arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.10228cs.CYcs.AI

Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework

University of Rochester(罗切斯特大学);Massachusetts Institute of Technology(麻省理工学院);Harvard University(哈佛大学)

Xiaofei Zhou, Jessica Van Brummelen, Phoebe Lin

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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