Symposium on Integrating AI and Data Science into School Education Across Disciplines
AIDEA
24. – 28. February 2025
Salzburg, Austria
2 minutes
The symposium provides a platform to present and discuss ongoing research projects, findings, ideas and initiatives in the field of AI and Data Science education. It provides opportunities to initiate new interdisciplinary projects.
Image generated with DreamStudio by stability.ai
Idea of the Symposium
AI technologies affect our daily lives and especially the lives of young people in almost all areas of life and are predicted to do so even more in the future. Therefore, AI education should be discussed from different educational perspectives and implemented at an early stage. This should include promoting an understanding of how AI systems work, as well as their limitations, opportunities, risks and creative potentials.
AI and Data Science literacy are increasingly essential subjects that need to be addressed in school curricula. In today’s digital age, data is being generated at an unprecedented rate. Thus, understanding how to analyze and interpret data is crucial to making informed decisions in a variety of fields. Data science literacy enables students to extract valuable insights from vast amounts of data and to make evidence-based decisions and solve complex problems. In addition, AI literacy is vital as AI becomes ubiquitous in our lives, influencing everything from the products we use to the way we work and live. Familiarity with AI concepts and applications enables students to understand and engage with the rapidly evolving technology landscape, fostering innovation and ensuring they can navigate the future with confidence and adaptability.
The symposium aims to promote a broad understanding of the educational opportunities and challenges of AI as part of school subjects and of how to equip individuals, especially students at school level, with the knowledge and skills needed to navigate effectively in the AI-driven world. It focuses on education for learning AI and data science and the development of mathematical, statistical and computer science skills that can be linked to AI and data literacy. The mere use of AI technologies in an educational context is not the focus of the symposium.
Scientific Program Committee
Related Projects
Sponsors
We thank the Deutsche Telekom Stiftung as the main sponsor of this symposium.
Further sponsors are the Institute of Mathematics at Paris Lodron University Salzburg, the Federal State Salzburg (Nr. F2400744-KOV), the City of Salzburg, Österreichische Statistische Gesellschaft, and Industriellenvereinigung Salzburg.
