Publication Date
| In 2025 | 0 |
| Since 2024 | 6 |
Descriptor
| Data Analysis | 6 |
| Data Collection | 3 |
| Foreign Countries | 3 |
| Data | 2 |
| Information Security | 2 |
| Media Literacy | 2 |
| Privacy | 2 |
| Teaching Methods | 2 |
| Universities | 2 |
| Artificial Intelligence | 1 |
| Career Development | 1 |
| More ▼ | |
Source
| Information and Learning… | 6 |
Author
| Andy Demeulenaere | 1 |
| Danielle Herro | 1 |
| Erin Rice-Oyler | 1 |
| Eylem Tas | 1 |
| Golnaz Arastoopour Irgens | 1 |
| Ibrahim Oluwajoba Adisa | 1 |
| Ina Sander | 1 |
| Irhamni Ali | 1 |
| Jeonghyun Kim | 1 |
| Leo Van Audenhove | 1 |
| Lingzi Hong | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 3 | 1 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Primary Education | 1 |
| Two Year Colleges | 1 |
| More ▼ | |
Audience
Location
| Brazil | 1 |
| European Union | 1 |
| Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLynn Rosalina Gama Alves; William de Souza Santos – Information and Learning Sciences, 2024
Purpose: This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors. Design/methodology/approach: This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution. Findings: The results point to a…
Descriptors: Foreign Countries, Universities, Data, Information Security
Sarah Amber Evans; Lingzi Hong; Jeonghyun Kim; Erin Rice-Oyler; Irhamni Ali – Information and Learning Sciences, 2024
Purpose: Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today's data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their…
Descriptors: Community College Students, Self Evaluation (Individuals), Data Analysis, Demography
Leo Van Audenhove; Lotte Vermeire; Wendy Van den Broeck; Andy Demeulenaere – Information and Learning Sciences, 2024
Purpose: The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as…
Descriptors: Data Analysis, Data Collection, Information Literacy, Foreign Countries
Eylem Tas – Information and Learning Sciences, 2024
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 development of students' data literacy. Design/methodology/approach: The study uses an…
Descriptors: Statistics Education, School Business Relationship, Teaching Methods, Labor Market
Ina Sander – Information and Learning Sciences, 2024
Purpose: In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches - media…
Descriptors: Foreign Countries, Media Literacy, Data, Critical Theory
Ibrahim Oluwajoba Adisa; Danielle Herro; Oluwadara Abimbade; Golnaz Arastoopour Irgens – Information and Learning Sciences, 2024
Purpose: This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms. Design/methodology/approach: This paper describes a pedagogical approach that uses a data science…
Descriptors: Learner Engagement, Elementary School Students, Data Science, Computation
