Digital Commons Network^™

Bridging Words And Worlds: Innovative Writing Strategies For Adolescent Multilingual Learners, Robert A. Griffin

Journal of English Learner Education

This paper presents culturally responsive writing prompts, peer collaboration and language exchange, and multimodal writing experiences as three strategies to enhance adolescent multilingual learners’ English writing skills while leveraging their linguistic and cultural diversity. Culturally responsive writing prompts connect students’ personal experiences with academic tasks to enhance engagement and authenticity in writing. Peer collaboration, language exchange, and peer review foster a supportive learning community and improve writing skills through shared linguistic and cultural knowledge. Multimodal writing experiences broaden students’ expressive capabilities beyond traditional text by utilizing visual, digital, and oral modes of communication. Technology and AI integration in writing instruction …

Empowering English-Language Learners Through Acting, Translanguaging, And Collaborative Devising, Natasha L. Yannacanedo

Journal of English Learner Education

The author explores the transformative potential of using acting, translanguaging, and collaborative devising as tools for linguistic and personal development among English Language Learners (ELLs). Through a reflective narrative of teaching Acting I to ELL students, the paper delves into the challenges and successes encountered in integrating acting, translanguaging, and devising into the curriculum. Emphasizing the symbiotic relationship between acting and language learning, the author discusses how expressive language development, vocabulary acquisition, and enhanced pronunciation skills were cultivated. Additionally, the paper considers the role of translanguaging in creating a supportive and inclusive learning environment, where students' linguistic diversity is celebrated …

Teaching English Language Learners: Exploring The Instructional Modifications Mainstream Teachers Use, Nilufer Guler

Journal of English Learner Education

The number of language learners (ELLs) is increasing rapidly at U.S. schools. Mainstream teachers have an important role in the academic success of these students because ELLs spend most of their school time in mainstream classes and are pulled out a few hours in a school day for ELL services. This research aims to uncover the educational experiences of ELLs in mainstream classes. Using statewide systematic initiative and qualities of linguistically responsive teachers as theoretical frameworks, I collected survey data from 129 teachers and interviewed 15 teachers. The results have shown that teachers tend to translate language for their students …

Teacher Candidates’ Service-Learning With English Learners, Hsiaoping Wu

Journal of English Learner Education

This study explores the impact of a service-learning project with English Learners (ELs) on the instructional, conceptual, and emotional development of teacher candidates. Participants are pre-service teachers who work with ELs enrolled in elementary schools in Texas through a partnership with the Community in Schools (CIS) organization. The participants’ reflective journals provided qualitative evidence of the field experience and the students’ in-class discussions and projects. A qualitative analysis indicated four themes related to instruction techniques and emotional development from these field experiences: (1) the modified strategies can facilitate students’ comprehension, (2) the domains of languages, (3) increased confidence and empathy, …

Cooperating Teachers’ Views And Practices About Teaching Emergent Bilinguals In General Education Classrooms, Tunde Szecsi, Janka Szilagyi

Journal of English Learner Education

Cooperating teachers’ pedagogical beliefs and practices influence teacher candidates’ views and practices. Therefore, this study examined mainstream cooperating teachers’ perceptions about critical components of effective instruction for English learners, and the relationship between these teachers’ perceptions and classroom practices. We interviewed 55 teachers and completed a 90-minute observation in each classroom. We analyzed the interviews for common themes, and we used descriptive statistics to summarize the observation data. The findings indicated that teachers were well-versed in evidence-based instructional activities and strategies. However, many teachers found it challenging to infuse ELs’ language, culture and experiential background into their instruction.

Addressing Language And Content In Civics Through A Language-Based Approach To Content Instruction For Multilingual Learners, Jia Gui, Luciana C. De Oliveira

Journal of English Learner Education

This study explores the integration of a language-based approach to content instruction’s (LACI) six Cs of support into an existing civics lesson plan to improve content and language learning for multilingual learners. We used the Civics for All curriculum from the New York City Department of Education to identify lesson plans that could be enhanced for teaching multilingual learners. The findings of integrating the LACI framework indicated that the existing lesson plans could be enhanced by adding all the Cs to ensure full support for multilingual learners. We conclude with strategies for integrating the LACI framework into existing civics lesson …

Human-Machine Communication: Complete Volume. Volume 8

Human-Machine Communication

This is the complete volume of HMC Volume 8.

What Hmc Teaches Us About Authenticity, Katrin Etzrodt, Jihyun Kim, Margot Van Der Goot, Andrew Prahl, Mina Choi, Matthew Craig, Marco Dehnert, Sven Engesser, Katharina Frehmann, Luis A. Grande, Jindong Liu, Diyi Liu, Sandra Mooshammer, Nathan Rambukkana, Ayanda Rogge, Pieta Sikström, Rachel Son, Nan J. Wilkenfeld, Kun Xu, Renwen Zhang, Ying Zhu, Chad Edwards

Human-Machine Communication

This paper delves into what the application of authenticity to Human-Machine Communication (HMC) can teach us about authenticity and us as HMC researchers and as a com- munity. Inspired by the 2023 pre-conference “HMC: Authenticity in communicating with machines,” two central questions guide the discussion: How does HMC contribute to our understanding of authentic communication with machines? And how can the concept of authenticity contribute to our sense of self as researchers within the HMC field? Through the collaborative effort of 22 authors, the paper explores the re-conceptualization of authenticity and presents recent areas of tension that guide the HMC …

Authentic Impediments: The Influence Of Identity Threat, Cultivated Perceptions, And Personality On Robophobia, Kate K. Mays

Human-Machine Communication

Considering possible impediments to authentic interactions with machines, this study explores contributors to robophobia from the potential dual influence of technological features and individual traits. Through a 2 x 2 x 3 online experiment, a robot’s physical human-likeness, gender, and status were manipulated and individual differences in robot beliefs and personality traits were measured. The effects of robot traits on phobia were non-significant. Overall, subjective beliefs about what robots are, cultivated by media portrayals, whether they threaten human identity, are moral, and have agency were the strongest predictors of robophobia. Those with higher internal locus of control and neuroticism, and …

What’S In A Name And/Or A Frame? Ontological Framing And Naming Of Social Actors And Social Responses, David Westerman, Michael Vosburg, Xinyue Liu, Patric R. Spence

Human-Machine Communication

Artificial intelligence (AI) is fundamentally a communication field. Thus, the study of how AI interacts with us is likely to be heavily driven by communication. The current study examined two things that may impact people’s perceptions of socialness of a social actor: one nonverbal (ontological frame) and one verbal (providing a name) with a 2 (human vs. robot) x 2 (named or not) experiment. Participants saw one of four videos of a study “host” crossing these conditions and responded to various perceptual measures about the socialness and task ability of that host. Overall, data were consistent with hypotheses that whether …

In Seal We Trust? Investigating The Effect Of Certifications On Perceived Trustworthiness Of Ai Systems, Magdalena Wischnewski, Nicole Krämer, Christian Janiesch, Emmanuel Müller, Theodor Schnitzler, Carina Newen

Human-Machine Communication

Trust certification through so-called trust seals is a common strategy to help users ascertain the trustworthiness of a system. In this study, we examined trust seals for AI systems from two perspectives: (1) In a pre-registered online study participants, we asked whether trust seals can increase user trust in AI systems, and (2) qualitatively, we investigated what participants expect from such AI seals of trust. Our results indicate mixed support for the use of AI seals. While trust seals generally did not affect the participants’ trust, their trust in the AI system increased if they trusted the seal-issuing institution. Moreover, …

Doctor Who?: Norms, Care, And Autonomy In The Attitudes Of Medical Students Towards Ai Pre And Post Chatgpt, Andrew Prahl, Kevin Tong Weng Jin

Human-Machine Communication

This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, and beliefs about human and machine autonomy. Semi-structured interviews were conducted. Wave one occurred six-months prior to the public release of ChatGPT; wave two occurred in the 6 months following. Three themes emerged: AI is tomorrow, wishing for the AI ouvrier, and human contrasts. Two differences were noted pre- versus post-ChatGPT: (1) participants began to view machinery instead of themselves as the …

External And Internal Attribution In Human-Agent Interaction: Insights From Neuroscience And Virtual Reality, Nina Lauharatanahirun, Andrea Won, Angel Hsing-Chi Hwang

Human-Machine Communication

Agents are designed in the image of humans, both internally and externally. The internal systems of agents imitate the human brain, both at the levels of hardware (i.e., neuromorphic computing) and software (i.e., neural networks). Furthermore, the external appearance and behaviors of agents are designed by people and based on human data. Sometimes, these humanlike qualities of agents are purposely selected to increase their social influence over human users, and sometimes the human factors that influence perceptions of agents are hidden. Inspired by Blascovich’s “threshold of social influence’, a model designed to explain the effects of different methods of anthropomorphizing …

The Impact Of Human-Ai Relationship Perception On Voice Shopping Intentions, Marisa Tschopp, Kai Sassenberg

Human-Machine Communication

In the emerging field of voice shopping with quasi-sales agents like Amazon's Alexa, we investigated the influence of perceived human-AI relationships (i.e., authority ranking, market pricing, peer bonding) on (voice-)shopping intentions. In our cross-sectional survey among experienced voice shoppers, we tested hypotheses specifically differentiating voice shopping for low- and high-involvement products. The results emphasized the importance of socio-emotional elements (i.e., peer bonding) for voice shopping for high-involvement products. While calculative decision-making (i.e., market pricing) was less relevant, the master-servant relationship perception (i.e., authority ranking) was important in low-involvement shopping. An exploratory analysis of users’ desired benefits of voice shopping reinforces …

Chatbot Vs. Human: The Impact Of Responsive Conversational Features On Users’ Responses To Chat Advisors, Stefanie H. Klein, Sonja Utz

Human-Machine Communication

As educational organizations increasingly consider supporting or replacing human chat advisors with chatbots, it is crucial to examine if users perceive a chatbot differently from a human. Chatbots’ conversational features may signal responsiveness and thus improve user responses. To explore this, we conducted three online experiments using a study advising setting. We computed pooled data analyses because the individual study results did not provide clear support for our hypotheses. Results indicate that users prefer human agents regarding competence and intention to use but not perceived enjoyment. Responsiveness increased likability, warmth, and satisfaction. Perceptions of the interaction mediated the responsiveness effects. …

Communication Style Adaptation In Human-Computer Interaction: An Empirical Study On The Effects Of A Voice Assistant’S Politeness And Machine-Likeness On People’S Communication Behavior During And After The Interacting, Aike C. Horstmann, Clara Strathmann, Lea Lambrich, Nicole Krämer

Human-Machine Communication

Humans adapt their communication style when interacting with one another. With interactive technologies such as voice assistants taking over the role of an interaction partner, the question arises whether and to what extent humans also adapt to their communication style. The adaptation could have a grounding function, ensuring efficient communication with the current interaction partner, or be based on priming which could endure and influence subsequent interactions. In a pre-registered experimental lab study, 133 participants interacted with a voice assistant whose communication style varied regarding politeness (polite vs. non-polite) and machine-likeness (machine-like vs. natural). Participants’ verbal behavior during and in …

Feminist Cybernetic, Critical Race, Postcolonial, And Crip Propositions For The Theoretical Future Of Human-Machine Communication, Paula M. Gardner, Jess Rauchberg

Human-Machine Communication

The authors review theoretical trends in HMC research, as well as recent critical interventions in the HMC journal that usefully reshape and expand our research terrain. Conventional research such as positivist and quantified approaches are identified as restraining research questions and delimiting understandings of concepts including subjects, agency and interactivity. Feminist cybernetic, critical race, postcolonial and crip theoretical approaches are offered, examining how they fill research gaps in HMC, expanding content areas explored, and addressing diverse intersectional pressures, situated, and time/space dynamics that impact human machine interaction. The authors suggest these shifts are essential to expanding HMC research to address …

Machine Ex Machina: A Framework Decentering The Human In Ai Design Praxis, Cait Lackey, Zizi Papacharissi

Human-Machine Communication

Artificial intelligence (AI) design typically incorporates intelligence in a manner that is affirmatory of the superiority of human forms of intelligence. In this paper, we draw from relevant research and theory to propose a social-ecological design praxis of machine inclusivity that rejects the presumption of primacy afforded to human-centered AI. We provide new perspectives for how human-machine communication (HMC) scholarship can be synergistically combined with modern neuroscience’s integrated information theory (IIT) of consciousness. We propose an integrated theoretical framework with five design practice recommendations to guide how we might think about responsible and conscious AI environments of the future: symbiotic …

Sidney Feshbach, Alison Armstrong

James Joyce Literary Supplement

No abstract provided.

James, Giorgio, And Georges, Koen Peeters

James Joyce Literary Supplement

No abstract provided.

Short Stories, Rishona Zimring

James Joyce Literary Supplement

No abstract provided.

This Seamus, Too, Is Famous, Cyraina Johnson-Roullier

James Joyce Literary Supplement

No abstract provided.

Empowering Library Employees: The Impact Of Ai Engagement Through An Interest Group, Lily Dubach, Rachel Vacek

Faculty Scholarship and Creative Works

Learn how one academic library is taking a transformational approach to exploring the possibilities with artificial intelligence (AI) through the creation of an AI Interest Group. With AI rapidly reshaping the library profession and higher education, our AI Interest Group aims to equip all library employees with the knowledge, skills, confidence, and mindset to embrace AI responsibly and consider leveraging its potential in their library work.

Since October 2023, the AI Interest Group has served as an inclusive forum that has brought together colleagues from roles across all library departments and with varying levels of familiarity with AI. Topics have …

Cte Teacher Recruitment, Training, And Retention Toolkit: A Nationwide Search 2024, Lisa Martino, Sara Shaw

Faculty Scholarship and Creative Works

This updated toolkit is a collaborative effort of ECMC Foundations research fellows from the University of Central Florida as well as U.S. academic experts with experience in postsecondary and secondary CTE teacher recruitment, training, and retention. The purpose is to create a digital toolkit of practical and proven strategies for the hiring and retention of quality postsecondary CTE teachers. This toolkit contains similar information from seven U.S. states and two U.S. territories regarding their CTE teacher policies and practices including lessons learned and best practices. By comparing similar information in a digital toolkit, CTE leaders and stakeholders have easily accessible …

Press Release - New Director Of Marketing Communications, Shawn Perry, University Libraries

Libraries' Documents

No abstract provided.

Policy For Ucf Libraries Monthly Focus Days, Library Human Resources

Libraries' Documents

No abstract provided.

Cyberbullying Detection On Twitter Data Using Machine Learning Classifiers, Pradip Dhakal

Data Science and Data Mining

This study compares some of the popular machine learning techniques like Logistic Regression, Multinomial Naive Bayes, K-Nearest Neighbor, and Extreme Gradient Boosting to classify the tweets into three different categories: cyberbullying based on religion, cyberbullying based on ethnicity, or no cyberbullying. First, various data-cleaning approaches are used to clean the tweet data. After the data is clean and ready, the word embedding techniques, such as a bag of words and term frequency-Inverse document frequency, are used to convert the words into mathematical vectors. Finally, the model will be fitted using the combination of the above-mentioned word embedding techniques and machine …

Ucf Pegasus Plan – 3rd Grade – The Constitution, Shakira D. Reeves, Giulietta Wetzel, Elizabeth Pauly, Julia Cusack

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this unit, students will explore how the U.S. Constitution serves as the foundation for government, fulfilling its purpose and addressing societal needs. Students will delve into the structures, functions, powers, and limitations of government as outlined in both the U.S. and Florida Constitutions. Additionally, students will also learn about Federalism, the multi-level nature of government, and will learn to recognize the different responsibilities of government at the local, state, and national levels. Lastly, students will practice identifying an author's purpose within informational texts as they deepen their understanding of complex concepts related to governance and constitutional frameworks.

Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization

Human-Machine Communication

This is the complete volume of HMC Volume 7. Special Issue on Mediatization

Artificial Sociality, Simone Natale, Iliana Depounti

Human-Machine Communication

This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …