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Communication Commons™

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2025

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Articles 1681 - 1686 of 1686

Full-Text Articles in Communication

Perceptions Of Stem Education And Artificial Intelligence: A Twitter (X) Sentiment Analysis, Demetrice Smith-Mutegi, Yoseph Mamo, Jinhee Kim, Helen Crompton, Matthew Mcconnell Jan 2025

Perceptions Of Stem Education And Artificial Intelligence: A Twitter (X) Sentiment Analysis, Demetrice Smith-Mutegi, Yoseph Mamo, Jinhee Kim, Helen Crompton, Matthew Mcconnell

Teaching & Learning Faculty Publications

Background, context, and purpose of the study: Artificial intelligence (AI) is becoming increasingly prevalent in science, technology, engineering, and mathematics (STEM) education, holding promising potential for supporting the design and implementation of quality STEM education. However, there is a lack of data-based research studying the diverse perceptions of AI in STEM education as conveyed on social media, the factors that influence those perceptions, or the change in those perceptions over time among public audiences. Results, the main findings: The purpose of this study was to examine public perceptions of AI in STEM education by analyzing X posts (Tweets) between 04/28/2020 …

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It’S Time To Stop Calling People "Stakeholders", Bethann Garramon Merkle, Evelyn Valdez-Ward, Priya Shukla, Skylar R. Bayer Jan 2025

It’S Time To Stop Calling People "Stakeholders", Bethann Garramon Merkle, Evelyn Valdez-Ward, Priya Shukla, Skylar R. Bayer

Human–Wildlife Interactions

Although the term “stakeholder” has been widely used in science communication, recent expansion in the discourse around the negative connotations of the term necessitate that scientists and practitioners cease using the term. We discuss why this shift is necessary, how it affects our own praxis, and suggest resources for working through more respectful and just language. Looking to the science communication literature can help recalibrate terminology in positive ways.

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Engaging The Plus-Size Community Through Social Media And Public Relations, Esperanza Chavez Jan 2025

Engaging The Plus-Size Community Through Social Media And Public Relations, Esperanza Chavez

University of the Pacific Theses and Dissertations

This thesis explores which platform, TikTok or Instagram, best supports engagement andcommunity building for the plus-size audience. Grounded in theories by Goffman, Berger & Luckmann, and David Meerman Scott’s 85-10-5 Rule, the study combines strategic PR methods with digital media tools to elevate plus-size voices. The campaign included 30 Instagram posts, 35 TikToks, street interviews, and a podcast series, all designed and executed for this project. Engagement was measured through likes, comments, shares, saves, follower growth, and qualitative audience feedback.

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Narrative Inquiry Into The Socio Economic Integration And Resilience Of The Mien Community In The United States, Teresa M. Saefong Jan 2025

Narrative Inquiry Into The Socio Economic Integration And Resilience Of The Mien Community In The United States, Teresa M. Saefong

University of the Pacific Theses and Dissertations

This qualitative study examined the socioeconomic integration of the Mien community, a refugee minority sometimes overlooked in research and policy discussions, in the United States. Five participants shared their experiences through in-depth interviews and community observations. The study utilizes narrative inquiry and is informed by community cultural wealth and resilience theory. The analysis incorporated restorying, comparative, and performative approaches. The findings suggested that Mien integration depended on intergenerational storytelling, clan-based networks, multilingual skills, and the adaption of traditional practices within U.S. institutions. Community organizations were important for keeping culture alive and filling in the gaps in institutional services by giving …

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Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah Jan 2025

Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah

Journal of International Technology and Information Management

This study examined the predictive ability of machine learning algorithms in identifying crises within African stock markets. The study employed seven distinct machine-learning models, analyzing historical stock prices from eight stock markets, three major sentiment indicators, and the exchange rates of local currencies against the US dollar, with each data spanning from May 1, 2007, to April 1, 2023. Extreme Gradient Boosting (XGBoost) emerged as the most effective algorithm for predicting crises. Historical stock prices and exchange rates were identified as the most critical features for prediction. On the sentiment side, investors’ perceptions of potential volatility on the S&P 500, …

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Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd Jan 2025

Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd

Journal of International Technology and Information Management

Generative Artificial Intelligence (AI) presents transformative opportunities for higher education, enabling personalized learning, enhanced student engagement, and efficient pedagogical practices. This tutorial-style article guides educators in integrating generative AI into their classrooms through hands-on activities, practical strategies, and reflective exercises. It explores the capabilities of AI tools such as ChatGPT, their applications across disciplines, and the ethical considerations for their use. By cultivating critical thinking and fostering student readiness for AI-driven futures, this article underscores the transformative potential of generative AI in higher education with an emphasis on the academic areas of business analytics, information systems, and computer science.

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