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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2017 . Peer-reviewed
License: Springer TDM
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Good (and Bad) Reasons to Teach All Students Computer Science

Authors: Colleen M. Lewis;

Good (and Bad) Reasons to Teach All Students Computer Science

Abstract

Recently everyone seems to be arguing that all students should learn computer science and/or learn to program. I agree. I see teaching all students computer science to be essential to counteracting our history and present state of differential access by race, class, and gender to computer science learning and computing-related jobs. However, teaching computer science is not a silver bullet or panacea. The content, assumptions, and implications of our arguments for teaching computer science matter. Some of the common arguments for why all students need to learn computer science are false; some do more to exclude than to expand participation in computing. This chapter seeks to deconstruct the many flawed reasons to teach all students computer science to help identify and amplify the good reasons.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
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