Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms

要旨

Artificial Intelligence (AI) education is an increasingly popular topic area for K-12 teachers. However, little research has investigated how AI curriculum and tools can be designed to be more accessible to all teachers and learners. In this study, we take a Value-Sensitive Design approach to understanding the role of teacher values in the design of AI curriculum and tools, and identifying opportunities to integrate AI into core curriculum to leverage learners' interests. We organized co-design workshops with 15 K-12 teachers, where teachers and researchers co-created lesson plans using AI tools and embedding AI concepts into various core subjects. We found that K-12 teachers need additional scaffolding in AI tools and curriculum to facilitate ethics and data discussions, and value supports for learner evaluation and engagement, peer-to-peer collaboration, and critical reflection. We present an exemplar lesson plan that shows entry points for teaching AI in non-computing subjects and reflect on co-designing with K-12 teachers in a remote setting.

著者
Phoebe Lin
Harvard University, Cambridge, Massachusetts, United States
Jessica Van Brummelen
MIT, Cambridge, Massachusetts, United States
DOI

10.1145/3411764.3445377

論文URL

https://doi.org/10.1145/3411764.3445377

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Human, ML & AI

[A] Paper Room 14, 2021-05-10 17:00:00~2021-05-10 19:00:00 / [B] Paper Room 14, 2021-05-11 01:00:00~2021-05-11 03:00:00 / [C] Paper Room 14, 2021-05-11 09:00:00~2021-05-11 11:00:00
Paper Room 14
13 件の発表
2021-05-10 17:00:00
2021-05-10 19:00:00
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