Digital Commons Network^™

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.

Reviews That Reveal Return: When Guest Feedback Becomes A Predictor Of Future Visits, Jeong-Yeol Park, Wookjae Heo, Jongwon Lee, Shinyong Jung

Rosen Research Review

The research by Park, Heo, Lee, and Jung reveals how online hotel reviews do more than express opinions—they predict whether guests will return. By blending the Theory of Planned Behavior with machine learning, the study uncovers how attitudes, social influence, and perceived control embedded in review language shape actual revisit behavior. This innovative approach transforms unstructured text into actionable insights, offering hospitality professionals a powerful new lens on customer loyalty.

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 …

Level Up Your Stay: How Energy-Saving Games Are Changing Green Hotel Loyalty, Aili Wu, Juhee Kang, David J. Kwun, Wei Wei

Rosen Research Review

The research by Wu, Kang, Kwun, and Wei reveals how gamification—specifically achievement-based energy-saving games—can transform hotel guests’ attitudes and behaviors toward sustainability. By integrating achievement-goal theory and the theory of planned behavior, the study shows that when guests feel challenged and motivated, they are more likely to engage in green practices and return to the hotel. Interestingly, perceived control over the game sometimes reduces revisit intentions, suggesting that too much ease can lead to boredom. Guests with prior green hotel experiences respond even more positively to gamified sustainability. This research offers a fresh perspective on how hotels can use game …

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.

Sky-High Expectations: How Drones And Emotions Are Reshaping Food Delivery In Africa, Frank Badu-Baiden, Weisheng Chiu, Eudora Hagan, Victor Anderson Hodibert

Rosen Research Review

The research by Badu-Baiden, Chiu, Hagan, and Hodibert unpacks the emotional, social, and psychological puzzle behind consumer acceptance of drone food delivery in Ghana. Using complexity theory and fsQCA, the study shows multiple adoption paths. Motivation, emotion, perceived risk, and social influence shape intention and willingness to pay. Positive emotions and usefulness drive interest, while privacy concerns and negative feelings hinder it. Trust and cultural context matter deeply.

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.

The Pleasure Principle: Why Enjoyment May Be The Missing Link In Ai Adoption, Arthur Huang, Ahmet Bulent Ozturk, Tingting Zhang, Efren De La Mora Velasco, Adam Haney

Rosen Research Review

The research by Huang, Ozturk, Zhang, de la Mora Velasco, and Haney reveals a compelling insight: enjoyment—not just efficiency—is a key driver of whether guests will continue using AI in hospitality and tourism. By expanding the expectation-confirmation model, the study shows that perceived enjoyment, alongside performance and satisfaction, plays a pivotal role in shaping future use intentions. This shift toward hedonic value reframes how hoteliers and tourism professionals should design and promote AI services. The findings suggest that delight, fun, and emotional resonance are just as important as functionality when it comes to long-term engagement with AI-powered experiences.

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

Libraries' Documents

No abstract provided.

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.

The Scoop, Vol. 12 Issue 12, March 2026, Health Sciences Library

Volume 12

Latest news and updates from the Health Sciences Library in our monthly newsletter for March 2026. Please see page 2 for a text-only version of this issue!

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 …

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 …

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 …

Evaluating Regularized Logistic Regression And K-Nn On Mnist Under Increasing Random Missingness, Daniel Markwei

Data Science and Data Mining

This paper investigates the effect of random missingness on the performance of regularized multinomial logistic regression and the k-nearest neighbors (k-NN) classifier for handwritten digit recognition on the MNIST dataset. In particular, we study L1-regularized (LASSO) logistic regression and L2-regularized (Ridge) logistic regression alongside k-NN. Varying percentages of random missingness were introduced into the original dataset, and each model was evaluated in terms of its classification performance. The results show that random missingness degrades the performance of all three classifiers. Overall, k-NN consistently achieves higher accuracy than both L1- and L2-regularized logistic regression across all missingness levels; however, its performance …

Winter Olympics 2026 Part Iv, Richard C. Crepeau

On Sport and Society

The second week of Olympic competition began with the Pairs and the Women’s Figure Skating Events. In the past, these two events were the most anticipated events in the Winter Olympics. In recent years, the Pairs Event seems to have lost some of its luster, at least for me. It may have been eclipsed by Ice Dancing in the 1984 Winter Olympics in Sarajevo. In their free skate that year, Cristopher Dean and Jayne Torvill ice danced to Ravel’s Bolero and received a perfect score for artistic expression. It was a thing of beauty and took Ice Dancing to a …

Drop-In Discussion: Open Beyond The Textbook, Amanda Groff

Open Ed Live

No abstract provided.

Drop-In Discussion: Open Conversation, Kevin Corcoran

Open Ed Live

No abstract provided.

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 …

Meeting Minutes 02-18-2026, Staff Advisory Council

Staff Advisory Council Meeting Documents

No abstract provided.

Creating A Flipped-Classroom With Universal Instructional Design In A Hybrid Stem Course To Facilitate Active Learning, Lori L. Dunlop-Pyle

Teaching Online Pedagogical Repository

The strategy describes using Universal Instructional Design (UID) principles to create a hybrid STEM course to facilitate active learning exercises in class for a diverse group of learners.

Nanobubbles For Bone-Targeted Drug Delivery: Biodistribution Imaging And Osteoporotic Therapy, Pedram Sotoudehbagha, Tristan Faze, Andres Larraza, Andres Alayon Mata, Mehdi Razavi

Research Data and Datasets

This dataset corresponds to the original data for the manuscript titled Nanobubbles for Bone-Targeted Drug Delivery: Biodistribution Imaging and Osteoporotic Therapy.

Winter Olympics 2026 Part 2, Richard C. Crepeau

On Sport and Society

The first week of competition in the Winter Olympics has ended. Figure Skating is always a big story in week one, but no one could have anticipated just how big it would become, as I discussed previously. There were, of course, many other stories and performances, which revealed both highs and lows, and the occasionally silly.

The Olympics Part I, Richard C. Crepeau

On Sport and Society

Some Olympic events, especially those in which judges play a role, often end in controversy. National bias or style preferences can override technical skills in scoring by some judges. Sometimes none of these come into play, and the performances are at such a high level and differ technically only by an eyelash. In the figure skating dance competition that ended on Wednesday evening in Milan this, in my view, was the case.

Video-Based, Small Group, Synchronous Discussions (Vssd), Jeff Renfrow

Teaching Online Pedagogical Repository

The VSSD is a research-supported online discussion model that can produce significant increases in student perceptions of social presence, learning, and satisfaction as compared to the traditional text-based, asynchronous, whole-group discussion model. In the VSSD, students lead the discussion experience by scheduling a synchronous, remote video meeting with their small group, they engage in the discussion topic for 30 to 45 minutes, then individually record a privte reflection video that is submitted to the instructor for evaluation and feedback.