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2023 | OriginalPaper | Chapter

What Students Can Learn About Artificial Intelligence – Recommendations for K-12 Computing Education

Authors : Tilman Michaeli, Ralf Romeike, Stefan Seegerer

Published in: Towards a Collaborative Society Through Creative Learning

Publisher: Springer Nature Switzerland

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Abstract

Technological advances in the context of digital transformation are the basis for rapid developments in the field of artificial intelligence (AI). Although AI is not a new topic in computer science (CS), recent developments are having an immense impact on everyday life and society. In consequence, everyone needs competencies to be able to adequately and competently analyze, discuss and help shape the impact, opportunities, and limits of artificial intelligence on their personal lives and our society. As a result, an increasing number of CS curricula are being extended to include the topic of AI. However, in order to integrate AI into existing CS curricula, what students can and should learn in the context of AI needs to be clarified. This has proven to be particularly difficult, considering that so far CS education research on central concepts and principles of AI lacks sufficient elaboration. Therefore, in this paper, we present a curriculum of learning objectives that addresses digital literacy and the societal perspective in particular. The learning objectives can be used to comprehensively design curricula, but also allow for analyzing current curricula and teaching materials and provide insights into the central concepts and corresponding competencies of AI.

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Title: What Students Can Learn About Artificial Intelligence – Recommendations for K-12 Computing Education
Authors: Tilman Michaeli
Ralf Romeike
Stefan Seegerer
Publisher: Springer Nature Switzerland
Book: Towards a Collaborative Society Through Creative Learning
Print ISBN: 978-3-031-43392-4

Electronic ISBN: 978-3-031-43393-1

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-43393-1_19

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