Results 281 to 290 of about 25,687,398 (339)

Integrating professional machine translation literacy and data literacy

Lebende Sprachen, 2022
The data-driven paradigm of neural machine translation is a powerful translation technology based on state-of-the art approaches in artificial intelligence research.
Ralph Krüger
semanticscholar   +2 more sources

Data Literacy

S. Law, B. Yim
semanticscholar   +3 more sources

Data literacy assessments: a systematic literature review

Assessment in Education: Principles, Policy & Practice, 2023
With the exponential increase in the volume of data available in the 21st century, data literacy skills have become vitally important in work places and everyday life.
Yingqi Cui, Fu Chen, A. Lutsyk, Jacqueline P. Leighton, M. Cutumisu   +4 more
semanticscholar   +1 more source

Data literacy education through university-industry collaboration

Information and Learning Sciences, 2023
Purpose This study aims to explore the findings related to data literacy skills for students to succeed in the digital age labor market and the role of university-industry collaborations (UICs) in the co-design and co-delivery of curriculum for the ...
E. Tas
semanticscholar   +1 more source

Development and Validation of a Data Literacy Assessment Scale

Proceedings of the Association for Information Science and Technology, 2023
The recognition of data literacy as an important learning outcome in higher education has led to a call for assessment tools to measure students’ data literacy.
Jeonghyun Kim, Lingzi Hong, Sarah Evans, Erin Oyler‐Rice, Irhamni Ali   +4 more
semanticscholar   +1 more source

Critical Data Literacies

2023
A guide to everything you need to understand to navigate a world increasingly governed by data. Data has become a defining issue of current times. Our everyday lives are shaped by the data that is produced about us (and by us) through digital technologies.
Luci Pangrazio, Neil Selwyn
openaire   +1 more source

Supporting Critical Data Literacy in K-9 Education: Three Principles for Enriching Pupils’ Relationship to Data

International Conference on Interaction Design and Children, 2022
Children grow up in a data economy but grasping how their data are part of this eco-system and how data become valuable to others can be difficult. This work explores how to design tools and activities which support children’s critical data literacy for ...
K. Bilstrup, M. H. Kaspersen, M. Lunding, Marie-Monique Schaper, M. Mechelen, M. Tamashiro, R. C. Smith, O. Iversen, M. G. Petersen   +8 more
semanticscholar   +1 more source

Making sense of deepfakes: Socializing AI and building data literacy on GitHub and YouTube

New Media & Society, 2022
As a form of synthetic media built on the Internet’s extensive visual datasets with evolving machine learning techniques, deepfakes raise the specter of new types of informational harms and possibilities for image-based abuse.
Anthony McCosker
semanticscholar   +1 more source

Addressing AI and Data Literacy in Teacher Education: A Review of Existing Educational Frameworks

Workshop in Primary and Secondary Computing Education, 2021
Being able to use data and AI technologies responsibly is considered increasingly relevant to all school subjects. Despite this trend, existing AI literacy frameworks used to design educational activities often barely cover data literacy.
Viktoriya Olari, R. Romeike
semanticscholar   +1 more source

Exploring researchers’ artificial intelligence (AI) literacy: The mediating role of digital literacy and data literacy between 21st century skills and AI literacy

Information Development
Many researchers have started using artificial intelligence (AI) tools in the different parts of their scientific research processes. A high level of AI literacy is required to utilize AI tools effectively.
Oznur Seker, Kyungbin Kwon, Omer Kocak
semanticscholar   +1 more source