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javieraatenas-pixel edited this page May 30, 2026 · 17 revisions

Welcome to the data_literacy_AI wiki!

Wiki pages Pages 34

Home
1. What is Data?
1.1 Understanding Open Data
1.2 Open Data: Definitions, Principles, Formats, and Typologies
1.3 Using Open Data as OER Higher Education
1.4 Data Literacy, Open Data & Civic Participation
1.5 Open Data, Critical Pedagogy and Civic Participation
1.6 Critical Data Literacy Beyond Data Skills
2. Understanding Data Privacy and Data Protection
2.1 Principles of data ethics
2.2 Anonymising Data
2.3 Critical Data Literacy for Citizenship through Open Data
2.4 Civic monitoring, Active Citizenship and Open Data
2.5 Data Agency and Digital Rights
3. Intro to data analysis and visualisation
3.1 Advancing Critical Data Literacies Through Citizen Science
3.2 Using Data Journalism Techniques to Advance Data Literacies
3.3 Intro to Data Storytelling
3.4 Data Storytelling and Data Visualisation
3.5 Principles and elements of visualisations
4 Understanding Data Ethics
4.1 What is Data Feminism?
4.2 What is Data Justice?
4.3 Understanding Data Justice
4.4 What is Indigenous Data Sovereignty?
4.5 Reframing data ethics in research methods education
5. A Critical Approach to AI and Algorithms
5.1 Examining AI Ethics
5.2 Advancing Critical Data and AI Literacies Through Authentic and Real‐World Assessment Design Using a Data Justice Approach
5.3 Global Citizenship in an Algorithmic World
5.4 Critical and creative pedagogies for AI and data literacy
5.5 Introduction to Algorithmic Auditing
5.7 The Datafied Present and Future: A Guide for Academic Practice
6 Ethical considerations about the datafication of education

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