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The Perception Of The Implementation Of Culturally Relevant Pedagogy To Support Black Male Students In Mathematics – A Case Study, Chiquita Granville

Dissertations

Culturally Relevant Pedagogy is a method of education that promotes an inclusive and empowered learning environment by acknowledging and valuing students varied cultural origins. CRP is especially important for tackling the ongoing achievement discrepancies encountered by high school Black Male students in the context of mathematics instruction. This abstract emphasizes the value of culturally sensitive instruction in enhancing black male students' mathematics learning results and experiences.

This research will examine the difficulties faced by Black male students in Mathematics classes, including prejudice, a lack of cultural representation in the curriculum, and a lack of relevance between the subject matter and …

The Impact Of Childhood Adversity On Life Course Alcohol Use Patterns And Health Status Among People Living With Hiv, Rayna E. Gasik, Aubrey Spriggs Madkour, Simone J. Skeen, Gretchen Clum, Tishawn Francis, Erica Felker-Kantor, Tekeda Ferguson, David A. Welsh, Patricia E. Molina, Katherine P. Theall

School of Public Health Faculty Publications

Adverse childhood experiences (ACEs) and financial hardship are associated with increased likelihood of heavier alcohol use and health challenges in adulthood among persons living with HIV (PWH). We examined whether retrospectively captured lifetime drinking trajectories are a pathway through which childhood hardships affect current health in a sample of 365 adult PWH. Childhood economic hardship and ACEs were used as main predictors. Measures of alcohol use included age at first drink and lifetime drinking trajectories. Health indicators included health-related quality of life, frailty, number of comorbidities, and symptoms of anxiety, depression, and post-traumatic stress disorder (PTSD). Structural equation modeling (SEM) …

Jeff Armstrong Oral History, Jeff Armstrong

Raymond College

No abstract provided.

Modeling The Development Of Borderline Personality Disorder: A Formal Theory Approach, Alexandria M. Choate

USF Tampa Graduate Theses and Dissertations

Borderline personality disorder (BPD) is a complex disorder characterized by instabilities in emotion regulation, impulse control, and interpersonal relationships. BPD affects adolescent and adult populations at similar rates, with traits often detectable in late childhood or early adolescence. Despite some progress in the understanding of BPD and its development, contemporary theories have yet to address several important questions in the literature. The present study suggests that many limitations associated with current theoretical models of BPD may be attributable to an overdependence on verbally specified, or weak theories. In most cases, weak theories are constructed using vague or imprecisely defined hypotheses …

Understanding Organ Donation Messaging: A Qualitative Inquiry, Rebecca K. Britt, Amy A. Ritchart

The Qualitative Report

Promoting health communication about organ donation remains a crucial objective within Native American communities. The goals of the current study were to communicate with young adult Native Americans about the Organ Donation Willingness Model (ODWM; Horton & Horton, 1991) to gain their responses to materials from campaigns about donation strategies tailored to Native American communities. Six focus groups were conducted with a total of 31 participants. Data were analyzed using thematic analysis (Braun & Clarke, 2019, 2022) and following Smith’s guidelines (2008), which include showing deep respect for the group participants, conducting the study in a face-to-face setting, and being …

Constructing Fame: A Phenomenological Study Of Online Impression Management Among Indonesian Tiktok Celebrities, Vidi Sukmayadi, Dante Darmawangsa, Suffian Hadi Ayub, Sarah Annisa Fadhila

The Qualitative Report

The relevance of social media platforms in our daily lives is intensifying. Social media have become a "showcase" for our life experiences. In addition, they represent a range of dimensions of our status in the virtual and actual social world. These two factors trigger people to construct particular identities to thrive in dual social ecosystems. Subsequently, Tiktok's prominence as a current trending social media platform with a total of 500 million users globally transforms its function from a communication medium to a medium for gaining social capital. This phenomenon notably influences Indonesian society, with people being heavily invested in that …

E-Learning Challenges Faced By University Teachers During Covid-19 Pandemic, Ayesha Noor, Sana Mumtaz, Fozia Malik, Sultan Maqsood

The Qualitative Report

The research has explored various challenges related to E-learning dynamics faced by high-education academicians during the COVID-19 period. To develop an in-depth understanding, qualitative research methods were used and the narrative inquiry method was integrated for collecting data from interviewees. Data were collected from 14 university teachers via focus group discussions in which respondents were required to provide written narrations about the teaching-related challenges as well. Data were narrated from the words of respondents using the thematic analysis approach. Based on the analysis, seven major themes were derived and characterized as the key challenges of e-learning during COVID-19 named as …

Incorporating Design Based Implementation Research With A Randomized Controlled Trial To Develop And Evaluate The Efficacy Of Playful Rational Number Learning, Kreshnik N. Begolli, Vanessa N. Bermudez, Luettamae Lawrence, Lourdes M. Acevedo-Farag, Sabrina V. Valdez, Evelyn Santana, Daniela Alvarez-Vargas, June Ahn, Drew Bailey, Katherine Rhodes, Lindsey E. Richland, Andres S. Bustamante

Instructional Technology and Learning Sciences Faculty Publications

We combine design-based implementation research with a pre-registered RCT to address a long-standing challenge in psychological science: How to use psychological principles to address real-world problems while designing and implementing interventions in the field. We posit this as a design methodology for optimizing the translation between psychological science and real-world applications. We tested the efficacy of an extensively co-designed version of a game-based rational number intervention, Fraction Ball, versus "business-as-usual" math instruction and physical education in a sample of 4th/5th grade Latine students (N=360). Insights from nine co-design sessions with 20 teachers informed revisions and additions to a …

Evaluating The Use Of The Mobile Electrocardiogram Technology Kardiamobile™ In Community Settings: An Online Survey, Aimee Emmett, Bridie Kent, Alison James, Jane March-Mcdonald

School of Nursing and Midwifery

Background: In response to issues identified by community healthcare professionals (HCPs), including difficulty in routinely recording electrocardiograms (ECGs) at the time of their assessments with the population of patients referred to as ‘housebound’, one National Health Service (NHS) Trust adopted the mobile ECG technology; KardiaMobile™, supported by the Academic Health and Science Network (AHSN), in 2017–2018. The use and uptake of this technology were evaluated and are reported in this paper. Methods: A cross-sectional, mixed-methods online survey was conducted from August 2021 to October 2021. The respondents were a convenience sample of HCPs using KardiaMobile™ to detect atrial fibrillation (AF) …

Distinct Basal Ganglia Contributions To Learning From Implicit And Explicit Value Signals In Perceptual Decision-Making, Tarryn Balsdon, M. Andrea Pisauro, Marios G. Philiastides

School of Psychology

Metacognitive evaluations of confidence provide an estimate of decision accuracy that could guide learning in the absence of explicit feedback. We examine how humans might learn from this implicit feedback in direct comparison with that of explicit feedback, using simultaneous EEG-fMRI. Participants performed a motion direction discrimination task where stimulus difficulty was increased to maintain performance, with intermixed explicit- and no-feedback trials. We isolate single-trial estimates of post-decision confidence using EEG decoding, and find these neural signatures re-emerge at the time of feedback together with separable signatures of explicit feedback. We identified these signatures of implicit versus explicit feedback along …

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 …

Vol. 6, Iss.2 Entire Issue

The Journal of Economics and Politics

No abstract provided.

Congressional Perspectives On The Influence Of Businesses Through Government Relations: Congressional Staff Members From The Ohio Delegation Comment On Effective Strategies, Scott S. Wiggam

The Journal of Economics and Politics

No abstract provided.

The Canadian And United States Economies: A Comparison, Henry G. Rennie

The Journal of Economics and Politics

No abstract provided.

Paternalism, Industrial Democracy, And Unionization In The Cleveland Garment Industry: 1900–1935: The Case Of The Printz-Biederman And Joseph And Feiss Companies, Robert Ebert, Shea Monschein

The Journal of Economics and Politics

No abstract provided.

An Econometric Model Of Exchange Rate Bubbles, Irina H. Hakobyan

The Journal of Economics and Politics

No abstract provided.

Vol. 17 Entire Issue

The Journal of Economics and Politics

No abstract provided.

Voting Behavior In School District Tax Elections: An Analysis Of Property And Income Tax Options, David R. Shock

The Journal of Economics and Politics

No abstract provided.

Exploring The Experiences Of African American Female Students In Engineering: A Narrative Literature Review, Anissa Guerin, Phd

Tapestry: Journal of Research in Education

Abstract

This narrative literature review delves into the experiences of African American female students in engineering, addressing their persistent underrepresentation in the field despite advancements in postsecondary education. By examining a broad range of research, the study explores the unique challenges faced by these students and investigates tools for their persistence and degree completion. The theoretical framework draws from intersectionality theory, emphasizing the intersecting identities of race and gender in shaping these experiences. Methodologically, a narrative literature review approach was employed, facilitating a comprehensive analysis of existing scholarship. Data collection involved rigorous criteria focusing specifically on empirical research or original …