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Teachers' Motivations to Learn about ML and AI

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Published:07 July 2022Publication History

ABSTRACT

We describe the development and trial of a survey based on self-determination theory to investigate the motivations of K-12 teachers to learn ML and AI. Our participants (n=28) were most motivated by personal enjoyment (an intrinsic motivator) and student benefits rather than extrinsic factors, such as external pressure. We will further investigate teacher motivation, as we suggest that this is an important aspect of ML and AI education research.

References

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  1. Teachers' Motivations to Learn about ML and AI

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    • Published in

      cover image ACM Conferences
      ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2
      July 2022
      686 pages
      ISBN:9781450392006
      DOI:10.1145/3502717

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 July 2022

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