Digital Commons Network^™

Disaster Exercise: Evaluating Mci Triage Training, Michael J. Steflovich Jr, Jodie Stobierski, Alexis Davis, Natasha Pavlinetz, Nela Isic, Nicole Roberson, Earl Best Md

Florida Journal of Emergency Medicine (FJEM)

Abstract

Study Objectives

The primary objective of this study was to evaluate the effectiveness of a didactic lecture-based training on mass casualty incident (MCI) triage performance among first- and second-year medical students. Specifically, the study aimed to measure improvements in overall triage accuracy, as well as reductions in over-triage and under-triage rates for both adult and pediatric patients.

Methods

This study employed a pre-test/post-test design involving 31 participants. Participants completed an electronic pre-test consisting of 30 patient scenarios (20 adult and 10 pediatric) before attending a 40-minute didactic lecture on MCI triage principles. The lecture covered the identification of MCI …

Structured Ai Conversations On Ethical Reasoning In Introductory Psychology, Brianna Mccartney

Teaching Repository of AI-Infused Learning

This strategy integrated structured AI conversations using Perplexity into an introductory psychology course to strengthen students’ ethical reasoning. Guided prompts led students through analyzing historical unethical studies, applying APA and Belmont principles, and proposing ethical redesigns while receiving immediate feedback. The activity concluded with a final paper and AI acknowledgment, fostering both deeper ethical understanding and responsible use of AI in academic work.

Baudelaire And Manet Remake, Barry J. Mauer

Teaching Repository of AI-Infused Learning

Use AI to remake either a painting from Manet or a poem from Baudelaire (or both!) in any medium: experimental writing, video, poster, song, etc.; the creativity is in your prompt. In addition, write an essay of 4-5 pages explaining and justifying your remake, describing the process and interpreting the results.

Artificial Intelligence's Role In Displaying Ethnic Stereotypes, Stephanie A. Longo

Teaching Repository of AI-Infused Learning

This lesson was used in my Intercultural Communication class as a way to introduce students to artificial intelligence’s nuances when it comes to treating and discussing other nationalities. Students were given the opportunity to ask Copilot to generate an image of a typical person from a country they are familiar with. These images were then discussed in class.

Beat Chatgpt: Cultivating Critical Ai Literacy Through Student-Created Problems, Sybil Prince Nelson

Teaching Repository of AI-Infused Learning

Beat ChatGPT is a gamified assignment that positions AI as both a rival and a resource to foster critical AI literacy. Students either design statistics problems that ChatGPT is likely to answer incorrectly or critique flawed AI-generated solutions, then provide accurate responses and reflections. This strategy not only deepens disciplinary understanding but also equips students to engage with AI tools thoughtfully, ethically, and creatively.

From Concept To Community: Building And Sustaining Communication Research Labs, America L. Edwards, Matthew J. A. Craig, Hannah E. Jones, Chad Edwards, Autumn P. Edwards

Journal of the Association for Communication Administration

This essay explores the conceptual, practical, and relational foundations of building and sustaining communication research labs. Drawing on early models of research teams, we argue that contemporary labs function as living systems that integrate research, teaching, mentorship, and community engagement. The essay outlines practical considerations for creating and maintaining labs, including recruitment, infrastructure, leadership succession, and digital presence, while emphasizing the importance of flexibility and autonomy. Rather than viewing labs as static organizational units, we position them as relational ecosystems that evolve through connection, shared purpose, and adaptability across time and institutions. Ultimately, this work encourages scholars to view lab-building …

Complete Volume 42

Journal of the Association for Communication Administration

This is the complete Volume 42 of the Journal of the Association for Communication Administration.

Force And Fallout: Experimental Evidence From A National Test Of The Community Expectations Standard, Christopher J. Marier, Conor Goodwin

Faculty Scholarship and Creative Works

A persistent ``reasonableness divide'' exists between the legal standards governing police use of force and the public’s expectations, producing ``lawful but awful'' uses of force. This study empirically tests the ``Community Expectations Standard'' (CES), a model that identifies five criteria the public uses to evaluate force: underlying governmental interest, avoidability, officer motivation, subject resistance, and the presence of a ``highly dangerous'' environment. Using a factorial survey experiment with a national sample of nearly 2,000 U.S. adults, we analyzed responses to a hypothetical vignette depicting non-lethal force using t-tests and Bayesian linear regression models. The results show that underlying governmental interest …

What Fuels The Badge: College Students’ Beliefs On What Motivates Officers, Riya N. Patel

The Pegasus Review: UCF Undergraduate Research Journal

Today, a large, increasing gap in trust exists between law enforcement officers and civilians. Although law enforcement officers may possess a “rescue personality” (e.g., being a highly dedicated risk-taker with a desire to help), they are feared by some civilians (Salters-Pedneault et al., 2010; Wynveen et al., 2007). Still, many officers choose more positive motivators for pursuing their career, including factors such as job security, benefits, and the desire to help others (Schuck, 2020). To better understand this, this study surveyed 198 undergraduate students at the University of Central Florida who completed a survey measuring their perceptions of the motivators …

Breathing In Two Languages: Inclusive Sel For Multilingual Learners, Mylia Briggs, Monica Gonzalez Smith

Journal of English Learner Education

As multilingual learners (MLs) represent the fastest-growing student demographic in U.S. public schools, educators face increasing pressure to support these students’ academic and socio-emotional needs. Traditional social-emotional learning (SEL) frameworks often align with Eurocentric norms and overlook the cultural and linguistic assets of MLs. This action research self-study investigates a third-grade teacher’s implementation of culturally responsive, equity-oriented SEL (CRSEL) practices in an urban public school in Hawai‘i. Through adapted SEL lessons centered on gratitude, students engaged in activities that integrated home languages, cultural traditions, and identity-affirming practices. Findings reveal three key themes: self-awareness as validating and emancipatory, social awareness as …

Effectiveness Of Pre-Service Teachers’ Service Learning With English Language Learners Via Zoom, Donita Grissom, Padideh Fattahi Marnani, Sophie Cuocci, Irina Mclaughlin

Journal of English Learner Education

This study investigates service-learning experiences for university students in a teacher certification program, explored through the lens of sociocultural theory. Data was collected from pre-service teachers (PST) involved in service learning conducted virtually using Zoom with Vietnamese pre-service teachers. Data was in the form of surveys, which included short reflections and yes/no responses. Findings show that the service-learning program allowed PST to have the opportunity to apply the strategies learned in their coursework with ELs and increased their sense of preparation as a result. Pre-service teachers reported the service-learning communities of practice to be beneficial for their ELs. Implications highlight …

Transdisciplinarity Through A Functional Approach In The Content Areas: Commonalities For School Teachers, Karen L. Terrell, Luciana C. De Oliveira, Jia Gui

Journal of English Learner Education

In 2020, the WIDA Consortium released a revised English language development standards framework that integrates a functional approach to language development, grounded in systemic functional linguistics, across core subjects: English Language Arts, Mathematics, Science, and Social Studies. Central to this framework are four Key Language Uses—Narrate, Inform, Explain, and Argue. While this holistic approach is promising, it poses challenges for elementary and middle-grade teachers and ESOL specialists, who often teach multiple subjects. To ensure all teachers can implement this approach effectively, the integration of functional language must be simplified for generalist instructors. This article explores how identifying linguistic commonalities across …

The Key To Acquiring The Language Of Law, Science, And Technology In The Esl College Classroom, Patricia George-Hunter

Journal of English Learner Education

Since vocabulary plays a significant role in second language acquisition, expansive vocabulary targets should be set and pursued. This paper explores the results of introducing affixes to develop vocabulary and increase motivation for beginner to intermediate-level English language learners (ELLs) pursuing academic disciplines in law, science, and technology at a New York City community college. Participants included 23 ELLs with diverse linguistic, educational, and sociocultural backgrounds enrolled in an online synchronous Integrative Language Seminar (ILS) designed to develop all areas of English language proficiency. Pre‑, post‑, delayed tests, questionnaires, and post‑intervention interviews were conducted and analyzed to establish the language …

The Benefit Of Qualified English Language Teachers In Non-English-Speaking Countries, Tina M. Allen-Abulhassan

Journal of English Learner Education

Abstract

This study explores the impact of qualified English language teachers on English Language Learners (ELLs) in their home countries, assessing how English language instruction can enhance their preparedness for higher education in Western universities. The need for effective English language education is underscored by the scarcity of qualified ESL instructors, which leaves L2 learning ill-equipped for academic success. Utilizing Vygotsky’s social development theory, particularly the Zone of Proximal Development, this research examines the role of social interactions with qualified native speakers in fostering language proficiency and academic achievement. The literature review highlights significant barriers ELLs face, including inadequate teaching …

Human-Machine Communication: Complete Volume. Volume 11

Human-Machine Communication

This is the complete volume of HMC Volume 11.

Machine Credibility: How News Readers Evaluate Ai-Generated Content, Alexander Wasdahl

Human-Machine Communication

The advent of AI-generated news as a novel form of content demands renewed attention toward modes of understanding reader perceptions. This research sought to answer: What are the evaluative criteria used by readers in their perception of automated news content generated via natural language processing? A series of exploratory factor analyses (EFA) was conducted on results of a survey using items obtained in an initial survey phase to uncover underlying factors contributing to differences in reader article rankings. When compared with the results of factor analyses for human-generated news content, the findings offer new constellations of terms that reflect the …

Disentangling (Hybrid) Trustworthiness Of Communicative Generative Ai As Intermediary For Science-Related Information—Results From A Qualitative Interview Study, Evelyn Jonas, Esther Greussing, Monika Taddicken

Human-Machine Communication

The increasing prevalence of communicative Generative AI, such as ChatGPT, highlights their transformative potential for science communication while raising critical questions about users’ trust in these systems conveying science-related information. As perceptual hybrids these agents challenge traditional notions of trustworthiness, and it remains unclear to whom or what users refer to as the object of trust. This qualitative interview study integrates dimensions from human-machine and epistemic trustworthiness within a hybrid framework, complemented by a descriptive source orientation model. It highlights that trustworthiness assessments can extend beyond a chatbot’s interface, emphasizing the perceived salience of its underlying infrastructure, developers, and organizations. …

Generative Artificial Intelligence And Collaboration: Exploring Religious Human-Machine Communication And Tensions In Leadership Practices, Pauline Hope Cheong, Liming Liu

Human-Machine Communication

The adoption of generative artificial intelligence (GAI) applications has bolstered efforts toward human-machine collaboration. Given the lag in research on AI and religion, this study examines how pastors engage GAI to develop religious human-machine communication practices that constitute their leadership. Findings from in-depth interviews with pastors in the U.S. reveal that they view GAI as an idea generator, research assistant, co-author and translator. Clergy enact multiple ways to incorporate GAI communication in religious education and to enhance sermonic performances. Concurrently, pastors perceive tensions between innovation and established rites, as they contend with the authenticity and spiritual depth of GAI content …

Tools Or Teammates? Examining Agency Negotiation In Human-Genai Collaboration In Creative Work, Yuan Sun, Ignacio Fernandez Cruz, Donggyu Kim

Human-Machine Communication

As Generative AI (GenAI) becomes increasingly integrated into creative work, creative professionals face an emerging dilemma: while they can leverage powerful AI capabilities through prompts, the automated process also introduces uncertainties and risks. This study, based on semi-structured interviews with 18 creative professionals, explores their experiences and perceptions of using GenAI tools in creative work. The findings revealed that GenAI’s perceived adaptability, creativity, and scalability enhanced sense of agency in the creative process. Conversely, limitations in customizability, uncertainty, and feedback mechanisms undermined human agency. These perceptions were influenced by users’ conceptualization of GenAI—as either a simple tool or a collaborative …

Investigating The Persuasive Potential Of Communicating With Generative Artificial Intelligence Chatbots For Mental Health: The Roles Of Perceived Message Contingency, Cognitive Elaboration, And Issue Involvement, Hanyoung Kim, Yanyun (Mia) Wang

Human-Machine Communication

With the ever-increasing adoption of generative artificial intelligence (GenAI) chatbots in diverse communication roles, there is a burgeoning need to address how people process and respond to messages from these technologies. This study explores the theoretical mechanisms by which the use of GenAI chatbots influences persuasive outcomes related to mental health, examining perceived message contingency and cognitive elaboration as mediators, and issue involvement as a moderator between the two mediators. Through an experimental setting using ChatGPT, compared to non-conversational online resources, we discovered that GenAI chatbot use led to greater cognitive elaboration through an increased sense of message contingency, leading …

Generative Ai In Higher Education: A Comparative Study Of Chatgpt Adoption, Perception, And Use Among College Students In The Global North And Global South, Shudipta Sharma, Louisa Ha

Human-Machine Communication

Generative AI tools like ChatGPT have become the fastest-adopted technology, raising concerns about its misuse in education. This study explores ChatGPT usage for class assignments among 646 college students in the U.S. and Bangladesh, focusing on their perceptions and trust in the tool. Using the technology acceptance model, along with internet efficacy and social persuasion theories, we found that students in both countries had high levels of awareness and adoption. Individual factors did not significantly influence ChatGPT usage, while social persuasion, perceived usefulness, perceived ease of use, and country were the strongest predictors. The findings suggest that AI technology may …

Making Sense Of The Role Of Chatgpt In Education: An Examination Of Student Views In China, Italy, Kenya, Uruguay, And The U.S., Leopoldina Fortunati, Autumn P. Edwards, Weiming Ye, Anna Maria Manganelli, Chad Edwards, Soledad Caballero, Lusike Mukhongo, Giovanni Ferrin

Human-Machine Communication

This article investigates the diffusion and adoption of ChatGPT among college students from a multinational convenience sample, informed by the scholarly literature on the diffusion and progressive appropriation of ChatGPT by students and teachers within the education sector and the strategies adopted by academic institutions. We applied a figurational approach to this study, offering two theses that try to understand the societal meaning of ChatGPT diffusion in the educational sector. Operationally, we explored university students’ behavioral intentions, practices of use, and opinions toward ChatGPT in five countries (China, Italy, Kenya, Uruguay, and the United States of America) through an online …

“Made Classes Easier Than A Coloring Sheet”: Student Perceptions And Uses Of Genai, Jessalyn I. Vallade, Renee Kaufmann, Trenton Upchurch

Human-Machine Communication

Student use of GenAI is growing and so are the faculty concerns. With research providing mixed suggestions and approaches, this study sought to understand the student perspective on ethical uses, their own motives and perceived benefits of GenAI use, the risks involved, and their perceptions of susceptibility and severity related to unethical use (i.e., plagiarism/cheating). Results revealed the complexity of student considerations regarding the uses, risks, and benefits of GenAI and its potential for personalized learning enhancement. Students generally view the likelihood of being caught submitting AI-generated work as their own as high and the consequences as severe. The viability …

Use Matters: How Different Ways Of Using Chatgpt Drive Ai Acceptance And Solutionism, Florian Golo Flaßhoff, Fabian Anicker, Frank Marcinkowski

Human-Machine Communication

Artificial intelligence is central to solutionism—the vision of a world where all major problems are solved through technology. This study theorizes about how human–AI communication shapes attitudes toward AI and influences the formation of public opinion, sparking solutionist imaginaries. We empirically examine the attitude formation resulting from the non-simulated use of an unmanipulated conversational model in a controlled laboratory experiment. Using a between-subjects design, participants engaged in three semi-structured 20-minute sessions with ChatGPT, providing a novel perspective on the effects of its use. The findings reveal that mere use of ChatGPT causally increases AI acceptance; however, its impact significantly depends …

The Relationship Between Evening Screen Time Use And Objectively Measured Sleep Outcomes In Us College Students, Donya Sedaghat

The Pegasus Review: UCF Undergraduate Research Journal

High amounts of nightly screen time have been thought to negatively affect sleep outcomes (sleep duration, quality, and latency). There is a lack of evidence exploring if this pattern exists in U.S. college students. The purpose of this study is to investigate the relationship between evening screen time use and objectively measured sleep outcomes in U.S. college students. College students (N = 29) junior or senior standing in a Health Sciences major were recruited to participate in this cross-sectional study. Participants wore accelerometers on their non-dominant wrist for 24hr/day for 7 days to capture sleep (duration, efficiency, awakenings, timing). Participants …

Creepy, Invasive, And Exploitative Algorithms: A Cpm Analysis Of Users' Privacy Breakdowns And Recalibration Practices With Social Media Algorithms, Matthew J. A. Craig, Jeffrey T. Child

Human-Machine Communication

Social media content filtering algorithms can both provide desired personalized content and ads for users. However, sometimes these recommendations can resemble individual private information. How might users navigate these experiences to best manage their private information? The present exploratory study utilizes the rules- and systems-based framework of communication privacy management (CPM) theory to explore social media users’ experiences of privacy breakdowns with social media algorithms and investigates what users do in response to said breakdowns. These responses were refined using content analysis and divided into different categories of privacy breakdowns and recalibration strategies. Implications for future research surrounding human-machine communication …

Human-Machine Communication: Complete Volume. Volume 10

Human-Machine Communication

This is the complete volume of HMC Volume 10.

Development And Validation Of The Attitudes Toward Algorithms Scale: A Universal Scale To Measure Individuals Attitudes Toward Algorithmic Decision-Making, Nikolai Bock, Astrid M. Rosenthal-Von Der Pütten

Human-Machine Communication

Algorithmic decision-making (ADM) has become increasingly important across various fields, ranging from personal entertainment to criminal justice. While existing research has predominantly explored evaluative outcomes like individuals’ perceptions and interactions with these systems, there remains a significant gap in understanding the underlying mechanisms that lead to these outcomes. Building on traditional behavioral intention theories, we identified attitudes toward algorithms and ADM as crucial determinants. In response to the lack of an appropriate measure for this construct, we developed and validated the Attitudes Toward Algorithmic Decision-Making Scale (ATAS), a novel instrument designed to assess core beliefs that drive attitude formation toward …

College Students’ Perceptions Of Artificial Intelligence (Ai) Risks And Benefits In Pakistan, Rauf Arif, Muhammad Ittefaq, Lamia Zia

Human-Machine Communication

With the rapid advancements in technology over the past 2 decades, it has become crucial to understand people’s attitudes toward artificial intelligence (AI) adoption and its associated risks. Given the increasing access to the AI technologies, it is imperative to examine how young people in non-Western societies like Pakistan perceive AI risks and benefits. We conducted an online survey of college students who had used AI technology in the past 6 months. The results of our study indicate that the majority of college students view AI technology positively and perceive it as an opportunity to enhance workplace productivity. In addition, …

Casa Renovations: Examining Social Responses To An Anthropomorphic Media Representative That Is Separate From The Core Technology Being Represented, Rabindra Ratan, Dayeoun Jang, Taenyun Kim, Kelsey Earle, Gabriel E. Hales, Yiming Skylar Lei, Chaeyun Lim, Andrew Gambino

Human-Machine Communication

To extend our understanding of CASA and account for changes in technological complexity and configuration, this research asks: Do increasing levels of social cues in a media representative that is separate from the core technology it represents lead to increased perceived anthropomorphism of the core technology? And does such perceived anthropomorphism predict positive treatment of the core technology? We conducted two complementary studies observing e-scooter use and treatment, an online experiment focused on responses to video stimuli and a field experiment focused on actual user behavior. Findings suggest that, indeed, social cues in a media representative (i.e., an e-scooter rental …