SHAPING THE FUTURE OF EDUCATION: AI AND DATA SCIENCE LITERACY AS A CIVIC IMPERATIVE IN EDUCATION

Sarah Schönbrodt, Susanne Podworny

Keywords: Data and problems, Tools, Explanatory Models, Learning Materials, AI and Data Science Competencies, AI and Data Science Curricula and Implementation in School, AI and Data Science Education for Social Good

Short Summary: This paper synthesizes insights from the AIDEA 2025 Symposium, which gathered international experts to explore how AI and data science can be meaningfully integrated into school curricula. Contributions highlight approaches to data literacy, AI teaching methods, curriculum development, ethics, pedagogy, and foundational concepts. Together, they outline an interdisciplinary vision for empowering students to understand, critique, and shape AI technologies, while identifying challenges and future directions for research and policy.

Topic Area: Data and Problems

Presenting Author: Sarah Schönbrodt

Presentation Type: Keynote Talk (ca. 1h)

Submission Number: 38