BEYOND YOUNG PEOPLE’S PRIVACY ONLINE: DATA LITERACY PROJECTS FOR CRITICAL DATA EDUCATION

2020 ◽  
Vol 3 (2) ◽  
pp. 19-39
Author(s):  
Luci Pangrazio
Keyword(s):  
Online Data ◽  
Data Literacy ◽  
Critical Data

scholarly journals Critical Data Studies and Data Science in Higher Education

Seminar.net ◽  
2021 ◽  
Vol 17 (2) ◽  
Author(s):  
Dan Verständig
Keyword(s):  
Higher Education ◽  
Data Science ◽  
Media Theory ◽  
Digital Data ◽  
Science Methods ◽  
Data Literacy ◽  
Critical Data ◽  
Data Practices ◽  
Using Data

This paper discusses an explorative approach on strengthening critical data literacy using data science methods and a theoretical framing intersecting educational science and media theory. The goal is to path a way from data-driven to data-discursive perspectives of data and datafication in higher education. Therefore, the paper focuses on a case study, a higher education course project in 2019 and 2020 on education and data science, based on problem-based learning. The paper closes with a discussion on the challenges on strengthening data literacy in higher education, offering insights into data practices and the pitfalls of working with and reflecting on digital data.

scholarly journals Defining a critical data literacy for recommender systems: A media-grounded approach

2020 ◽  
Vol 12 (3) ◽  
pp. 17-29
Author(s):  
Arnaud Claes ◽  
Thibault Philippette
Keyword(s):  
Recommender Systems ◽  
Data Literacy ◽  
Critical Data

LiteRate: A Shiny R app for improving data literacy in Indonesia1

2020 ◽  
Vol 36 (4) ◽  
pp. 905-913
Author(s):  
Erika Siregar ◽  
Aris Prawisudatama
Keyword(s):  
Decision Maker ◽  
Statistical Literacy ◽  
Online Data ◽  
Web Based ◽  
Data Literacy ◽  
Web Scraping ◽  
Exploration Tool ◽  
Trusted Data ◽  
Effective Visualization ◽  
Visualization Techniques

The longer a decision-maker has to wait for the statistics, the less useful they are likely to be. This statement is not only related to how fast the data is available, but also how fast the data can be understood. As the leading portal in presenting trusted data in Indonesia, the Badan Pusat Statistik (BPS) website provides complete data that covers various areas, subjects, and domains. However, the visualization of these data seems to be lagging. These data are presented in the form of tables and static graphs that are monotonous and the lack of interactivity discourages users from exploring the data more. To tackle this gap, we developed liteRate which is an interactive web-based visualization/exploration tool that is based on the Shiny R. LiteRate aims to improve the public’s ability to understand the online data of the BPS’ by utilizing web scraping and headless browsers to produce ready-to-visualize data frames. Effective visualization techniques will empower users to quickly gain insight, see patterns, correlation, outliers, and view statistics across topics and areas. LiteRate hopes to increase statistical literacy in Indonesia as BPS continues to generate statistics that leave no one behind.

scholarly journals OpenStreetMap mapathons support critical data and visual literacy instruction

2020 ◽  
Vol 108 (4) ◽  
Author(s):  
Bethany Sheriese McGowan
Keyword(s):  
Open Source ◽  
Literacy Instruction ◽  
Visual Literacy ◽  
Learning Activity ◽  
Data Literacy ◽  
Effective Learning ◽  
Critical Data ◽  
Medical Library ◽  
Gis Data ◽  
Virtual Projects

OpenStreetMap (OSM) mapathons can offer a learner-centered means for critical data literacy and visual literacy instruction. Mapathons have been used as coordinated humanitarian mapping events in which participants use geographic information system (GIS) data and satellite imagery to create open-source maps for humanitarian support. Visual mapping is an effective learning activity because it encourages students to use big data to create a deliverable—an open-source map—that allows instructors to engage learners in data literacy and visual literacy at the highest cognitive level.Virtual Projects are published on an annual basis in the Journal of the Medical Library Association (JMLA) following an annual call for virtual projects in MLAConnect and announcements to encourage submissions from all types of libraries. An advisory committee of recognized technology experts selects project entries based on their currency, innovation, and contribution to health sciences librarianship.

scholarly journals Contributions of Paulo Freire for a Critical Data Literacy: a Popular Education Approach

2016 ◽  
Vol 12 (3) ◽  
Author(s):  
Alan Freihof Tygel ◽  
Rosana Kirsch
Keyword(s):  
Popular Education ◽  
Paulo Freire ◽  
Literacy Education ◽  
Data Literacy ◽  
Literacy Strategies ◽  
Critical Data ◽  
Oppressed People ◽  
Main Work ◽  
The World ◽  
Education In Brazil

Paulo Freire is the patron of education in Brazil. His main work - the Popular Education pedagogy - influences many educators all over the world who believe in education as a way of liberating poor oppressed people. One of the outcomes of Freire's work is a literacy method, developed in the 1960's. In this paper, we propose the adoption of elements of Freire's Literacy Method for use in a pedagogical pathway towards data literacy. After tracing some parallels between literacy education and data literacy, we suggest some data literacy strategies inspired on Freire's method. We also derive from it a definition for critical data literacy. 

Reliability of MTurk Data From Masters and Workers

2020 ◽  
Vol 41 (1) ◽  
pp. 30-36
Author(s):  
Steven V. Rouse
Keyword(s):  
Cognitive Abilities ◽  
Online Survey ◽  
Quality Data ◽  
Standard Samples ◽  
Online Data ◽  
Approval Ratings ◽  
Cognitive Abilities Test ◽  
Elite Status ◽  
Master Status ◽  
Amazon's Mechanical Turk

Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether researchers actually obtain higher quality data when they require that their MTurk Workers have Master status. In two different online survey studies (one using a personality test and one using a cognitive abilities test), the psychometric reliability of MTurk data was compared between a sample that required a Master qualification type and a sample that placed no status-level qualification requirement. In both studies, the Master samples failed to outperform the standard samples.

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