Artificial Intelligence and Computer Science in EducationMartin Kandlhofer, Gerald Steinbauer, Sabine Hirschmugl-Gaisch, Petra Huber
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Zusammenfassungen
Artificial Intelligence (AI) already plays a major role in our daily life (e.g. intelligent household appliances like robotic vacuum cleaners or AI-based applications like Google Maps, Google Now, Siri, Cortana, ...). Sound knowledge about AI and the principles of computer science will be of vast importance for future careers in science and engineering. Looking towards the near future, jobs will largely be related to AI. In this context literacy in AI and computer science will become as important as classic literacy (reading/writing). By using an analogy with this process we developed a novel AI education concept aiming at fostering AI literacy. The concept comprises modules for different age groups on different educational levels. Fundamental AI/computer science topics addressed in each module are, amongst others, problem solving by search, sorting, graphs and data structures. We developed, conducted and evaluated four proof-of-concepts modules focusing on kindergarten/primary school as well as middle school, high school and university. Preliminary results of the pilot implementations indicate that the proposed AI education concept aiming at fostering AI literacy works.
Von Martin Kandlhofer, Gerald Steinbauer, Sabine Hirschmugl-Gaisch, Petra Huber im Text Artificial Intelligence and Computer Science in Education (2016)
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![]() Begriffe KB IB clear | AI literacy
, Informatikcomputer science
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![]() Nicht erwähnte Begriffe | Hochschule, Informatik-Didaktik, Informatik-Unterricht (Fachinformatik), Kinder, LehrerIn, Unterricht |
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5 Erwähnungen 
- Informatik für alle - 18. GI-Fachtagung Informatik und Schule (Arno Pasternak) (2019)
- AI Unplugged - Wir ziehen Künstlicher Intelligenz den Stecker (Stefan Seegerer, Annabel Lindner, Ralf Romeike) (2019)
- AI Unplugged - Wir ziehen Künstlicher Intelligenz den Stecker (Stefan Seegerer, Annabel Lindner, Ralf Romeike) (2019)
- Conceptualizing AI literacy - An exploratory review (Davy Tsz Kit Ng, Jac Ka Lok Leung, Samuel Kai Wah Chu, Maggie Shen Qiao) (2021)
- Past, Present and Future of Computing Education Research (Mikko Apiola, Sonsoles López-Pernas, Mohammed Saqr) (2023)
- Computing Education Research in Schools (Valentina Dagienė, Yasemin Gülbahar, Natasa Grgurina, Sonsoles López-Pernas, Mohammed Saqr, Mikko Apiola, Gabrielė Stupurienė)
- Computing Education Research in Schools (Valentina Dagienė, Yasemin Gülbahar, Natasa Grgurina, Sonsoles López-Pernas, Mohammed Saqr, Mikko Apiola, Gabrielė Stupurienė)
- Developing a holistic AI literacy assessment matrix (Nils Knoth, Marie Decker, Matthias Carl Laupichler, Marc Pinski, Nils Buchholtz, Katharina Bata, Ben Schultz) (2024)
- WIPSCE '24 (Tilman Michaeli, Sue Sentance, Nadine Bergner) (2024)
- Data-related practices for creating Artificial Intelligence systems in K-12 (Viktoriya Olari, Ralf Romeike) (2024)
- Data-related practices for creating Artificial Intelligence systems in K-12 (Viktoriya Olari, Ralf Romeike) (2024)
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