Towards a Generative Artificial Intelligence Competence Framework for Schools

Lana Sattelmaier () and Jan M. Pawlowski
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Lana Sattelmaier: Ruhr West University of Applied Science
Jan M. Pawlowski: Ruhr West University of Applied Science

A chapter in Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023), 2023, pp 291-307 from Springer

Abstract: Abstract Artificial Intelligence will change the workplace in all sectors within a short period of time. One of the key questions is how we can prepare the next generation for the emerging challenges. Therefore, we have developed a competence framework for schools, focusing on teacher's kids in K12. The framework consists of multiple levels: basic competencies (e.g., computational thinking, data competencies), AI competencies (e.g., Machine Learning), and emerging competencies (e.g., prompting in Large Language Models). Our competence framework can serve as a starting point for curriculum design and competence standards. One of the key challenges will be the interrelation of those competencies, i.e., how will AI change basic competencies in the future.

Keywords: competence framework; competencies; skills; Generative Artificial Intelligence; Artificial Intelligence; K12; schools; educators (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-340-5_26

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DOI: 10.2991/978-94-6463-340-5_26

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