Digital Commons Network^™

The Relationship Between School Connectedness And Well-Being Among Racial Minority English Language Learners: Implications For School Counselors, Laura Craven, Jonathan Ohrt, Keeland Lodato

Journal of English Learner Education

Students who feel connected to their school experience better academic performance, social competence, and mental health. English Language Learners (ELL) face unique challenges to school connectedness compared to their English-speaking peers. In this study, we explored the relationship between school connectedness and well-being for 205 racial minority ELL students. ELL students’ perceived school belonging was a significant predictor of well-being. We discuss implications for school counselors, including specific strategies for increasing ELL students’ school connectedness.

Sustained Reading: Multilingual Learners Exploring The Language Of A Text, Priscila J.B.M. Costa, Luciana C. De Oliveira, Meghan Love

Journal of English Learner Education

In US schools, multilingual learners (MLs) are expected to meet the same rigorous disciplinary standards as their English-speaking peers while also developing proficiency in English. This article demonstrates how sustained reading, as part of the Teaching and Learning Cycle, can support MLs' access to disciplinary literacy through the explicit attention to language features. Grounded on the Language-based Approach to Content Instruction (LACI), the article presents a classroom vignette from a 5th-grade social studies lesson in which MLs dissected a mentor text. The lesson illustrates how code-breaking within sustained reading makes disciplinary language visible, helping students notice the linguistic choices common …

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark

Graduate Scholarship and Creative Works

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

Across Borders, Across Cultures: A Quest For Health And Well-Being Portfolio, Carrington Connor

UN SDG Open Pedagogy Faculty Fellowship: Renewable Assignments

No abstract provided.

Ai Hallucinations, Academic Integrity, And Learning-Centered Design, Robert K. Mott, Mary Myers

Teaching & Learning with AI

No abstract provided.

Avoiding Libel (And Possible Defamation Consequences) In The Age Of Ai Detection: Lesson From Journalism For Higher Education, Thomas A. Pear

Teaching & Learning with AI

This presentation argues that educators should not rely solely on AI‑detection tools when accusing students of AI‑assisted plagiarism. Instead, it proposes using detector scores only as “pedagogic probable cause,” a term developed by the author that signals when a submission warrants closer review, not a basis for disciplinary action. The presentation opens by outlining the limitations of current AI detectors, including high false‑positive rates and documented bias against non‑native English writers.

The presentation then reframes the issue through two complementary lenses: investigative journalism and defamation law. Drawing on the Woodward‑and‑Bernstein “two‑source rule,” it contends that a single detector score …

The Regional Ai Ecosystem: Faculty Fellows, Elearning Execution, And Community Partnerships Powering Workforce-Aligned Ai, Christopher Prokes

Teaching & Learning with AI

No abstract provided.

The Multimodal Video Evaluator (Mve): Codifying Decades Of Empirical Research Into A Systematic Multimedia Design & Evaluation Framework, Koichi Sato

Teaching & Learning with AI

Online higher education relies heavily on instructional videos, yet many faculty-produced media assets inadvertently induce high extraneous cognitive load. Instructional designers frequently face an “expert bottleneck,” lacking the operational bandwidth required to conduct manual, frame-by-frame pedagogical audits across expanding institutional media catalogs. To bridge this research-practice gap, this paper presents an operational blueprint for the Multimodal Video Evaluator (MVE), an open-access, AI-driven workflow designed to automate multimedia quality assurance. Built on a native multimodal artificial intelligence architecture, the MVE concurrently processes visual, auditory, and textual streams to evaluate media assets against 127 research-derived design guidelines rooted in the Cognitive Theory …

Responsible Use Of Generative Ai In Peer Review: Where Do We Draw The Line, Marti Snyder

Teaching & Learning with AI

No abstract provided.

From Creating To Publishing: Writing An Oer With Students, Leonora Foels, Ambernicole Pfannenstiel

Teaching Online Pedagogical Repository

Writing and publishing alongside students as an active learning praxis increases student motivation, empowerment, writing skill growth, relationships, and scholarly skills. This strategy provides a framework for supporting experiences with publishing, helping faculty adopters create assignments to author alongside students and publish manuscripts through OER channels.

Reframing Narratives: Remedies For Improved Human Trafficking Coverage, Stefanie Henriques

The Pegasus Review: UCF Undergraduate Research Journal

The global rise in human trafficking is not receiving adequate media attention. While newspaper coverage of the topic has increased, current research argues that the issue is framed with a lack of diversity, limiting audience understanding of its complexity. Some researchers also note that coverage disproportionately focuses on sex trafficking, with minimal attention directed to other forms of trafficking such as the labor or organ trade. This paper conducts a narrative literature analysis of media research on human trafficking, drawing on framing theory to identify dominant frames in media messaging and synthesize cross-cultural factors that impact how the issue is …

Samuel Johnson Dictionary, 1773 Edition, Beth Rapp Young

Research Data and Datasets

This dataset contains digitized page images from the 1773 fourth edition of A Dictionary of the English Language, contributed by the University of Florida and Indiana University as part of a digital humanities project led by Beth Rapp Young. The collection provides foundational primary source material for the study of 18th-century English lexicography and supports research in textual analysis, transcription, and historical linguistics.

Drowning In The Tube, Richard C. Crepeau

On Sport and Society

Several years ago, I was hosting a group of international exchange students at my university. It was memorable and enjoyable for many reasons, not the least of which was watching them in their first encounters with American consumer culture. I remember the first time I took them to a supermarket to get toothpaste and other personal items. As they went down the aisle surveying several brands and types of toothpaste they came to a stop, seemingly frozen by the task of choosing an item. When I asked them what the problem was, they said that there were way too many …

Keratopigmentation: A Comparative Review Of Safety, Indications, And Clinical Outcomes, Emmy L. Colon Alamo

Undergraduate Scholarship and Creative Works

Throughout the years, there has been an upsurge in the quantity of cosmetic procedures aimed at changing eye color or appearance. This trend raises significant concerns about patient safety and visual health, as although many methods are promoted worldwide, their efficacy and, most importantly, safety varies greatly. This review looks at the safety of procedures that alter eye color or appearance, focusing mainly on cosmetic keratopigmentation, which is currently the only legally accepted method for changing eye color in the U.S.

A review of clinical studies was conducted to evaluate the outcomes and complications related to keratopigmentation. Then, these findings …

Co-Developing Syllabus Guidelines By Fostering Critical Ai Literacy Through Reflection, Janet Mannheimer Zydney

Teaching Online Pedagogical Repository

Students co-create the syllabus guidelines on Generative AI use by critically reflecting on when they think it is appropriate to use Generative AI for class after watching informative videos on the mechanisms and resources required for Generative AI to work.

Check-In With A Chatbot: How Robots Are Redefining The Smart Hotel Experience, Jiaxin Sylvia Wang, Xiaoxiao Fu

Rosen Research Review

The research by Wang and Fu explores how guests perceive and experience smart hotels, with a particular focus on human–robot interaction. Analyzing 546 online reviews from Chinese travelers, the study identifies five key dimensions of guest gratification: utilitarian, sensual, social, experiential, and overall satisfaction. Guests praised smart servicescapes, robot efficiency, and novelty, while also expressing emotional connections and expectations for personalized interaction. The findings offer hospitality leaders a roadmap for designing smart hotel experiences that are not only functional but emotionally engaging.

When Robots Say Sorry: Emotions, Apologies, And The Future Of Service Recovery, Ruby Hong Ngoc Nguyen, Ngoc Tran Nguyen, Murat Hancer

Rosen Research Review

The research by Nguyen, Tran Nguyen, and Hancer reveals how human–robot collaboration and apology styles shape customer retention after service failures. Using experimental scenarios, the study shows that robots can effectively lead recovery efforts—especially when paired with economic apologies—while human involvement enhances the impact of social apologies. Comfort emotions and continued robot usage mediate the path to loyalty, offering hospitality leaders a blueprint for designing emotionally intelligent service recovery strategies.

Intelligence Unleashed: How Generative Ai Is Rewriting The Rules Of Tourism Education And Research, Tarik Dogru, Nathana Line, Lydia Hanks, Fulya Acikgoz, Je'anna Abbott, Selim Bakir, Adiyukh Berbekova, Anil Bilgihan, Ali Iskender, Murat Kizildag, Minwood Lee

Rosen Research Review

The research by Dogru, Line, Hanks, Acikgoz, and colleagues explores how generative artificial intelligence (GAI) is transforming higher education and academic research in tourism and hospitality. From personalized learning to automated data analysis, GAI offers unprecedented opportunities— but also raises ethical and legal concerns. The study frames GAI as a disruptive innovation, challenging traditional models of teaching, authorship, and intellectual property. It calls for structural changes in curricula, transparent policies, and collaborative efforts to ensure responsible integration. With tools like ChatGPT already reshaping classrooms and research labs, this paper offers a timely roadmap for educators, researchers, and administrators navigating the …

University Of Central Florida Libraries Impact Report 2024 - 2025, Shawn Perry

Libraries' Documents

No abstract provided.

Pennies In The Bank: Building Background Knowledge, Brooke Lee Webster

Journal of English Learner Education

Abstract

Across the United States, teachers are met with stringent time requirements that may not align with the needs of the students inside the classroom. This paper explores the efforts of condensing and prioritizing in a diverse classroom. Through a reflective narrative of teaching comprehension to emerging bilingual students, this paper presents a structure that leverages morning meetings and discussion as prongs for maximizing the benefit of students within limited instructional minutes. Tasks that build competence, confidence, and connection cycle to foster the environment that students need to thrive. Additionally, this paper investigates the role of building background knowledge in …

Are Testing Accommodations Helping Or Not? A Review Of English Learner (El) Accommodations On Standardized Tests, Cole Forbes

Journal of English Learner Education

This paper examines and critiques English Learner (EL) testing accommodation policies. They have been ineffective at increasing test scores and accessibility. The policies have mandated that EL students participate in high-stakes assessments with accommodations, and sometimes without them. The purpose of the accommodation is to create an even playing field for all test-takers, so that no subgroup is put at a disadvantage, which would compromise their scores and lead to misclassification of students. Laws and Acts such as the Bilingual Education Act of 1968, No Child Left Behind, and the Every Student Succeeds Act have updated and mandated a more …

Differentiated Instruction For Multilingual Learners: A Thematic Analysis Of Research And Practice, Mohsine Bensaid, Jiayuan Jiang

Journal of English Learner Education

Differentiated instruction (DI) is widely promoted as a means of supporting diverse learners, yet its enactment for multilingual learners (MLs) remains uneven and under-theorized in mainstream classrooms. This study examines how DI is conceptualized and implemented to support MLs by attending to learners’ linguistic, cultural, and academic profiles. Using reflexive thematic analysis, this qualitative synthesis examines 20 peer-reviewed empirical studies published between 2010 and 2024 in English-medium K–12 contexts in the United States, with particular attention to elementary settings when specified. Analytic interpretation was supported by practitioner-based reflection functioning as an interpretive lens rather than a separate data source. Four …

A Quasi-Experimental Study On The Effectiveness Of Achieve3000 On The Reading Comprehension Scores Of Ells With Ld, Paula P. Fields

Journal of English Learner Education

The purpose of this quasi-experimental pretest-posttest study was to determine if a significant difference existed in the comprehension scores of secondary English Language Learners with learning disabilities after treatment. The problem addressed is that a significant correlation exists between English language learners and learning-disabled students’ low reading proficiency scores and student achievement, leading to decreased graduation rates. Schema theory served as the theoretical foundation of this research because when the appropriate schema is activated, it helps increase comprehension. The research question guiding this study was: Is there a significant difference between the reading comprehension scores of high school English language …

Reading Comprehension Interventions For Multilingual Learners With Disabilities: A Systematic Review, Sariya Shabnam, Jennifer E. Smith, Samiratu Bashiru

Journal of English Learner Education

Multilingual learners with disabilities (MLWDs) face substantial barriers to reading comprehension given the intersecting challenges of language acquisition and disability (Artzi et al., 2022; Frates et al., 2024). Students with disabilities often need explicit, strategy-based instruction with modeling, guided practice, and scaffolding (Frates et al., 2024; Wawire et al., 2024; Moura, 2024). When learners are also multilingual, interventions must be linguistically accessible and responsive to diverse cognitive profiles (Moura, 2024; Sarisahin, 2020). MLWDs comprise 15.8% of English learners in U.S. public schools (NCES, 2024), yet research on effective comprehension interventions remains limited; most studies treat multilingual learners or students with …

Ai-Powered Pathways To Open Education: Enhancing Practice And Expanding Discovery, Rebecca Mcnulty, Lily Dubach

Faculty Scholarship and Creative Works

Generative AI is changing how we teach and learn, and this session will show practical ways it can support open education. We will look at two everyday challenges: finding aligned open materials and spotting places in a course where open practices could enhance opportunities for collaborative learning. An instructional designer will demonstrate how custom GPTs can review a syllabus and suggest places where open pedagogy could involve students in co-creating and sharing knowledge. A librarian will show how large language models can help locate courses and syllabi that already use open practices, making it easier for faculty to discover and …

Ai-Generated Musical Educational Videos: A Creative Learning Strategy For Any Discipline, Gulfem I. Yucelen

Teaching Repository of AI-Infused Learning

In this activity, students transform course concepts into original songs by writing lyrics, refining them with AI, and generating music and video content. Generative AI tools support the creative process, while students provide oversight to ensure accuracy and clarity. The final product is a musical educational video that deepens understanding and can also be shared with peers or younger learners.

Ai Role-Play Interview Simulation In A Graduate-Level Research Methods Course, Julie Siddique

Teaching Repository of AI-Infused Learning

To enhance qualitative research skills and deepen student engagement, I introduced an AI-driven role-play strategy in a graduate-level research methods course. Students were asked to practice interview skills using an AI bot that responded as a simulated persona, allowing students to practice semi-structured interviewing and navigate ethical considerations in a simulated context.

Ai In Medicine: A Game-Changer In Education And Practice, Katia Ferdowsi

Teaching Repository of AI-Infused Learning

This entry describes the integration of AI-powered platforms such as Osmosis, Khan Academy, and ChatGPT into undergraduate medical education. These tools support student engagement, deepen understanding of complex topics, and prepare learners for a tech-driven medical landscape. By embedding AI into course design, educators can address challenges such as limited clinical exposure, diverse learning needs, and time constraints.

Rethinking The Mindfulness And Mindlessness In Media Evocation Of Human-Machine Communication: A Case Study On The In-Car Robot “Nomi”, Bing Wang, Longxiang Luo, Weizi Liu

Human-Machine Communication

The commonly used Media Equation framework in human-machine communication research exhibits limitations when explaining human-machine relationships in the AI era, giving rise to the Media Evocation paradigm. Based on the Media Evocation framework, this study employs in-depth interviews to investigate whether interactions between humans and the in-car robot Nomi are mindful or mindless, while also examining whether these interactions prompt reflections on the machine’s ontology. The findings indicate that most participants perceive Nomi as a human-like actor and interact with it mindfully. Highquality social cues, such as voice and facial expressions, can trigger mindful anthropomorphic responses in human-machine interaction, eliciting …