Artificial Intelligence in Compulsory K-12 Computer Science Classrooms: A Scalable Professional Development Offer for Computer Science Teachers

Franz Jetzinger, Sven Baumer, Tilman Michaeli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Given the ever-growing importance of artificial intelligence in our society and daily lives, everyone needs to learn about the core ideas and principles of this technology. While there is still a lack of empirical findings on the teaching and learning about AI in K-12 education, various teaching approaches and materials have been developed in recent years, and the topic is being introduced into K-12 computer science curricula. However, qualifying CS teachers to adequately teach this new field is a significant challenge, as they require extensive content knowledge as well as pedagogical content knowledge. In this paper, we describe the conditions and challenges and the resulting design of a professional development offer to prepare teachers for the introduction of AI into mandatory K-12 CS education in Bavaria (Germany). By designing a scalable PD program in a blended learning format and building on principles such as the "pedagogical double-decker", we successfully addressed challenges such as limited resources, a large number of teachers to be trained, and the significant heterogeneity of teachers' backgrounds. We also share the results of a formal evaluation and other lessons learned from the initial implementations, which contribute to the design of professional development for this pressing issue.

Original languageEnglish
Title of host publicationSIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
PublisherAssociation for Computing Machinery, Inc
Pages590-596
Number of pages7
ISBN (Electronic)9798400704239
DOIs
StatePublished - 7 Mar 2024
Event55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024 - Portland, United States
Duration: 20 Mar 202423 Mar 2024

Publication series

NameSIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
Volume1

Conference

Conference55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024
Country/TerritoryUnited States
CityPortland
Period20/03/2423/03/24

Keywords

  • artificial intelligence
  • computer science education
  • k-12
  • professional development
  • teacher education

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