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Author Armoni, Michal
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Reduction ♦ Black box ♦ Reductive thinking
Abstract Reduction is a problem-solving strategy, relevant to various areas of computer science, and strongly connected to abstraction: a reductive solution necessitates establishing a connection among problems that may seem totally disconnected at first sight, and abstracts the solution to the reduced-to problem by encapsulating it as a black box. The study described in this article continues a previous, qualitative study that examined the ways undergraduate computer science students perceive, experience, and use reduction as a problem-solving strategy. The current study examines the same issue, but in the context of a larger population, using also quantitative analysis, and focusing on algorithmic problems. The findings indicate difficulties students have with the abstract characteristics of reduction and with acknowledging reduction as a general problem-solving strategy.
ISSN 15314278
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-01-01
Publisher Place New York
e-ISSN 15314278
Journal Journal on Educational Resources in Computing (JERIC)
Volume Number 8
Issue Number 4
Page Count 30
Starting Page 1
Ending Page 30


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Source: ACM Digital Library