NDLI: Applying abstraction to master complexity

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Applying abstraction to master complexity

Content Provider	ACM Digital Library
Author	Houle, Bernice J. Hill, Jonathan H. Merritt, Susan M. Stix, Allen
Abstract	Aptitude for managing abstraction may be a distinguishing characteristic of computer science majors. If this is so, and if this aptitude can be recognized among potential majors, those who are well suited for computer science but have not considered it as a major can be made aware of the possibility. Abstraction, as a human ability, is comprised of two complementary aspects: clearing away details to build simplifications and deriving generalizations that illuminate essentials. Agreement exists that this ability may be nurtured through instruction and experience, but that it rests upon a natural aptitude that is possessed by few. Agreement exists that this natural aptitude is assessable, although no instrument yet exists for measuring it efficiently among prospective computer science majors who have not begun computer science coursework. This paper deals with a study done at New York's Pace University to test undergraduate students across a range of majors for abstraction ability.
Starting Page	15
Ending Page	21
Page Count	7
File Format	PDF
ISBN	9781605580289
DOI	10.1145/1370164.1370169
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-05-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cognition Computer science education Abstraction Discipline Testing
Content Type	Text
Resource Type	Article

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