arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.01794cs.CY
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数据科学作为初中和高中学生通往AI的途径

Data Science as a Route to AI for Middle- and High-School Students

Shriram Krishnamurthi, Emmanuel Schanzer, Joe Gibbs Politz, Benjamin S. Lerner, Kathi Fisler, Sam Dooman

摘要:

Bootstrap项目的数据科学课程已经培训了大约100名教师,他们正在全国各地使用它。它是专门设计来帮助通过在广泛的机构。它强调有价值的课程目标,利用教育文献和其他计算推广项目的经验。它包含了面向数据的思维的“三个P”:承诺、陷阱和危险。本文简要介绍了课程的设计,内容和成果,并解释了其在人工智能课程的道路上的价值。

英文摘要:

The Bootstrap Project's Data Science curriculum has trained about 100 teachers who are using it around the country. It is specifically designed to aid adoption at a wide range of institutions. It emphasizes valuable curricular goals by drawing on both the education literature and on prior experience with other computing outreach projects. It embraces "three P's" of data-oriented thinking: the promise, pitfalls, and perils. This paper briefly describes the curriculum's design, content, and outcomes, and explains its value on the road to AI curricula.

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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