning standards. Following this hybrid model, this study conducts a statistical and multilayer perceptron (MLP) analysis of the judicial reasoning process of the multifactor Arlington Heights discriminatory purpose test based on an original hand-coded dataset of discrimination cases. The results of the study show that “sequence of events” predominates the other factors …

Local Identity In The Lives Of The Fathers Of Mérida: When Ethnicity And Religion Aren’T The Point, Erica Buchberger

History Faculty Publications

While scholarship on early medieval Europe often centers ethnicity or religion over other forms of identity, they were not always the most relevant form of identification for contemporaries. In the Lives of the Fathers of Mérida (late sixth-early seventh century), ethnic and religious identity were actually deployed to construct a local identity around the space and people of the city. This article explores how the text did so by closely analyzing terms used and their context, and by applying social scientific theories of boundary construction to illuminate the strategies of identification behind it. It argues that such an approach …

Sharing And Preserving Sociolinguistic Corpora On The U.S.-Mexico Border, Katherine Christoffersen, Isabella Calafate, Julio Ciller, Ana M. Carvalho, Ryan M. Bessett, Brandon J. Martínez, Hannia Rojas Barreda, William Flores, Richard Quiroz

Writing and Language Studies Faculty Publications

Since William Labov outlined the methodology for the sociolinguistic interview in 1972, sociolinguistic corpora have been used widely in the field of sociolinguistics to study diverse speech communities and linguistic features. However, most of these invaluable sociolinguistic collections have been available only to the individual researcher or research group, and these data sets usually disappear from use with that individual scholar. More recently, there has been a push towards data sharing in sociolinguistics, reflective of data sharing and the open science movement in other fields. Still, accessible online sociolinguistic corpora are few and far between, in part due to the …

Can Correction Messages Reduce The Spread Of Fake News On Social Media? The Impact Of Information Updates On The Effectiveness Of Corrections, Kelvin K. King, Diego Escobari

School of Economics and Finance Faculty Publications

Although government agencies and fact-checking organizations issue correction messages to mitigate misinformation dissemination on social media, their efforts have been largely ineffective. Drawing on Information Manipulation Theory (IMT) and information extracted from over 84 million tweets, we examine the impact of correction messages and explore how different information updates affect their effectiveness. Our empirical approach differentiates between subpopulations of correction messages. The results support the existence of two distinct types: correction messages that significantly mitigate the spread of fake news—a 1 percent increase in “effective” messages decreases the spread of fake news by 0.89 percent; and those that amplify the …

Charting Suicide Risk In Latina Adolescents: A Qualitative System Dynamics Approach, Lauren E. Gulbas, Peter S. Hovmand, Esther J. Calzada, Carolina Hausmann-Stabile, Su Yeong Kim, Luis H. Zayas

School of Social Work Faculty Publications

Objectives: Suicide risk among Latina adolescents is shaped by dynamic interactions among emotional, behavioral, and sociocultural factors. This study develops a causal feedback theory to illustrate how these factors reinforce or mitigate suicide risk over time.

Method: Using grounded theory analysis, we analyzed qualitative interviews with 60 Latina adolescents (ages 11-19) recruited from New York City: 30 with a history of suicide attempts and 30 with no reported history of suicidal behaviors. Participants varied by Hispanic cultural group, place of birth, and documentation status.

Results: Our feedback theory is organized around seven categories: cognitive vulnerabilities, avoidant coping, high-risk behaviors, family …

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 …

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 …

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

Theses and Dissertations

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

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

Phase 1 Clinical Trial Of ¡Iniciando! La Adultez: A Culturally Tailored Intervention For Transitioning Latino Young Adults With Autism, Antonio F. Pagán, Ana Esparza, Ana C. Ramirez, Miriam Ortiz, Linda Hernandez, Mary Beth Morgan, Geohanna Noel, Alejandro L. Pagán, Jada Salas, Cecilia Montiel-Nava

Psychological Science Faculty Publications

This Phase 1 clinical trial evaluated ¡Iniciando! la Adultez, a culturally adapted intervention for Latino autistic young adults (n = 56) and their parents (n = 63). Young adults showed significant post-treatment improvements on measures of social responsiveness (SRS-2), adaptive behavior (ABAS-3), executive functioning (BRIEF-A), quality of life (WHOQOL-BREF), transition readiness (TRS-A), coping self-efficacy (CSES), and emotion regulation (DERS-SF). Parents reported significant improvements in their perceptions of their child’s social responsiveness, adaptive behavior, and executive functioning, as well as increased transition readiness ratings. Notably, parents evinced a significant decrease in acculturative stress (RASI) and depressive symptoms (PHQ-9), however, …

Russia And The War In Ukraine: Three Critical Myths, Nicholas Kiersey

Political Science Faculty Publications

Though often framed as a conflict between an autocratic regime and a liberal democracy, the Russo-Ukrainian War also represents a direct challenge to the post-1989 global order and its cosmopolitan norms. Paradoxically, many Critical International Relations (IR) theorists—once skeptical of Western militarism—now align with liberal interventionist responses to the war. Drawing on Cunliffe’s concept of the “utopianism of unipolarity,” this article argues that Critical IR has embraced a reductive “good war” narrative that casts Ukraine as a virtuous subaltern state resisting Russian imperialism, while dismissing left critiques as denials of Ukrainian “agency.” In doing so, Critical IR reproduces cultural myths …

Transforming Cancer Care: A Narrative Review On Leveraging Artificial Intelligence To Advance Immunotherapy In Underserved Communities, Victor M. Vasquez Jr., Molly Mccabe, Jack C. Mckee, Sharon Siby, Usman Hussain, Farah Faizuddin, Aadil Sheikh, Subramanian Dhandayuthapani, Shrikanth Gadad, Jessica Chacon

School of Medicine Publications

Purpose: Cancer immunotherapy has transformed oncology, but underserved populations face persistent disparities in access and outcomes. This review explores how artificial intelligence (AI) can help mitigate these barriers. Methods: We conducted a narrative review based on peer-reviewed literature selected for relevance to artificial intelligence, cancer immunotherapy, and healthcare challenges, without restrictions on publication date. We searched three major electronic databases: PubMed, IEEE Xplore, and arXiv, covering both biomedical and computational literature. The search included publications from January 2015 through April 2024 to capture contemporary developments in AI and cancer immunotherapy. Results: AI tools such as machine learning, …

Latine Students’ Stem Identity Development: Reflecting On Implicit Biases, Imposter Syndrome, Self-Efficacy, And Support Systems, Alyssa G. Cavazos, Valerie Leija, Javier Cavazos Vela

Writing and Language Studies Faculty Publications

This study used an equity ethic framework and a STEM identity model to contextualize and understand Latine students’ perceptions of STEM identity development. The purpose of this study was to investigate how Latine undergraduate students who engaged in STEM coursework perceived their learning experiences and stories of resilience through an equity ethic framework. Data were collected through interviews with 19 Latine college students attending a Hispanic-Serving Institution. Findings revealed the following themes related to Latine students’ STEM identity development and lived experiences in STEM coursework: implicit biases, imposter syndrome, self-efficacy, and support system and resources. Findings highlight the need for …

Chapter 3. Moroccan Arabic-Spanish Bilinguals’ Linguistic Profile And Their Perspectives And Experiences On Learning Standard Arabic, Ramsés Ortín, Pilar Garrido

Writing and Language Studies Faculty Publications

We surveyed a group of Moroccan Arabic-Spanish speakers in the Region of Murcia, Spain, to examine their linguistic profiles, their attitudes towards their native Arabic dialect, their motivations to learn Standard Arabic and their learning experience with Standard Arabic. We found varying degrees of dominance in this group along with fluctuating patterns of dominance, proficiency and language use according to age and onset of acquisition of Spanish. This group displayed generally positive attitudes towards their own dialect and their motivation to learn Arabic was related to their religious and cultural connections. Most of them indicated that they had engaged in …

Different Ways To Broker: School Social Workers, Resource Distribution, And Equity For Immigrant Students, Benjamin J. Roth, Leticia Villarreal Sosa, Tasha Childs, Sophia Rodriguez

School of Social Work Faculty Publications

This study uses quantitative methods to explore the role of school social workers (SSWs) in promoting education equity for immigrant students. We focus on how SSWs act as resource brokers, connecting immigrant students to valuable resources both in schools and the wider community. Our analysis is based on data from a national survey of SSWs (N = 324). Through regression and multivariate analyses we find that a significant number of SSWs actively facilitate resource access for immigrant students. This often involves bridging the gap between teachers and immigrant parents. Notably, SSWs were more likely to engage in these brokerage …