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Reduction in CS: A (Mostly) Quantitative Analysis of Reductive Solutions to Algorithmic Problems

Reduction in CS: A (Mostly) Quantitative Analysis of Reductive Solutions to Algorithmic Problems 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal on Educational Resources in Computing (JERIC) Association for Computing Machinery

Reduction in CS: A (Mostly) Quantitative Analysis of Reductive Solutions to Algorithmic Problems

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2009 by ACM Inc.
ISSN
1531-4278
DOI
10.1145/1482348.1482350
Publisher site
See Article on Publisher Site

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.

Journal

Journal on Educational Resources in Computing (JERIC)Association for Computing Machinery

Published: Jan 1, 2009

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