25 papers · ranked by Valyu relevance
Jeonghyun Kim, Lingzi Hong, Ayoung Yoon, Yasir Ahmad,
As data literacy has emerged as a critical skill for professionals across industries, educators in higher education have incorporated it into their curricula and instruction. Understanding and evaluating the factors that shape an individual’s data literacy is important for benchmarking proficiency and tailoring…
Martina M. Echtenbruck, Simone Fühles-Ubach, Boris Naujoks, Elisabeth Kaliva
'Elisabeth Kaliva'] In an increasingly data-driven world, the ability to understand, interpret, and use data - data literacy - is emerging as a critical competence across all academic disciplines. The Data Literacy Initiative (DaLI) at TH Köln addresses this need by developing a comprehensive competence model for…
Charanjit Kaur, Pei P. Tan, Nurjannah Nurjannah, Ririn Yuniasih + 1 more
'Muhammad Arsyad Subu'] Data is becoming increasingly ubiquitous today, and data literacy has emerged an essential skill in the workplace. Therefore, it is necessary to equip high school students with data literacy skills in order to prepare them for further learning and future employment. In Indonesia, there is a…
Zi Jia Ng, Britney Foster, Troya L. Ellis, Sophie P. Barnes + 5 more
Data literacy enables members of a school to evaluate the credibility of the information they encounter, meaningfully interpret the findings in context, and empower stakeholders to make data-based decisions that can promote student success. However, schools are often not equipped to readily interpret, critically…
Helen Phelan, Fran Garry, Ailish Hannigan, Rafael Galvão de Almeida
With the growing use of personal and public data in everyday life, data literacy is increasing in importance. There is a significant body of research indicating the role of artistic practice in the regulation of our response to information and experience, particularly as these relate to experiences of trust and social…
Margaret A. Handley, Maricel G. Santos, María José Bastías, Paul B. Tchounwou
'Paul B. Tchounwou'] Throughout COVID-19, health officials have relied on data visualizations to communicate urgent messages about the spread of the virus and preventative measures. Relatively few efforts have employed participatory engagement with communities who have experienced a disproportionate burden of COVID-19…
Jane Watson, Caroline Smith
COVID-19 provided the world at large, including the world of mathematics education, with a challenge demanding attention and understanding. If met, this could potentially provide society with many of the skills needed to tackle the challenges of hyperobjects (Morton, 2013) such as climate change, which are potentially…
Hong Gao, Haochun Huai, Sena Yildiz-Degirmenci, Maria Bannert + 1 more
Reality with ChatGPT-Powered Enhancements Authors: ['Hong Gao' 'Haochun Huai' 'Sena Yildiz-Degirmenci' 'Maria Bannert' 'Enkelejda Kasneci'] Data literacy is essential in today's data-driven world, emphasizing individuals' abilities to effectively manage data and extract meaningful insights. However, traditional…
Keke Wu, Michelle Ho Tran, Emma Petersen, Varsha Koushik + 1 more
4.1.1 Stereotypes lead to personal insecurities & apathy about data. More than half of the participants struggled to accurately define data, and had never thought about its meaning before. Either independently or with the help of support staff, they defined data as information or numbers and thought of it as useful and…
Sara Beschi, Davide Falessi, Silvia Golia, Angela Locoro
—With the advent of the data era, and of new, more intelligent interfaces for supporting decision making, there is a growing need to define, model and assess human ability and data visualizations usability for a better encoding and decoding of data patterns. Data Visualization Literacy (DVL) is the ability of encoding…
Kristine Sørensen, Paul B. Tchounwou
Health literacy measurement is important to improve equity, health and well-being as part of health system transformation. However, health literacy data of good quality are often lacking or difficult to access for decision-makers. To better inform policy, research and practice, this paper discusses how to move from…
Zirui Shan, Vanessa Echeverria, Yuheng Li, Yi-Shan Tsai + 1 more
In today's data-driven world, students often struggle with interpreting visualisations due to limited visualisation literacy. Data comics have emerged as a promising medium to enhance engagement and understanding, but their educational value has seen little empirical examination, partly due to the effort required to…
Varona, Matthew, Bonilla, Karen + 8 more
Research in visualization literacy explores the skills required to engage with visualizations. This state-of-the-art report surveys the current literature in visualization literacy to provide a comprehensive overview of the field. We propose a taxonomy of visualization literacy that organizes the field into competency…
Louis J. Gross, Rachel Patton McCord, Sondra LoRe, Vitaly V. Ganusov + 5 more
Substantial guidance is available on undergraduate quantitative training for biologists, including reports focused on biomedical science, but far less attention has been paid to the graduate curriculum. In this setting, we propose an innovative approach to quantitative education that goes beyond recommendations of a…
Andrew McCluskey, Miguel Rivera, Antonia Mey
The role of computing in the chemical sciences is changing. Previously the domain of the theoretical or computational chemist, advanced digital skills, including data analysis and simulation, are becoming extremely relevant to all. Here, we discuss the importance of integrating computing and digital skills into an…
India D. Little, Laura M. Koehly, Chris Gunter
As genomic and personalized medicine becomes mainstream, assessing and understanding the public’s genetic literacy is paramount. Because genetic research drives innovation in this area and involves much of the public, it is equally important to assess its impact on genetic literacy. We designed a survey to assess…
Authors not listed
The discoverability and reusability of data is critical for machine learning to drive new discovery in the chemical sciences, and the ‘FAIR Guiding Principles for scientific data management and stewardship’ provide a measurable set of guidelines that can be used to ensure the accessibility of reusable data. We…
Rebecca Brunk, Kriti Shukla, Bryant Hutson, Yue Wang + 7 more
Genomic sequencing and other big biological data is unquestionably of paramount value, however the success in recruiting highly skilled individuals with diverse backgrounds has been limited. A main reason for this deficiency could be due to the lack of educational resources and early exposure to the field. With the…
Authors not listed
Raman spectroscopy is an increasingly powerful and fast-growing analytical technique across diverse disciplines, from materials science and chemistry to biology and medicine, thanks to advances in Raman instrumentation and greatly supported by the flourishing of chemometrics and artificial intelligence (AI). However…
Michiel J. D. Hooykaas, Cathelijn Aten, Elisabeth M. Hemelaar, Casper J. Albers + 2 more
While biodiversity decline continues and laypeople’s knowledge about species is limited, especially in children, high-quality communication is needed to raise awareness. For this, communicators should be aware of current knowledge levels in their target groups. We compared biodiversity communicators' estimates of the…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…
María José Álvarez-Alonso, Cristina de la Peña, Ricardo Scott
Reading is a crucial skill for critical thinking and cognitive development, yet many individuals experience difficulties that impact their daily lives. This study examines the neurophysiological differences between proficient and struggling readers using electroencephalography (EEG). The analysis focuses on the alpha…
Crystal Uminski, Christian Cammarota, Brian A. Couch, L. Kate Wright + 1 more
Visual models are a necessary part of molecular biology education because submicroscopic compounds and processes cannot be directly observed. Accurately interpreting the biological information conveyed by the shapes and symbols in these visual models requires engaging visual literacy skills. For students to develop…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Crystal Uminski, Dina L. Newman, L. Kate Wright
Molecular biology can be difficult for undergraduate students because course content is often taught using highly-abstract visual representations. Genetic concepts can be depicted with lines, letters, shapes, and symbols, and students need to engage their visual literacy skills to appropriately decipher these abstract…