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Articles 55711 - 55720 of 55720
Full-Text Articles in Entire DC Network
Evidence-Based Strategies For Novice Teachers: Increasing The Participation Of Students With Autism Spectrum Disorder In Integrated Physical Education, Kristina K. Vargo, Jihyun Lee
Evidence-Based Strategies For Novice Teachers: Increasing The Participation Of Students With Autism Spectrum Disorder In Integrated Physical Education, Kristina K. Vargo, Jihyun Lee
Faculty Research, Scholarly, and Creative Activity
Autism spectrum disorder (ASD) is a pervasive developmental disorder that impacts approximately 1 in 36 students. Because of its high prevalence, it is likely that all physical education teachers will serve students with ASD during their careers. Although physical education leads to many improvements in students’ physical and social skills, students with ASD may experience challenges in the integrated physical education setting due to various factors, including motivation, skill proficiency, challenging behaviors, and sensory stimulation. The purpose of this article is to describe the challenges faced by some students with ASD in integrated physical education and to provide novice teachers …
Young Audience And Vod Platforms Of Linear Television. Perceptions About Playz, Mtmad And Flooxer, Belén Moreno Albarracín, Tania Blanco Sánchez
Young Audience And Vod Platforms Of Linear Television. Perceptions About Playz, Mtmad And Flooxer, Belén Moreno Albarracín, Tania Blanco Sánchez
Faculty Research, Scholarly, and Creative Activity
Introduction: The new audiovisual paradigm, marked by flexible consumption, a wide catalog and a participatory audience, increases the interest of linear television in connecting with young people. To that end, the channels manage specialized content platforms. This research aims to analyze Mtmad, Playz and Flooxer, and the perceptions about them. The specific objectives are to examine the catalogs; evaluate identification with management chains; analyze youth-content identification and study their consumption habits. Methodology: A content analysis based on web structures and catalogs is proposed; and a survey of 160 young people about their knowledge, identification and consumption patterns. Results: Mtmad leads …
Unmasking Public Sentiment: A Sample Efficient Approach To Analyzing Twitter Opinion On U.S. Aid To Ukraine, Satanu Ghosh, Nikhil Dewitt, Souvick Ghosh, Denise Mccoy
Unmasking Public Sentiment: A Sample Efficient Approach To Analyzing Twitter Opinion On U.S. Aid To Ukraine, Satanu Ghosh, Nikhil Dewitt, Souvick Ghosh, Denise Mccoy
Faculty Research, Scholarly, and Creative Activity
The U.S. aid to Ukraine is a bipartisan topic of extreme socio-political importance. While several organizations have conducted surveys to understand the public stance on this topic, there is no research to date that analyses public opinion on social media, possibly due to the lack of annotated data. Therefore, this research compares several sample-efficient methods (including in-context learning) to analyze tweet sentiments with minimal training data. First, we collect 11,289 tweets about the U.S. aid to Ukraine and mapped them to U.S. states. Next, we explore three different approaches to sentiment analysis: tool-based, embedding-based, and prompt-based. Our results indicate that …
“This Is Everyone's Issue”: Policy Entrepreneurs, Issue Framing, And Coalition Building In The Passage Of Automatic Criminal Record Expungement, Elsa Y. Chen, Sarah E. Lageson, Ericka B. Adams
“This Is Everyone's Issue”: Policy Entrepreneurs, Issue Framing, And Coalition Building In The Passage Of Automatic Criminal Record Expungement, Elsa Y. Chen, Sarah E. Lageson, Ericka B. Adams
Faculty Research, Scholarly, and Creative Activity
Research Summary: Since 2018, at least 12 U.S. states have introduced policies to expunge certain eligible arrest and criminal conviction records through automated or algorithmic means. Drawing on interviews with governmental representatives and community stakeholders, this paper identifies strategies used to pass this legislation in Pennsylvania and Utah, the first two states to enact automated expungement policies. We frame our findings around three established theoretical frameworks of public policy making—policy entrepreneurship, issue framing, and coalition building—illustrating their combined strategic importance with data gathered from those involved on the ground in the passage and adoption of automated expungement legislation. The findings …
Exploration Of The Effects Of Tai Chi Practice On Lower Limb Corticomuscular Coherence During Balance-Demanding Virtual Reality Conditions In Older Adults, Yang Hu, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez
Exploration Of The Effects Of Tai Chi Practice On Lower Limb Corticomuscular Coherence During Balance-Demanding Virtual Reality Conditions In Older Adults, Yang Hu, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez
Faculty Research, Scholarly, and Creative Activity
Tai Chi practice has been widely adopted to improve balance and prevent falls in older adults. However, the neural mechanisms underlying the benefits of Tai Chi are difficult to evaluate during traditional balance assessments. The goal of this study was to evaluate the effects of Tai Chi and healthy aging on corticomuscular coherence (CMC) while standing in virtual balance-demanding environments. We recorded neural, muscular, and behavioral data in an immersive virtual reality environment while implementing sensory and mechanical perturbations to introduce high postural threats. Through the acquisition of electroencephalography and electromyography signals, we examined β and γ CMC changes in …
Temporal Patterns Of The Introduced Sponge Hymeniacidon Perlevis (Montagu, 1814) In The Elkhorn Slough, California, Usa, Jackson T. Hoeke, Kerstin Wasson, Amanda S. Kahn
Temporal Patterns Of The Introduced Sponge Hymeniacidon Perlevis (Montagu, 1814) In The Elkhorn Slough, California, Usa, Jackson T. Hoeke, Kerstin Wasson, Amanda S. Kahn
Faculty Research, Scholarly, and Creative Activity
Hymeniacidon perlevis is a cosmopolitan sponge with a seasonal life cycle. We investigated seasonal and interannual dynamics of H. perlevis in Elkhorn Slough estuary, where it is an introduced species, and explored correlations between sponge cover and environmental conditions. We used sponge cover to estimate the potential effects of H. perlevis on its environment, and how those could vary across its seasonal life cycle. We found that recruitment is currently restricted to the upper estuary and while it varies annually, the frequency and density of sponge recruits have generally increased from 2007 to 2023. A seasonal life cycle was confirmed …
From Disciplinary Enthusiasm To Soulless Tasks: Norms Behind Computing Educators' Emotion Display, Virginia Grande, Päivi Kinnunen, Matthew Barr, Anne Kathrin Peters, Mihaela Sabin, Matilde Sánchez-Peña, Ethel Tshukudu
From Disciplinary Enthusiasm To Soulless Tasks: Norms Behind Computing Educators' Emotion Display, Virginia Grande, Päivi Kinnunen, Matthew Barr, Anne Kathrin Peters, Mihaela Sabin, Matilde Sánchez-Peña, Ethel Tshukudu
Faculty Research, Scholarly, and Creative Activity
Computing educators' emotion display is regulated by various norms and conventions. These (unwritten) rules affect which emotions educators feel comfortable expressing to different extents when students can perceive such displays. We draw on emotions and norms literature to investigate higher education computing educators' perceptions of what kinds of norms they have as criteria when considering which emotions they are (not) comfortable showing when teaching. Based on the qualitative content analysis of 22 interviews with computing educators from seven countries, we present various–sometimes connected or conflicting–norms that influence emotion display. These norms comprise moral, national, societal, professional, and affiliation norms that …
Grand Challenges For Human Factors And Ergonomics, Waldemar Karwowski, Gavriel Salvendy, Mica Endsley, William Rouse, Paul Salmon, Kay Stanney, Andrew Thatcher, Tony Andre, Jessie Yang, Hasan Ayaz, Ahmet Cakir, Vince Duffy, Colin Drury, Qin Gao, Yinni Guo, Peter Hancock, William S. Marras, Patrick Rau
Grand Challenges For Human Factors And Ergonomics, Waldemar Karwowski, Gavriel Salvendy, Mica Endsley, William Rouse, Paul Salmon, Kay Stanney, Andrew Thatcher, Tony Andre, Jessie Yang, Hasan Ayaz, Ahmet Cakir, Vince Duffy, Colin Drury, Qin Gao, Yinni Guo, Peter Hancock, William S. Marras, Patrick Rau
Faculty Research, Scholarly, and Creative Activity
Contemporary society faces a growing set of complex global issues representing significant human health, well-being, and sustainability threats. Human Factors and Ergonomics (HFE) has a critical role to play in responding to these issues; however, there remain a set of grand challenges that require resolution. This paper presents and discusses six grand challenges for HFE and related key research thrust areas for each of the challenges. The grand challenges are (1) Evolution in Societal Thinking; (2) Future of Human Work in Industry 5.0; (3) Climate Change and Sustainability; (4) Future of Education and Training; (5) Future of Personalized Health, and …
Poster: Synthetic Malware Generation Using Generative Models, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park
Poster: Synthetic Malware Generation Using Generative Models, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park
Faculty Research, Scholarly, and Creative Activity
Malware poses significant challenges to cybersecurity, exacerbated by the scarcity of high-quality datasets. This paper explores the use of Diffusion and Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) to generate synthetic malware samples as opcode sequences. The synthetic data, validated through classification metrics, demonstrates improved malware detection accuracy across families, particularly in addressing zero-day attacks. Results show that Diffusion achieves up to 99.6% accuracy in multi-class classification, outperforming WGAN-GP, which reaches up to 96.1%. Incorporating synthetic samples improves detection accuracy for rare malware families by up to 100%, underscoring the potential of generative models in enhancing malware detection.
Bridging Sql Mastery And Career Confidence For Undergraduate Students Through Simulated Job Interviews, Dailin Zheng, Yu Chen, Leslie J. Albert
Bridging Sql Mastery And Career Confidence For Undergraduate Students Through Simulated Job Interviews, Dailin Zheng, Yu Chen, Leslie J. Albert
Faculty Research, Scholarly, and Creative Activity
Employers increasingly prioritize candidates who can solve real-world Structured Query Language (SQL) problems, particularly during technical interviews. However, many undergraduate students feel underprepared for these interviews because they have not engaged in the deep learning needed to apply SQL concepts confidently. Additionally, students often fail to recognize the career relevance of SQL skills. This Teaching Tip introduces an immersive SQL lesson designed to bridge the gap between conceptual learning and practical application. The lesson includes a mock SQL technical interview, where students apply their knowledge to solve real-world business problems, class discussions on SQL-related careers, and a post-interview debrief to …