Digital Commons Network^™

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.

Supporting Lgbtq Youth Through A Cross-Cultural Lens Of Wellbeing, Correna Bartow

UN SDG Open Pedagogy Faculty Fellowship: Renewable Assignments

No abstract provided.

Hypothesis: Ai Changes Everything—Findings From The Elite Lab, Shara W. Gonzalez

Teaching & Learning with AI

This presentation outlines an experimental, faculty-centered approach to integrating AI into teaching and learning at Miami Herbert Business School. Grounded in a strategic goal to deliver personalized, technology-enhanced education by 2029, it presents a framework built on lowering barriers to faculty adoption through targeted entry points, hands-on workshops, pilot programs, and iterative experimentation. The work emphasizes supporting instructors across varying levels of readiness, using data collection (e.g., faculty engagement and survey feedback) to inform continuous improvement. Findings suggest that structured support and experimentation can increase AI integration in course design and better prepare students for AI-influenced professional environments.

From Ai Policy To Assessment Design: Review Of Higher Education Course Syllabi Using The Ai Assessment Scale, Hulya Avci

Teaching & Learning with AI

No abstract provided.

Generative Ai Prompt Engineering As A Tool For Multilingual Learner Writing And Teacher Planning In The K-12 Classroom, Angely C. Suarez Dejesus

Teaching & Learning with AI

This presentation explores the use of generative technologies such as Claude.AI and Chat GPT 5 to enhance writing planning and drafting as a tool for highschoolers, focusing on 10th grade pre-IB English.

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.

Accessible By Design: Leveraging Ai For Inclusive Education, Lauren S. Kehoe, Rebecca Weber

Teaching & Learning with AI

No abstract provided.

Tools As The Lens: An Ai-Resistant Case Critique System That Builds Strategic Thinking, Francesca A. Dunlevy, Michael Houston

Teaching & Learning with AI

No abstract provided.

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 …

Ucf Pegasus Plan - 1st Grade - National Holidays, Ania Calbough, Paola Cedeno, Danielle Linare

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

No abstract provided.

Ucf Pegasus Plan - 2nd Grade - Early Native American Cultures, Kendall Childs, Megan Klein, Tiffany Salkin

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

No abstract provided.

Ucf Pegasus Plan - 1st Grade - Kid Economists In Training, Alyssa Mawyer, Logan May, Jordan Teitelbaum

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

No abstract provided.

Ai As Scaffold To Re-Center Human Reasoning In Student Learning, Rachid Ait Maalem Lahcen

Teaching Online Pedagogical Repository

The increasing availability of generative artificial intelligence (AI) tools has renewed concerns about the role of human reasoning in student learning. Although AI systems can efficiently generate explanations, uncritical reliance on automated outputs risks diminishing students’ engagement with interpretation and justification. This paper presents an instructional strategy that attempts to re-centers human reasoning by positioning AI as a scaffold rather than a substitute for thinking. The strategy emphasizes structured evaluation of AI-generated content through activities such as step-checking with reflection, error analysis, and dual-method verification. These activities are grounded in research‑based principles that have been shown to effectively support student …

Ai-Resilient Assessment Audit, Christopher Longo

Teaching Online Pedagogical Repository

The AI Resilient Assessment Audit is a quality assurance workflow where instructors use Generative AI to stress test their discussion prompts for vulnerabilities to academic dishonesty. Vulnerable prompts are remediated using a Personal Synthesis Protocol. This protocol requires students to anchor concepts to verifiable episodic memories and engage in structured peer review. This approach shifts assessments from simple recall to self-determined learning and fosters deeper student engagement.

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.

Co-Working With Machines: How Service Robots Shape Frontline Employee Experiences And Well-Being, Cynthia Mejia, Hannah A. Crandell, Emily Broker, Mindy Shoss

Rosen Research Review

The research by Mejia, Crandell, Broker, and Shoss reveals the complex realities faced by restaurant workers navigating the rise of service robots. Through in-depth interviews with 42 frontline employees, the study uncovers how robot adoption affects collaboration, productivity, emotional well-being, and perceptions of job security. While robots reduce physical strain and offer entertainment value, they also spark frustration, resentment, and fears of displacement. This research offers hospitality leaders a human-centered roadmap for integrating service robots in ways that support—not replace—the workforce.

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.

Paws And Persuasion: How Dog Influencers Shape Hotel Booking Decisions, Wei Wei, Lu Zhang, Tianyu Ying, Yanyan Zheng

Rosen Research Review

The research by Wei, Zhang, Ying, and Zheng explores how pet influencers—specifically dog influencers on Instagram—impact hotel booking intentions. Through two experiments, the study reveals that message appeal (rational vs. emotional) interacts with audience characteristics like prior experience and perceived attractiveness of the pet influencer. Rational messages are more persuasive for less experienced travelers and when the pet influencer is perceived as less attractive. Emotional messages, while engaging, are less effective in these contexts. This research uncovers the nuanced power of pet influencer marketing and offers practical strategies for hospitality marketers seeking to tap into the booming “cute economy” of …

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 …

When Customers Collide Online: The Hidden Power Of Approval In Digital Service Failures, Wei Wei, Lu Zhang, Bobbie Rathjens, Sean Mcginley

Rosen Research Review

The research by Wei, Zhang, Rathjens, and McGinley reveals a surprising twist in how restaurant customers respond to online interactions after a service failure. When fellow customers chime in—either with support or mockery—their comments can dramatically shape how the original complainant feels, engages, and judges fairness. But the real game-changer? Whether the customer craves approval. Those with low need for approval react strongly to the tone of others’ comments, while high-approval seekers remain emotionally steady. This study uncovers the psychological undercurrents of electronic customerto- customer interaction (eCCI), offering fresh insights into empathy, justice, and digital engagement in hospitality.

Putting Humanity First In Service Robotics: For Me, Robotics Is About Giving Hospitality Teams The Breathing Room To Care More Deeply For People., Manuel Rivera, Cynthia Mejia

Rosen Research Review

In an engaging conversation with Juan Higueros, Co-Founder and COO of Bear Robotics, we explore his vision for human-centered robotics and how technology can empower hospitality teams to deliver deeper, more meaningful guest experiences.

Boarding By Biometrics: How Smart Technology Is Reshaping Passenger Experience, Xiaoting Chi, Frank Badu-Baiden, Seongseop (Sam) Kim, Junwei Cao, Elena-Nicoleta Untaru, Heekyoung Jung, Heesup Han

Rosen Research Review

The research by Chi, Badu-Baiden, Kim, Cao, Untaru, Jung, and Han explores how biometric boarding transforms airline travel. Using technology acceptance, agenda setting, and behavioral reasoning theories, the study reveals how ease of use, usefulness, media exposure, and attitudes shape adoption. Findings stress convenience, engagement, and targeted communication, with age and gender influencing responses. For airport managers and designers, the research offers practical strategies for secure, efficient, and passenger-centered boarding systems.

Rethinking Textbook Reading Checks: Designing Reflective Assignments With Ai, Sue A. Bauer, Ezekiel Walker Dr.

Teaching Online Pedagogical Repository

This strategy uses AI as a planning partner to help instructors design reading-based assignments that move beyond traditional quizzes by emphasizing analysis, interpretation, and reflection on textbook chapters. By providing AI with key themes and learning objectives, instructors can quickly generate structured prompts and rubrics that assess insight, use of evidence, and clarity of reasoning. The approach encourages deeper student engagement with readings while allowing instructors to customize and maintain oversight of the assignment and evaluation process.

Supporting English Language Learners: A Comprehensive Guide For Long-Term Success, Yana Shifrina-Piljovin

Journal of English Learner Education

Abstract

This literature review provides a thorough examination of the various multifaceted challenges encountered by Long-Term English Language Learners (LTELLs) in educational settings. It critically analyzes the effectiveness of current support systems and instructional strategies, synthesizes relevant recent research findings, and offers targeted recommendations aimed for educators and policymakers striving to improve educational outcomes for LTELLs. The review evaluates the efficacy of existing support frameworks and teaching methodologies, synthesizes contemporary research findings, and presents actionable recommendations for educators and legislators to enhance the learning outcomes of these students.

Supporting English Language Learners LTELLs) in classroom settings requires a deep understanding …

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 …