24 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…
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…
Juliana Elisa Raffaghelli, Stefania Manca, Bonnie Stewart, Paul Prinsloo + 1 more
'Paul Prinsloo' 'Albert Sangrà'] Introduction In the last ten years digitalized data have permeated our lives in a massive way. Beyond the internet ubiquity and cultural change outlined in what Castells ([13]) called the network society, we are now witnessing a datafied society, where large amounts of digital data-the…
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…
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| | | Gulf of Goal Formation | Gulf of Execution | Gulf of Evaluation | |-----------------------|-------------|------------------------|-------------------------|---------------------------| | Levels of abstraction | Strategic | Analysis literacy | Workflow literacy | Insight literacy | | | Tactical | Task literacy |…
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…
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…
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…
Nathan Emery, Erika Crispo, Sarah R. Supp, Andrew J. Kerkhoff + 5 more
There is a clear and concrete need for greater quantitative literacy in the biological and environmental sciences. Data science training for students in higher education necessitates well-equipped and confident instructors across curricula. However, not all instructors are versed in data science skills or…
Kimberly A Dill-McFarland, Steven J Hallam
We live in an increasingly data-driven world. This is strongly evident in the life sciences where high-throughput data generation platforms are transforming biology into information science. This has shifted major challenges in biological research from data generation to interpretation and knowledge translation.…
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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…
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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…
Rosario A. Marroquín-Flores, Maverick A. Campbell, Stephanie Grimes, Lisa B. Limeri
The ability to use data and evidence as the basis for scientific reasoning is a critical skill that undergraduate students must learn to successfully transition into science careers. There is a need for pedagogical tools that promote the development of science process skills and reduce barriers to implementation in the…
Flaka Pasha, Dardan Dreshaj, Adelina Ismaili, Idriz Sopjani + 1 more
Health literacy includes cognitive and social skills which help patients to access, understand and use medical information in ways that promote and maintain good health. Recently health literacy emerged as an important topic for public health and health policy makers. This study was designed to evaluate health literacy…
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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…
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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…