Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Data Science as a Route to AI for Middle- and High-School Students   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.

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The categories of this paper are: mtrl-th
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The categories of this paper are: math-ph
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The categories of this paper are: hep-th
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The categories of this paper are: dg-ga
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The categories of this paper are: supr-con
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The categories of this paper are: q-fin
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The categories of this paper are: adap-org
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The categories of this paper are: chem-ph
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The categories of this paper are: funct-an
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The categories of this paper are: cond-mat
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-ex
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The categories of this paper are: stat
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The categories of this paper are: ao-sci
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The categories of this paper are: math
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The categories of this paper are: atom-ph