Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
复制标题
为 K-12 设计人工智能学习体验:新兴作品、未来机遇和设计框架
DOI:
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
Phoebe Lin
中科院分区:
文献类型:
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作者:
Xiaofei Zhou;Jessica Van Brummelen;Phoebe Lin
Artificial intelligence (AI) literacy is a rapidly growing research area and a critical addition to K-12 education. However, support for designing tools and curriculum to teach K-12 AI literacy is still limited. There is a need for additional interdisciplinary human-computer interaction and education research investigating (1) how general AI literacy is currently implemented in learning experiences and (2) what additional guidelines are required to teach AI literacy in specifically K-12 learning contexts. In this paper, we analyze a collection of K-12 AI and education literature to show how core competencies of AI literacy are applied successfully and organize them into an educator-friendly chart to enable educators to efficiently find appropriate resources for their classrooms. We also identify future opportunities and K-12 specific design guidelines, which we synthesized into a conceptual framework to support researchers, designers, and educators in creating K-12 AI learning experiences.
DOI:
10.1609/aaai.v33i01.33019795
发表时间:
2019
期刊:
Proceedings of the AAAI Conference on Artificial Intelligence
影响因子:
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作者:
Touretzky, David;Gardner-McCune, Christina;Martin, Fred;Seehorn, Deborah
通讯作者:
Seehorn, Deborah